# Communication

Published articles for Communication.

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## Executive Director Search Extended to September 22

DevFeed: [Executive Director Search Extended to September 22](<https://devfeed.tech/articles/executive-director-search-extended-to-september-22-30935.md>)

Original publisher: [Read original article](<https://www.djangoproject.com/weblog/2026/sep/16/executive-director-search-extended/>)

Author: Jeff Triplett and the DSF Board

Published: 2026-09-16T12:50:40Z

Content type: news

Language: en

Sources: [The Django weblog](<https://devfeed.tech/sources/the-django-weblog.md>)

Topics: [Django](<https://devfeed.tech/topics/django.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Job](<https://devfeed.tech/topics/job.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [communication](<https://devfeed.tech/tags/communication.md>), [community](<https://devfeed.tech/tags/community.md>), [django](<https://devfeed.tech/tags/django.md>), [framework](<https://devfeed.tech/tags/framework.md>), [fundraising](<https://devfeed.tech/tags/fundraising.md>), [job](<https://devfeed.tech/tags/job.md>), [leadership](<https://devfeed.tech/tags/leadership.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [organizational](<https://devfeed.tech/tags/organizational.md>), [python](<https://devfeed.tech/tags/python.md>), [relationships](<https://devfeed.tech/tags/relationships.md>)

### AI overview

The Django Software Foundation has extended applications for its first Executive Director through September 22, 2026, anywhere on Earth. The role focuses on fundraising, partnerships, operations, and supporting the Django community.

### Source excerpt

We are extending the search for the Django Software Foundation's first Executive Director. Applications now close at the end of Tuesday, September 22, 2026, anywhere on Earth (AoE). As long as it is still September 22 somewhere, your application counts. We are happy with the applications we received. We also knew several people had applications in progress, and it took a while for word about the role to reach everyone it should have. Giving people a little more time felt like the fairest option. If you were most of the way there, you have until Tuesday. If you have already applied, this does not slow anything down for you. We are reviewing applications as they come in, and we will reach out to candidates and schedule interviews on the same timeline we planned. The Executive Director will play a central role in helping the DSF grow its capacity and build a sustainable future for the Django project and its community. That includes leading fundraising and partnerships, supporting the Foundation's operations and programs, and working closely with the board, staff, volunteers, and the wider Django community. We are looking for an experienced nonprofit leader who is comfortable taking on a broad role and building things as they go. Fundraising is central to this job. We need someone who is at ease sitting down with companies, making the case for Django, and connecting what the DSF does to what those organizations care about. Much of the Foundation's future depends on growing those relationships and turning them into steady support. You don't need to be a Django or Python expert, and you don't need prior involvement in the Django community. Experience with open source or other community-driven organizations is welcome, but we are primarily looking for someone with strong fundraising instincts, plus leadership, communication, relationship-building, and organizational skills. Could that person be you? If you have been waiting for the right opportunity to step forward, we enc

## How Engineering Principles Can Help You Scale

DevFeed: [How Engineering Principles Can Help You Scale](<https://devfeed.tech/articles/how-engineering-principles-can-help-you-scale-27372.md>)

Original publisher: [Read original article](<http://engineering.khanacademy.org/posts/eng-principles-help-scale.htm>)

Author: Khan Academy

Published: 2019-08-21T22:00:00Z

Content type: opinion

Language: en

Sources: [Khan Academy](<https://devfeed.tech/sources/khan-academy.md>)

Topics: [Development](<https://devfeed.tech/topics/development.md>), [Code](<https://devfeed.tech/topics/code.md>), [Processes](<https://devfeed.tech/topics/processes.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [communication](<https://devfeed.tech/tags/communication.md>), [decision-making](<https://devfeed.tech/tags/decision-making.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [growth](<https://devfeed.tech/tags/growth.md>), [news](<https://devfeed.tech/tags/news.md>), [process](<https://devfeed.tech/tags/process.md>), [professional-development](<https://devfeed.tech/tags/professional-development.md>), [scale](<https://devfeed.tech/tags/scale.md>), [velocity](<https://devfeed.tech/tags/velocity.md>)

### AI overview

Marta Kosarchyn describes how Khan Academy's growing engineering team outgrew its initial principles. The article argues that evolving engineering principles can support scaling while preserving culture and engagement, and explains how the original approach eventually contributed to slower delivery, code clutter, and implicit architectural decisions.

### Source excerpt

By Marta Kosarchyn Our engineering team has grown a lot over the past couple of years, and we're ... Read more

## Khan Academy's Engineering Principles

DevFeed: [Khan Academy's Engineering Principles](<https://devfeed.tech/articles/khan-academy-s-engineering-principles-27373.md>)

Original publisher: [Read original article](<http://engineering.khanacademy.org/posts/engineering-principles.htm>)

Author: Khan Academy

Published: 2016-06-06T22:00:00Z

Content type: opinion

Language: en

Sources: [Khan Academy](<https://devfeed.tech/sources/khan-academy.md>)

Topics: [context](<https://devfeed.tech/topics/context.md>), [Concurrent Programming](<https://devfeed.tech/topics/concurrent-programming.md>)

Tags: [communication](<https://devfeed.tech/tags/communication.md>), [company](<https://devfeed.tech/tags/company.md>), [context](<https://devfeed.tech/tags/context.md>), [eng-leads](<https://devfeed.tech/tags/eng-leads.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [news](<https://devfeed.tech/tags/news.md>), [team](<https://devfeed.tech/tags/team.md>)

### AI overview

Ben Kamens explains how growing companies can reduce the impact of communication failures by documenting shared engineering principles. Khan Academy's principles give team members context for making decisions amid ambiguity and changing priorities.

### Source excerpt

⭐ Read about our 2019 revision of the principles! ⭐ By Ben Kamens You know those super-frustrating movie ... Read more

## Accelerating Dropless MoE Training in JAX with NVIDIA Transformer Engine

DevFeed: [Accelerating Dropless MoE Training in JAX with NVIDIA Transformer Engine](<https://devfeed.tech/articles/accelerating-dropless-moe-training-in-jax-with-nvidia-transformer-engine-21079.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/accelerating-dropless-moe-training-in-jax-with-nvidia-transformer-engine/>)

Author: Tanya Lenz

Published: 2026-09-14T16:39:15Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Routing (disambiguation)](<https://devfeed.tech/topics/routing.md>), [GB200](<https://devfeed.tech/topics/gb200.md>), [Network](<https://devfeed.tech/topics/network.md>), [Python](<https://devfeed.tech/topics/python.md>), [deepseek](<https://devfeed.tech/topics/deepseek.md>), [mixtral](<https://devfeed.tech/topics/mixtral.md>), [qwen](<https://devfeed.tech/topics/qwen.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [communication](<https://devfeed.tech/tags/communication.md>), [deepseek](<https://devfeed.tech/tags/deepseek.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [gb200](<https://devfeed.tech/tags/gb200.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [mixtral](<https://devfeed.tech/tags/mixtral.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [mlops](<https://devfeed.tech/tags/mlops.md>), [moe](<https://devfeed.tech/tags/moe.md>), [networks](<https://devfeed.tech/tags/networks.md>), [nvfp4](<https://devfeed.tech/tags/nvfp4.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>), [python](<https://devfeed.tech/tags/python.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [router](<https://devfeed.tech/tags/router.md>), [routing](<https://devfeed.tech/tags/routing.md>), [tensors](<https://devfeed.tech/tags/tensors.md>), [token](<https://devfeed.tech/tags/token.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [training-ai-models](<https://devfeed.tech/tags/training-ai-models.md>)

### AI overview

This article explains how NVIDIA Transformer Engine and JAX kernel optimizations accelerate dropless Mixture of Experts (MoE) training. It describes bottlenecks from token routing, expert dispatch and gathering, all-to-all communication, and ragged expert matrix operations. In DeepSeek-V3 training on NVIDIA GB200, the optimized approach increased performance from 103 to 1,068 TFLOPS per GPU, a 10.4x improvement.

### Source excerpt

Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE...

## A working incident response model for GPU clouds

DevFeed: [A working incident response model for GPU clouds](<https://devfeed.tech/articles/a-working-incident-response-model-for-gpu-clouds-34012.md>)

Original publisher: [Read original article](<https://sridharrajarao.com/blog/gpu-cloud-incident-response-model/>)

Author: Sridhar Rajarao

Published: 2026-09-12T00:00:00Z

Content type: article

Language: en

Sources: [Sridhar Rajarao](<https://devfeed.tech/sources/sridhar-rajarao.md>)

Topics: [incident](<https://devfeed.tech/topics/incident.md>), [Incident response](<https://devfeed.tech/topics/incident-response.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>), [Tooling](<https://devfeed.tech/topics/tooling.md>)

Tags: [communication](<https://devfeed.tech/tags/communication.md>), [debugging](<https://devfeed.tech/tags/debugging.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gpu-cloud](<https://devfeed.tech/tags/gpu-cloud.md>), [grafana](<https://devfeed.tech/tags/grafana.md>), [incident](<https://devfeed.tech/tags/incident.md>), [incident-management](<https://devfeed.tech/tags/incident-management.md>), [incident-response](<https://devfeed.tech/tags/incident-response.md>), [jira](<https://devfeed.tech/tags/jira.md>), [management](<https://devfeed.tech/tags/management.md>), [on-call](<https://devfeed.tech/tags/on-call.md>), [operations](<https://devfeed.tech/tags/operations.md>), [ownership](<https://devfeed.tech/tags/ownership.md>), [pagerduty](<https://devfeed.tech/tags/pagerduty.md>), [review](<https://devfeed.tech/tags/review.md>), [slack](<https://devfeed.tech/tags/slack.md>), [sre](<https://devfeed.tech/tags/sre.md>)

### AI overview

This article presents an incident response model for GPU clouds and other customer-facing infrastructure businesses. It emphasizes preparation, named ownership, meaningful alert paths, incident command, separation of technical work from customer communication, and post-incident learning. It argues that tools such as PagerDuty, Jira, Grafana, and Slack are useful only within a clear operating model.

### Source excerpt

The tools matter, but they only work when they sit inside a clear operating model: ownership, signal, command, communication, and learning.

## Ubisoft debuts Player Council platform to expand early game development feedback

DevFeed: [Ubisoft debuts Player Council platform to expand early game development feedback](<https://devfeed.tech/articles/ubisoft-debuts-player-council-platform-to-expand-early-game-development-feedback-15083.md>)

Original publisher: [Read original article](<https://www.gamedeveloper.com/business/ubisoft-debuts-player-council-platform-to-expand-early-game-development-feedback>)

Author: Bryant Francis

Published: 2026-08-26T15:50:50Z

Content type: news

Language: en

Sources: [gamedeveloper](<https://devfeed.tech/sources/gamedeveloper.md>)

Topics: [Game Development](<https://devfeed.tech/topics/game-development.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [communication](<https://devfeed.tech/tags/communication.md>), [development-process](<https://devfeed.tech/tags/development-process.md>), [external](<https://devfeed.tech/tags/external.md>), [game-development](<https://devfeed.tech/tags/game-development.md>), [gamescom](<https://devfeed.tech/tags/gamescom.md>), [multiplayer](<https://devfeed.tech/tags/multiplayer.md>), [platform](<https://devfeed.tech/tags/platform.md>), [play](<https://devfeed.tech/tags/play.md>), [projects](<https://devfeed.tech/tags/projects.md>), [prototype](<https://devfeed.tech/tags/prototype.md>), [prototypes](<https://devfeed.tech/tags/prototypes.md>)

### AI overview

Ubisoft has launched The Player Council, a platform that invites players to provide feedback on early concepts, prototypes, and live experiences. The initiative is intended to involve players before games reach the first playable prototype stage and includes projects such as Codename Split Point and Codename Rook.

### Source excerpt

Player Council members will be invited to test 'early concepts, prototypes, and live experiences.'

## MTIA 300: Meta's First Training Chip with Built-in NICs and Communication-Offloading Engines

DevFeed: [MTIA 300: Meta's First Training Chip with Built-in NICs and Communication-Offloading Engines](<https://devfeed.tech/articles/mtia-300-meta-s-first-training-chip-with-built-in-nics-and-communication-offloading-engines-131.md>)

Original publisher: [Read original article](<https://engineering.fb.com/2026/08/24/networking-traffic/mtia-300-meta-training-chip-built-in-nics/>)

Author: Rajiv Krishnamurthy; Wes Bland

Published: 2026-08-24T17:45:52Z

Content type: article

Language: en

Sources: [Engineering at Meta](<https://devfeed.tech/sources/engineering-at-meta.md>)

Topics: [recommendation systems](<https://devfeed.tech/topics/recommendation-systems.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [chip-design](<https://devfeed.tech/tags/chip-design.md>), [communication](<https://devfeed.tech/tags/communication.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [devinfra](<https://devfeed.tech/tags/devinfra.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [meta](<https://devfeed.tech/tags/meta.md>), [networking-traffic](<https://devfeed.tech/tags/networking-traffic.md>), [performance](<https://devfeed.tech/tags/performance.md>), [production-engineering](<https://devfeed.tech/tags/production-engineering.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

Meta describes MTIA 300, an in-house accelerator for training ranking and recommendation models, with built-in network chiplets and a co-designed HCCL communication library. The design targets communication-heavy distributed training by integrating RDMA NICs into the chip package and offloading communication work.

### Source excerpt

MTIA 300 is the first of Meta's family of in-house training and inference accelerators optimized for training ranking and recommendation models. We're sharing how MTIA 300's built-in NIC chiplets allow it to meet the communication needs associated with training recommendation models with superior performance over general-purpose GPUs. By co-designing MTIA's communication library, HCCL, alongside the [...] Read More... The post MTIA 300: Meta's First Training Chip with Built-in NICs and Communication-Offloading Engines appeared first on Engineering at Meta.

## GPU-Accelerated Clustering for Financial Instruments at Scale

DevFeed: [GPU-Accelerated Clustering for Financial Instruments at Scale](<https://devfeed.tech/articles/gpu-accelerated-clustering-for-financial-instruments-at-scale-6832.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/gpu-accelerated-clustering-for-financial-instruments-at-scale/>)

Author: Elizabeth Goodman

Published: 2026-08-21T16:21:04Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [Algorithm](<https://devfeed.tech/topics/algorithm.md>), [Matrix](<https://devfeed.tech/topics/matrix-org.md>)

Tags: [batch](<https://devfeed.tech/tags/batch.md>), [communication](<https://devfeed.tech/tags/communication.md>), [data-analytics-processing](<https://devfeed.tech/tags/data-analytics-processing.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [financial-services](<https://devfeed.tech/tags/financial-services.md>), [gb200](<https://devfeed.tech/tags/gb200.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [memory](<https://devfeed.tech/tags/memory.md>), [nemo](<https://devfeed.tech/tags/nemo.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [post](<https://devfeed.tech/tags/post.md>), [scale](<https://devfeed.tech/tags/scale.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

A GPU-accelerated workflow uses rolling correlation and tail-dependence matrices to cluster financial instruments for portfolio construction, risk aggregation, statistical arbitrage, and trade surveillance. Its adaptive SymNMF-based solver supports soft factor loadings and hard cluster labels, while memory-efficient and distributed implementations scale from single GPUs to one million instruments across multiple nodes.

### Source excerpt

Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor...

## Sightlines issue no.2: What leaders need to know about building agents

DevFeed: [Sightlines issue no.2: What leaders need to know about building agents](<https://devfeed.tech/articles/sightlines-issue-no-2-what-leaders-need-to-know-about-building-agents-10049.md>)

Original publisher: [Read original article](<https://www.figma.com/blog/sightlines-issue-no2/>)

Author: Figma

Published: 2026-08-20T19:36:00Z

Content type: article

Language: en

Sources: [Figma Blog](<https://devfeed.tech/sources/figma-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Security](<https://devfeed.tech/topics/security.md>), [atlassian](<https://devfeed.tech/topics/atlassian.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [communication](<https://devfeed.tech/tags/communication.md>), [design](<https://devfeed.tech/tags/design.md>), [leadership](<https://devfeed.tech/tags/leadership.md>), [product-development](<https://devfeed.tech/tags/product-development.md>), [security](<https://devfeed.tech/tags/security.md>), [testing](<https://devfeed.tech/tags/testing.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

This issue of Figma's Sightlines newsletter shares guidance from design, product, and engineering leaders on building agentic products. It focuses on trust, security, transparency, governance, testing, responsible autonomy, and keeping people accountable as agents handle more workflows.

### Source excerpt

Agentic products pose a unique set of design challenges. How do you build a tool that's powerful and knowledgeable enough to be a true partner, while keeping trust and security at the core? Here's what we've heard from leaders.

## How to Ensure a Smooth Design Handoff

DevFeed: [How to Ensure a Smooth Design Handoff](<https://devfeed.tech/articles/how-to-ensure-a-smooth-design-handoff-9061.md>)

Original publisher: [Read original article](<https://ixdf.org/literature/article/how-to-ensure-a-smooth-design-handoff>)

Author: Kasturika Kasturika

Published: 2026-08-19T10:00:00Z

Content type: article

Language: en

Sources: [UX Daily - User Experience Daily](<https://devfeed.tech/sources/ux-daily-user-experience-daily.md>)

Topics: [User Experience](<https://devfeed.tech/topics/user-experience.md>), [User interface design](<https://devfeed.tech/topics/ui-design.md>), [Usability](<https://devfeed.tech/topics/usability.md>), [Accessibility](<https://devfeed.tech/topics/accessibility.md>), [Agile](<https://devfeed.tech/topics/agile.md>)

Tags: [accessibility](<https://devfeed.tech/tags/accessibility.md>), [agile](<https://devfeed.tech/tags/agile.md>), [cc-by-sa](<https://devfeed.tech/tags/cc-by-sa.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [communication](<https://devfeed.tech/tags/communication.md>), [design](<https://devfeed.tech/tags/design.md>), [developers](<https://devfeed.tech/tags/developers.md>), [interaction-design](<https://devfeed.tech/tags/interaction-design.md>), [usability](<https://devfeed.tech/tags/usability.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

This article explains how designers and developers can collaborate more effectively during design handoffs. It emphasizes clear communication, mutual understanding of design and development constraints, and shared responsibility for delivering a good user experience, with particular attention to specifications, accessibility, responsive behavior, and agile workflows.

### Source excerpt

In your work as a designer, you will find yourself working closely with different stakeholders, and none more common than software engineers or developers, who are responsible for implementing your designs. Designers and developers share a common goal -- to do what's best for the user and for the business. But the day-to-day realities of their collaboration aren't so clear-cut and idyllic. The main reason: miscommunication. Here are some tips to help you maintain smooth relations with "the other side."Communication is the most important skill a designer must have. In fact, every deliverable a designer creates is a form of communication: personas, journey maps, storyboards, sitemaps, user flow...

## How to Explain Complex Design Ideas So People Get Excited and Promote You

DevFeed: [How to Explain Complex Design Ideas So People Get Excited and Promote You](<https://devfeed.tech/articles/how-to-explain-complex-design-ideas-so-people-get-excited-and-promote-you-9059.md>)

Original publisher: [Read original article](<https://ixdf.org/literature/article/how-to-communicate-clearly-and-gain-people-s-interest-2>)

Author: Rikke Friis Dam

Published: 2026-08-17T14:00:00Z

Content type: tutorial

Language: en

Sources: [UX Daily - User Experience Daily](<https://devfeed.tech/sources/ux-daily-user-experience-daily.md>)

Topics: [User Experience](<https://devfeed.tech/topics/user-experience.md>), [Usability](<https://devfeed.tech/topics/usability.md>), [Template](<https://devfeed.tech/topics/template.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [communication](<https://devfeed.tech/tags/communication.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [resource](<https://devfeed.tech/tags/resource.md>), [skills](<https://devfeed.tech/tags/skills.md>), [usability](<https://devfeed.tech/tags/usability.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

Don Norman explains how to communicate complex design ideas clearly and build audience interest. He recommends beginning with practical examples, then introducing the abstractions that connect them, while conveying genuine enthusiasm for the subject.

### Source excerpt

You are an expert! If you want to move up in a company or convince people to support your ideas, you need to communicate your expertise and excitement clearly. Sounds easy, right? The problem is that the more expertise you have, the harder it can be to communicate. In this video, Don Norman shares his ideas for avoiding this problem. One is to start with practical examples that your audience can easily understand, then talk about abstractions that tie those examples together. So, before you talk about the history of art, show some paintings, or start your next talk on usability with a live demo of an app with great usability, or a usability fail! You should also convey your excitement. If yo...

## Advancing AMIE towards expert-level audio-visual clinical consultations

DevFeed: [Advancing AMIE towards expert-level audio-visual clinical consultations](<https://devfeed.tech/articles/advancing-amie-towards-expert-level-audio-visual-clinical-consultations-6746.md>)

Original publisher: [Read original article](<https://research.google/blog/advancing-amie-towards-expert-level-audio-visual-clinical-consultations/>)

Published: 2026-08-11T17:04:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [audio](<https://devfeed.tech/tags/audio.md>), [communication](<https://devfeed.tech/tags/communication.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [partnership](<https://devfeed.tech/tags/partnership.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [research](<https://devfeed.tech/tags/research.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

Google Research describes an advance to AMIE, a medical AI system designed for real-time video consultations. In simulated consultations, AMIE demonstrated expert-level performance in a randomized controlled study while integrating spoken history with visual and auditory clinical cues.

### Source excerpt

Health & Bioscience

## Introducing Automatic Key Verification

DevFeed: [Introducing Automatic Key Verification](<https://devfeed.tech/articles/introducing-automatic-key-verification-1736.md>)

Original publisher: [Read original article](<https://signal.org/blog/automatic-key-verification/>)

Published: 2026-08-11T00:00:00Z

Content type: article

Language: en

Sources: [Signal Blog](<https://devfeed.tech/sources/signal-blog.md>)

Topics: [Cryptography](<https://devfeed.tech/topics/cryptography.md>)

Tags: [communication](<https://devfeed.tech/tags/communication.md>), [cryptography](<https://devfeed.tech/tags/cryptography.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [feature](<https://devfeed.tech/tags/feature.md>), [safety](<https://devfeed.tech/tags/safety.md>)

### AI overview

Signal introduces automatic key verification, a key-transparency-based feature that independently verifies the consistency of a contact's public encryption key alongside existing safety numbers.

### Source excerpt

Signal now offers a feature called "automatic key verification" which complements the existing safety number system. Signal is always end-to-end encrypted, and automatic key verification provides an additional, streamlined way to confirm that there's no unexpected party between you and the other "end" of an end-to-end encrypted session. Read more...

## Clear Writing and Credibility Matter More Amid AI-Generated Text

DevFeed: [Clear Writing and Credibility Matter More Amid AI-Generated Text](<https://devfeed.tech/articles/clear-writing-is-becoming-a-superpower-in-the-ai-era-34927.md>)

Original publisher: [Read original article](<https://newsletter.eng-leadership.com/p/clear-writing-is-becoming-a-superpower>)

Author: Gregor Ojstersek

Published: 2026-07-24T19:09:49Z

Content type: opinion

Language: en

Sources: [Engineering Leadership](<https://devfeed.tech/sources/engineering-leadership.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [communication](<https://devfeed.tech/tags/communication.md>), [writing](<https://devfeed.tech/tags/writing.md>)

### AI overview

The article argues that the rise of AI-generated text increases the importance of clear writing, credibility, and thoughtful communication.

### Source excerpt

There is a flood of AI-generated text. That makes clear writing, credibility, and thoughtful communication matter more than ever.

## AMD Instinct MI455X GPU Detailed for Rack-Scale AI Deployments

DevFeed: [AMD Instinct MI455X GPU Detailed for Rack-Scale AI Deployments](<https://devfeed.tech/articles/amd-s-instinct-mi455x-aiming-for-the-sun-13987.md>)

Original publisher: [Read original article](<https://chipsandcheese.com/p/amds-instinct-mi455x-aiming-for-the>)

Author: George Cozma

Published: 2026-07-23T17:37:10Z

Content type: article

Language: en

Sources: [Chips and Cheese](<https://devfeed.tech/sources/chips-and-cheese.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [networking](<https://devfeed.tech/topics/networking.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Ethernet](<https://devfeed.tech/topics/ethernet.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [tsmc](<https://devfeed.tech/topics/tsmc.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [article](<https://devfeed.tech/tags/article.md>), [capacity](<https://devfeed.tech/tags/capacity.md>), [communication](<https://devfeed.tech/tags/communication.md>), [compute](<https://devfeed.tech/tags/compute.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [memory](<https://devfeed.tech/tags/memory.md>), [networking](<https://devfeed.tech/tags/networking.md>), [performance](<https://devfeed.tech/tags/performance.md>), [processors](<https://devfeed.tech/tags/processors.md>), [scale](<https://devfeed.tech/tags/scale.md>), [soc](<https://devfeed.tech/tags/soc.md>), [tsmc](<https://devfeed.tech/tags/tsmc.md>)

### AI overview

The article examines AMD's Instinct MI455X, a CDNA5 GPU designed for rack-scale AI deployments. It describes the Helios rack-scale system, UALink over Ethernet networking, compute and memory specifications, and changes to the WGP, register-file, and matrix-unit designs.

### Source excerpt

Editor's Note (7/25/2026): The article has been edited with more information about the L2 behavior along with the bandwidth of the die to die interface.

## WebSocket support is now available for Python Functions

DevFeed: [WebSocket support is now available for Python Functions](<https://devfeed.tech/articles/websocket-support-is-now-available-for-python-functions-1198.md>)

Original publisher: [Read original article](<https://vercel.com/changelog/websocket-support-is-now-available-for-python-functions>)

Author: Ricardo Gonzalez

Published: 2026-07-23T00:00:00Z

Content type: release

Language: en

Sources: [Vercel News](<https://devfeed.tech/sources/vercel-news.md>)

Topics: [WebSocket](<https://devfeed.tech/topics/websocket.md>), [Python](<https://devfeed.tech/topics/python.md>), [Vercel](<https://devfeed.tech/topics/vercel.md>), [ASGI](<https://devfeed.tech/topics/asgi.md>), [FastAPI](<https://devfeed.tech/topics/fastapi.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Django](<https://devfeed.tech/topics/django.md>), [Flask](<https://devfeed.tech/topics/flask.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Frameworks](<https://devfeed.tech/topics/frameworks.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [client](<https://devfeed.tech/topics/client.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [applications](<https://devfeed.tech/tags/applications.md>), [code](<https://devfeed.tech/tags/code.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [communication](<https://devfeed.tech/tags/communication.md>), [django](<https://devfeed.tech/tags/django.md>), [examples](<https://devfeed.tech/tags/examples.md>), [features](<https://devfeed.tech/tags/features.md>), [flask](<https://devfeed.tech/tags/flask.md>), [frameworks](<https://devfeed.tech/tags/frameworks.md>), [python](<https://devfeed.tech/tags/python.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [server](<https://devfeed.tech/tags/server.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [vercel](<https://devfeed.tech/tags/vercel.md>)

### AI overview

Vercel has added WebSocket support for Python applications and Functions. The feature supports bidirectional client-server communication for real-time use cases such as interactive AI streaming, chat, and multiplayer collaboration, with compatibility for ASGI and WSGI applications including FastAPI, Django, and Flask.

### Source excerpt

Vercel now supports WebSocket connections for Python applications. WebSockets enable bidirectional communication between client- and server-side code, powering real-time features like interactive AI streaming, real-time chat, and multiplayer live collaboration. Both ASGI and WSGI applications are supported, including frameworks like FastAPI, Django, and Flask. Explore the FastAPI AI Chat and Flask AI Chat examples, or read the WebSockets documentation to get started. Read more

## Setting a World Record for MoE Pre-Training on NVIDIA GB300 NVL72

DevFeed: [Setting a World Record for MoE Pre-Training on NVIDIA GB300 NVL72](<https://devfeed.tech/articles/setting-a-world-record-for-moe-pre-training-on-nvidia-gb300-nvl72-6939.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/setting-a-world-record-for-moe-pre-training-on-nvidia-gb300-nvl72/>)

Author: Kirthi Devleker

Published: 2026-07-21T18:30:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Platform](<https://devfeed.tech/topics/ai-platform.md>), [NCCL](<https://devfeed.tech/topics/nccl.md>), [networking](<https://devfeed.tech/topics/networking.md>), [deepseek](<https://devfeed.tech/topics/deepseek.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-platform](<https://devfeed.tech/tags/ai-platform.md>), [ai-training](<https://devfeed.tech/tags/ai-training.md>), [collective](<https://devfeed.tech/tags/collective.md>), [communication](<https://devfeed.tech/tags/communication.md>), [compute](<https://devfeed.tech/tags/compute.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [deepseek](<https://devfeed.tech/tags/deepseek.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [featured](<https://devfeed.tech/tags/featured.md>), [frontier-model](<https://devfeed.tech/tags/frontier-model.md>), [gb300-nvl72](<https://devfeed.tech/tags/gb300-nvl72.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm-techniques](<https://devfeed.tech/tags/llm-techniques.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [megatron](<https://devfeed.tech/tags/megatron.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [moe](<https://devfeed.tech/tags/moe.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [performance](<https://devfeed.tech/tags/performance.md>), [top-stories](<https://devfeed.tech/tags/top-stories.md>), [train](<https://devfeed.tech/tags/train.md>), [training-ai-models](<https://devfeed.tech/tags/training-ai-models.md>)

### AI overview

The article explains how NVIDIA GB300 NVL72 achieved a world record for DeepSeek-V3 671B mixture-of-experts pre-training. It focuses on the communication demands of MoE models, including all-to-all traffic between GPUs, and the need for tightly coupled scale-up and predictable scale-out networking to sustain delivered training performance.

### Source excerpt

Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token...

## NVIDIA NVLink: The Scale-Up Network for AI Factories

DevFeed: [NVIDIA NVLink: The Scale-Up Network for AI Factories](<https://devfeed.tech/articles/nvidia-nvlink-the-scale-up-network-for-ai-factories-6905.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-nvlink-the-scale-up-network-for-ai-factories/>)

Author: Elizabeth Goodman

Published: 2026-07-20T15:46:28Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [collective](<https://devfeed.tech/tags/collective.md>), [communication](<https://devfeed.tech/tags/communication.md>), [compute](<https://devfeed.tech/tags/compute.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infiniband](<https://devfeed.tech/tags/infiniband.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [production](<https://devfeed.tech/tags/production.md>), [scale](<https://devfeed.tech/tags/scale.md>), [spectrum-ethernet](<https://devfeed.tech/tags/spectrum-ethernet.md>), [spectrum-x](<https://devfeed.tech/tags/spectrum-x.md>), [speed](<https://devfeed.tech/tags/speed.md>), [systems](<https://devfeed.tech/tags/systems.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>)

### AI overview

NVIDIA NVLink is presented as a scale-up networking fabric for AI factories. It provides high-bandwidth, low-latency GPU-to-GPU communication for large AI inference, training, and parallel-computing workloads, with collective-operation acceleration and rack-level resiliency.

### Source excerpt

The demand for AI continues to accelerate. Workloads are getting larger, models are becoming more complex, and there is mounting pressure to deploy AI compute...

## How a status page can show a site at its best (and 10 examples)

DevFeed: [How a status page can show a site at its best (and 10 examples)](<https://devfeed.tech/articles/how-a-status-page-can-show-a-site-at-its-best-and-10-examples-20059.md>)

Original publisher: [Read original article](<https://www.honeybadger.io/blog/status-page-examples/>)

Author: James Konik

Published: 2026-07-15T07:00:00Z

Content type: article

Language: en

Sources: [Honeybadger](<https://devfeed.tech/sources/honeybadger.md>)

Topics: [incident](<https://devfeed.tech/topics/incident.md>), [Tool](<https://devfeed.tech/topics/tool.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [communication](<https://devfeed.tech/tags/communication.md>), [customer](<https://devfeed.tech/tags/customer.md>), [developer-tools](<https://devfeed.tech/tags/developer-tools.md>), [devops](<https://devfeed.tech/tags/devops.md>), [devops-articles](<https://devfeed.tech/tags/devops-articles.md>), [incident](<https://devfeed.tech/tags/incident.md>), [maintenance](<https://devfeed.tech/tags/maintenance.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [services](<https://devfeed.tech/tags/services.md>), [tool](<https://devfeed.tech/tags/tool.md>), [uptime](<https://devfeed.tech/tags/uptime.md>)

### AI overview

This article explains why public status pages help build customer trust, communicate incidents and scheduled maintenance, and demonstrate service reliability. It outlines principles for effective status pages, including clarity and useful metrics, and presents examples before showing how to set one up with Honeybadger.

### Source excerpt

A status page is an essential tool for keeping users updated, but how can you make sure yours is the best possible? In this article you'll see how to make your status page perfect, and how Honeybadger can help you do that.

## A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale

DevFeed: [A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale](<https://devfeed.tech/articles/a-practical-guide-to-gpu-initiated-communication-for-molecular-dynamics-at-scale-6755.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/a-practical-guide-to-gpu-initiated-communication-for-molecular-dynamics-at-scale/>)

Author: Michelle Horton

Published: 2026-07-09T17:15:04Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [cpu](<https://devfeed.tech/topics/cpu.md>)

Tags: [communication](<https://devfeed.tech/tags/communication.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gromacs](<https://devfeed.tech/tags/gromacs.md>), [guide](<https://devfeed.tech/tags/guide.md>), [kernel](<https://devfeed.tech/tags/kernel.md>), [latency](<https://devfeed.tech/tags/latency.md>), [memory](<https://devfeed.tech/tags/memory.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [performance](<https://devfeed.tech/tags/performance.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [scale](<https://devfeed.tech/tags/scale.md>), [simulation-modeling-design](<https://devfeed.tech/tags/simulation-modeling-design.md>)

### AI overview

A practical guide to improving GROMACS molecular-dynamics scaling by replacing CPU-orchestrated MPI handoffs with GPU-initiated communication through NVSHMEM.

### Source excerpt

Molecular dynamics (MD) simulations are among the most demanding workloads in computational science. Using them, researchers can observe atomic behavior in...

## Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72

DevFeed: [Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72](<https://devfeed.tech/articles/running-low-latency-analytical-workloads-with-gpu-accelerated-presto-on-nvidia-gb200-nvl72-6935.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/running-low-latency-analytical-workloads-with-gpu-accelerated-presto-on-nvidia-gb200-nvl72/>)

Author: Tanya Lenz

Published: 2026-07-08T16:05:25Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [GPUDirect](<https://devfeed.tech/topics/gpudirect.md>), [NVIDIA DGX](<https://devfeed.tech/topics/nvidia-dgx.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [parquet](<https://devfeed.tech/topics/parquet.md>), [C++](<https://devfeed.tech/topics/c-plus-plus.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>)

Tags: [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [cache](<https://devfeed.tech/tags/cache.md>), [communication](<https://devfeed.tech/tags/communication.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data](<https://devfeed.tech/tags/data.md>), [data-analytics](<https://devfeed.tech/tags/data-analytics.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gb200](<https://devfeed.tech/tags/gb200.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gpudirect](<https://devfeed.tech/tags/gpudirect.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [multi-gpu](<https://devfeed.tech/tags/multi-gpu.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-dgx](<https://devfeed.tech/tags/nvidia-dgx.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>)

### AI overview

This article presents GPU-accelerated Presto for low-latency analytical SQL workloads on large datasets. It compares single-node multi-GPU execution on NVIDIA DGX B200 and multinode NVIDIA GB200 NVL72 systems with CPU-based Presto, highlighting NVLink communication, GPUDirect Storage, cuDF algorithms, Parquet data, and benchmark results.

### Source excerpt

Presto is an open source, distributed SQL engine for running fast, interactive queries on very large datasets. On NVIDIA GPUs, Presto delivers peak performance...

## Secure internal communication between services (beta)

DevFeed: [Secure internal communication between services (beta)](<https://devfeed.tech/articles/secure-internal-communication-between-services-beta-1086.md>)

Original publisher: [Read original article](<https://vercel.com/changelog/secure-internal-communication-between-services>)

Author: Yury Selivanov

Published: 2026-07-01T19:00:00Z

Content type: release

Language: en

Sources: [Vercel News](<https://devfeed.tech/sources/vercel-news.md>)

Topics: [networking](<https://devfeed.tech/topics/networking.md>)

Tags: [authentication](<https://devfeed.tech/tags/authentication.md>), [backend](<https://devfeed.tech/tags/backend.md>), [communication](<https://devfeed.tech/tags/communication.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [frontend](<https://devfeed.tech/tags/frontend.md>), [next-js](<https://devfeed.tech/tags/next-js.md>), [observability](<https://devfeed.tech/tags/observability.md>), [routing](<https://devfeed.tech/tags/routing.md>), [tls](<https://devfeed.tech/tags/tls.md>), [vercel](<https://devfeed.tech/tags/vercel.md>)

### AI overview

Vercel introduces beta Service Bindings for private service-to-service calls within a deployment. Bindings inject an internal URL and let Vercel handle routing, authentication, and TLS; calls are visible in observability and have separate billing categories.

### Source excerpt

Service Bindings make it easy for one Vercel service to securely call another within the same deployment. When a service declares a binding for another service, Vercel automatically injects the configured environment variable. That means user code can fetch that URL normally, while Vercel handles the internal rewrite, routing, authentication, and TLS behind the scenes. This enables multi-service applications on Vercel, like a Next.js frontend calling a FastAPI backend, while preserving service isolation and keeping routing configuration simple: In the example above, my_frontend will be able to reach the my_backend service by making a fetch() request to BACKEND_INTERNAL_URL. On the FastAPI side, my_backend exposes a normal route: Under the hood That URL points inside Vercel, not at a public address. When your code fetches it, the request travels over Vercel's internal network to the same routing layer that handles every other request to your deployment, which sends it to the target service. It never hits the public route table, and Vercel sets up the TLS trust for you, so a plain HTTPS fetch works with no certificate config. A service is only reachable if you expose it, either publicly with a rewrite route or privately with a binding. Observability Service-to-service calls also appear in observability, so you can see which bound service was called and how long the request took: Pricing Service-to-service calls are billed as Service Requests and Fast Origin Transfer. They are not billed as CDN Requests or Fast Data Transfer. See services pricing and limits for current rates. Learn more Read the bindings documentation to declare bindings and see the full reference. Read more

## How to Explain Tech Stuff to Non-Tech Colleagues

DevFeed: [How to Explain Tech Stuff to Non-Tech Colleagues](<https://devfeed.tech/articles/how-to-explain-tech-stuff-to-non-tech-colleagues-34681.md>)

Original publisher: [Read original article](<https://newsletter.systemdesigncodex.com/p/how-to-explain-tech-stuff-to-non>)

Author: Saurabh Dashora

Published: 2026-07-01T06:00:36Z

Content type: tutorial

Language: en

Sources: [System Design Codex](<https://devfeed.tech/sources/system-design-codex.md>)

Topics: [Programming](<https://devfeed.tech/topics/programming.md>), [Learning](<https://devfeed.tech/topics/learning.md>)

Tags: [communication](<https://devfeed.tech/tags/communication.md>), [developers](<https://devfeed.tech/tags/developers.md>), [explain](<https://devfeed.tech/tags/explain.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [tips](<https://devfeed.tech/tags/tips.md>)

### AI overview

A tutorial on explaining technical ideas and programming concepts to non-technical colleagues. It introduces the Communication Iceberg and recommends analogies, plain language, visual aids, storytelling, big-picture framing, and encouraging questions.

### Source excerpt

Some tips

## Ceph Q2 2026 Newsletter

DevFeed: [Ceph Q2 2026 Newsletter](<https://devfeed.tech/articles/ceph-q2-2026-newsletter-12336.md>)

Original publisher: [Read original article](<https://ceph.io/en/news/blog/2026/q2-ceph-newsletter/>)

Author: Anthony Middleton

Published: 2026-06-25T00:00:00Z

Content type: article

Language: en

Sources: [Ceph Blog](<https://devfeed.tech/sources/ceph-blog.md>)

Topics: [ceph](<https://devfeed.tech/topics/ceph.md>), [releases](<https://devfeed.tech/topics/releases.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [ceph](<https://devfeed.tech/tags/ceph.md>), [ceph-events](<https://devfeed.tech/tags/ceph-events.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [communication](<https://devfeed.tech/tags/communication.md>), [community](<https://devfeed.tech/tags/community.md>), [contribute](<https://devfeed.tech/tags/contribute.md>), [developers](<https://devfeed.tech/tags/developers.md>), [documentation](<https://devfeed.tech/tags/documentation.md>), [ecosystem](<https://devfeed.tech/tags/ecosystem.md>), [en-article](<https://devfeed.tech/tags/en-article.md>), [en-blog-post](<https://devfeed.tech/tags/en-blog-post.md>), [event](<https://devfeed.tech/tags/event.md>), [governance](<https://devfeed.tech/tags/governance.md>), [growth](<https://devfeed.tech/tags/growth.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [newsletter](<https://devfeed.tech/tags/newsletter.md>), [operational](<https://devfeed.tech/tags/operational.md>), [operations](<https://devfeed.tech/tags/operations.md>), [releases](<https://devfeed.tech/tags/releases.md>), [resources](<https://devfeed.tech/tags/resources.md>), [support](<https://devfeed.tech/tags/support.md>)

### AI overview

The Ceph Q2 2026 Newsletter covers governance coordination, community elections, documentation initiatives, contributor resources, regional Ceph Days events, project releases, and ways to contribute. It emphasizes collaboration among users, developers, operators, and organizations across the Ceph ecosystem.

### Source excerpt

During the second quarter, the Ceph Foundation focused on strengthening collaboration across the project, expanding community programs, supporting documentation efforts, and investing in regional events. This edition highlights recent governance discussions, community elections, new contributor resources, Ceph Days events, and opportunities for community members to get involved. If you have an idea for a Ceph-related event, outreach effort, or project, we encourage you to submit a funding request and work with the Foundation to help bring it to life. In This Issue ¶ Board and CSC Alignment on Community Priorities 2026 CSC Election Recap Meet the New Ceph Technical Writer Ceph Days Continue to Grow Latest Ceph Releases Community Committees and New Ways to Contribute Board and CSC Alignment on Community Priorities ¶ The Ceph Governing Board and Community Steering Committee (CSC) met this quarter to discuss the long-term health of the project, governance, documentation, community growth, and Foundation-supported initiatives. The discussion reaffirmed the distinct roles of each organization within the Ceph ecosystem. The CSC continues to provide technical governance for the project, while the Ceph Foundation focuses on community growth, events, outreach, and funding. The Linux Foundation provides operational, legal, and financial support that enables both groups to operate effectively. A significant area of focus was improving coordination between technical priorities and Foundation-supported programs. Current documentation initiatives include improvements to the documentation backport process, development of a new OSD operations guide, clarification of package and container documentation, and the removal of outdated content. The Board and CSC also discussed the future of community events and the importance of establishing clear goals and success metrics for Foundation-funded programs. Both groups reaffirmed their commitment to supporting collaboration between users, de

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