# Announcements Published articles for Announcements. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Introducing Amazon SageMaker HyperPod Inference Gateway DevFeed: [Introducing Amazon SageMaker HyperPod Inference Gateway]() Original publisher: [Read original article]() Author: Vinay Arora Published: 2026-09-18T13:08:34Z Content type: release Language: en Sources: [Artificial Intelligence]() Topics: [Amazon SageMaker HyperPod](), [Model Routing](), [model-serving](), [Inference Performance](), [Amazon Elastic Kubernetes Service](), [Kubernetes](), [AI Inference](), [GPU](), [AI Platform](), [Prometheus]() Tags: [amazon-eks](), [amazon-sagemaker-hyperpod](), [announcements](), [expert-400](), [gpu](), [inference](), [kubernetes](), [latency](), [metrics](), [model-serving](), [performance](), [routing]() ### AI overview Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing add-on for Amazon EKS. It uses real-time GPU signals and model-serving metrics to route inference requests to suitable pods, aiming to reduce GPU waste and first-token latency without application changes. ### Source excerpt Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing add-on for Amazon EKS. It uses real-time GPU signals to send each inference request to the best-suited pod, cutting first-token latency by up to 82% with no changes to your model servers or client applications. ## Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent DevFeed: [Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent]() Original publisher: [Read original article]() Author: Ayesha Borker Published: 2026-09-17T17:55:20Z Content type: release Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Connect](), [Artificial Intelligence](), [data](), [Requirements]() Tags: [ai](), [ai-agents](), [amazon-connect](), [announcements](), [dashboard](), [evaluation](), [hiring](), [interview](), [transcripts]() ### AI overview Amazon launches Amazon Connect Talent, an AI hiring solution for scaled talent acquisition. It supports AI-led interviews, data-driven assessments, consistent evaluation, recruiter-configured criteria, and transparent candidate scoring while keeping recruiters in control of final hiring decisions. ### Source excerpt Amazon Connect Talent is an AI hiring solution built for talent acquisition leaders managing scaled hiring. It delivers AI-led interviews, data-driven assessments, and consistent evaluation, helping recruiters identify strong candidates more efficiently while providing applicants with a flexible interview experience. Informed by decades of Amazon's hiring science, Amazon Connect Talent provides transparency for every assessment, interview, and candidate score, enabling recruiters to stay in control of final hiring decisions. ## Cargo-dyndrv: A new way of building Cargo packages with Nix DevFeed: [Cargo-dyndrv: A new way of building Cargo packages with Nix]() Original publisher: [Read original article]() Author: Ericson2314 Published: 2026-09-16T20:13:36Z Content type: article Language: en Sources: [Announcements - NixOS Discourse]() Topics: [Nix](), [Rust](), [systems]() Tags: [announcements](), [blog-post](), [declarative](), [rust]() ### AI overview The article introduces cargo-dyndrv, a new way to build Cargo projects with Nix. It uses dynamic derivations for per-crate incrementality and Cargo's unit graph to align operations with Cargo, while trading some flexibility for fidelity and forward compatibility. ### Source excerpt Obsidian Systems - 16 Sep 26 cargo-dyndrv: A Beginning Building Rust within Nix has always been somewhat of an annoying problem. Nixpkgs includes tools like buildRustCrate to build a single crate and buildRustPackage to build an entire project with all its dependencies, but both have substantial issues:... We have a new way way of building Cargo projects! As the blog post describes, what distinguishes this from all the other ways of building Cargo project in Nix is this combination of methods: Uses dynamic derivations, so no eval time penalty for per-crate incrementality Uses Cargo's unit graph, so we automatically match to how Cargo performs operations Both cargo-dyndrv itself and this blog post about it are all @artemist's work; I am only the one posting it because she has already left for NixCon (see you all there!) and I haven't left yet, so my internet connection is better. Finally, thank you for Saronic for collaborating with us on this project. 6 posts - 5 participants Read full topic ## ClickHouse is now available on the dbt platform DevFeed: [ClickHouse is now available on the dbt platform]() Original publisher: [Read original article]() Author: Aditya Chidurala; José Muñoz; Alex Francoeur Published: 2026-09-16T19:38:40Z Content type: release Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Cloud](), [Rust](), [Open Source]() Tags: [adapter](), [announcements](), [beta](), [clickhouse](), [cloud](), [dbt](), [open-source](), [platform](), [release](), [rust]() ### AI overview ClickHouse announces a dbt v2 adapter powered by dbt's Rust engine, available in public beta. ClickHouse is also available as a natively supported data warehouse on dbt Platform in private beta, with support for open-source ClickHouse and ClickHouse Cloud. ### Source excerpt The ClickHouse adapter for dbt v2 is in public beta, powered by dbt's Rust engine. ClickHouse also joins the dbt platform in private beta, supporting open-source ClickHouse and ClickHouse Cloud. ## Improving HCLS AI reasoning with open-source agent skills DevFeed: [Improving HCLS AI reasoning with open-source agent skills]() Original publisher: [Read original article]() Author: Michael Hsieh Published: 2026-09-16T19:00:00Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Agent Skills](), [Artificial Intelligence](), [foundation-models](), [Open Source](), [Bioinformatics](), [Medical imaging]() Tags: [agent-skills](), [agents](), [ai](), [ai-agents](), [amazon-bedrock](), [amazon-quick-suite](), [announcements](), [artificial-intelligence](), [foundation-models](), [generative-ai](), [healthcare](), [healthcare-and-life-sciences](), [intermediate-200](), [kiro](), [life-sciences](), [medical-imaging](), [open-source](), [strands-agents]() ### AI overview This post presents 38 open-source agent skills spanning 11 healthcare and life sciences domains. The skills encode domain decision procedures for AI agents, and the reported evaluation found a 70-86% head-to-head win rate over agents without the skills. ### Source excerpt AI agents on foundation models often misapply healthcare and life sciences decision frameworks, citing the right guideline but applying it incorrectly. This post shares 38 open-source agent skills across 11 HCLS domains that close this gap, with installation steps, three worked use cases, and a 410-prompt evaluation showing a 70-86% win rate. ## AWS reimagines the getting started experience DevFeed: [AWS reimagines the getting started experience]() Original publisher: [Read original article]() Author: Micah Walter Published: 2026-09-16T17:50:14Z Content type: release Language: en Sources: [AWS News Blog]() Topics: [Amazon Web Services](), [AWS IAM](), [configuration](), [App]() Tags: [announcements](), [aws](), [aws-management-console](), [configuration](), [developers](), [free](), [getting-started](), [launch](), [news](), [permissions](), [project](), [team]() ### AI overview AWS announces a simplified getting-started experience with sensible defaults, managed project environments, simplified permissions, and $100 in Free Tier credits for most new customers. Customers can later activate advanced AWS features without migrating. ### Source excerpt AWS has reimagined the getting started experience with smart and sensible defaults to help developers get started fast so that they can focus on building. New customers can sign up and get started right away with $100 in Free Tier credits, managed project environments, and simplified team and resource permissions. If their workload evolves, customers can activate advanced features to access the full breadth and depth of AWS in one step, with no migration required. ## Project Harmonia Brings Institutional Tokenized Funds to Solana DevFeed: [Project Harmonia Brings Institutional Tokenized Funds to Solana]() Original publisher: [Read original article]() Author: Solana Foundation Published: 2026-09-16T00:56:00Z Content type: release Language: en Sources: [Solana News Feed]() Topics: [Solana](), [Finance]() Tags: [2026](), [announcements](), [blockchain](), [blockchain-technology](), [crypto-news](), [cryptocurrency](), [decentralized](), [defi](), [distribution](), [finance](), [financial](), [infrastructure](), [institutions](), [nfts](), [podcasts](), [project](), [solana](), [solana-ecosystem](), [token](), [web3]() ### AI overview Project Harmonia opens a request for proposals to connect Allfunds' institutional fund distribution network with tokenized funds on Solana. The program aims to support institutional-scale distribution, with submissions closing October 24, 2026. ### Source excerpt Project Harmonia connects Allfunds, with about EUR 1.9 trillion under administration, to tokenized funds on Solana; submissions close October 24, 2026. ## Announcing instance preference lists for Amazon SageMaker AI training jobs DevFeed: [Announcing instance preference lists for Amazon SageMaker AI training jobs]() Original publisher: [Read original article]() Author: Kanwaljit Khurmi Published: 2026-09-15T16:01:47Z Content type: release Language: en Sources: [Artificial Intelligence]() Topics: [Amazon SageMaker AI](), [GPU](), [Model Development](), [data-processing]() Tags: [amazon-sagemaker-ai](), [announcements](), [gpu](), [intermediate-200](), [model-development](), [pipelines](), [scheduled](), [training]() ### AI overview Amazon SageMaker AI introduces instance preference lists for training and processing jobs. Users can specify up to five instance types in priority order, and SageMaker AI launches the job on the first option with available capacity, reducing manual retries and capacity monitoring. ### Source excerpt Amazon SageMaker AI now offers instance preference lists for training and processing jobs. Specify an ordered list of up to five instance types, and SageMaker AI automatically launches on the first type with available capacity, eliminating manual retry loops and capacity-watching scripts. ## Mintlify rebuilds automations around pre-built templates for common use cases DevFeed: [Mintlify rebuilds automations around pre-built templates for common use cases]() Original publisher: [Read original article]() Author: Patrick Foster Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Automation](), [Documentation](), [changelog](), [Pull Request](), [Markdown](), [YAML]() Tags: [announcements](), [automation](), [changelog](), [docs](), [documentation](), [execution](), [markdown](), [prompt](), [quality](), [rest]() ### AI overview Mintlify rebuilt its automations around pre-built templates for common use cases, including syncing content with code changes, generating changelogs, and improving documentation from user feedback and support signals. Custom prompts remain available for specialized tasks. ### Source excerpt We redesigned automations for quicker setup with pre-built automations optimized for common use cases. Choose the right automations for your project and you're set. No context engineering required. ## Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore DevFeed: [Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Swara Gandhi Published: 2026-09-14T20:35:45Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [OAuth](), [Amazon Web Services](), [AWS CloudTrail](), [GitHub](), [Slack](), [Model Context Protocol](), [ide]() Tags: [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [aws](), [aws-cloudtrail](), [claude-code](), [cursor](), [github](), [intermediate-200](), [kiro](), [model-context-protocol](), [oauth](), [slack](), [visual-studio-code]() ### AI overview This tutorial explains how Amazon Bedrock AgentCore Identity's Consent portal manages end-user OAuth consent and session binding for AI agents. It covers configuring GitHub and Slack targets through an AgentCore Gateway, storing user tokens, supporting IDE and MCP clients, and reviewing activity in AWS CloudTrail. ### Source excerpt Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack 3LO targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail. ## AWS Security Reference Architecture: A deep dive into PCI DSS compliance DevFeed: [AWS Security Reference Architecture: A deep dive into PCI DSS compliance]() Original publisher: [Read original article]() Author: Avik Mukherjee Published: 2026-09-14T17:46:56Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Amazon Web Services](), [Security](), [Architecture & Design](), [Network Segmentation](), [Encryption](), [Logging](), [Access Control](), [Cloud]() Tags: [access-control](), [amazon-web-services](), [announcements](), [architecture](), [compliance](), [encryption](), [foundational-100](), [logging](), [network-segmentation](), [pci-dss](), [security](), [security-blog](), [security-identity-compliance]() ### AI overview AWS announces the AWS Security Reference Architecture (AWS SRA) PCI DSS Deep Dive, a guide that extends the core AWS SRA with prescriptive architecture-level guidance for organizations handling cardholder data on AWS. It explains how AWS SRA patterns address PCI DSS concerns including account scoping, network segmentation, encryption, logging, and access control. ### Source excerpt Amazon Web Services (AWS) is excited to announce the publication of the AWS Security Reference Architecture (AWS SRA) Payment Card Industry (PCI) Data Security Standard (DSS) Deep Dive. This new guide extends the core AWS SRA to provide prescriptive, architecture-level guidance for organizations that store, process, or transmit cardholder data on AWS. Organizations subject to [...] ## OpenSearch Wins Analytics & Data Intelligence Solutions Category in the SiliconANGLE TechForward Awards DevFeed: [OpenSearch Wins Analytics & Data Intelligence Solutions Category in the SiliconANGLE TechForward Awards]() Original publisher: [Read original article]() Author: Kristi Piechnik Published: 2026-09-14T12:00:14Z Content type: news Language: en Sources: [OpenSearch]() Topics: [Open Source](), [AI Infrastructure](), [observability](), [AI search](), [Security](), [Retrieval Augmented Generation (RAG)](), [Databases](), [real-time]() Tags: [2026](), [agentic-ai](), [ai-agents](), [ai-infrastructure](), [announcements](), [awards](), [data](), [enterprise](), [observability](), [open-source](), [opensearch](), [real-time](), [recognition](), [retrieval](), [retrieval-augmented-generation-rag](), [search](), [security]() ### AI overview OpenSearch won the Analytics & Data Intelligence Solutions category in SiliconANGLE Media's 2026 TechForward Awards. The recognition highlights its open source, vendor-neutral platform for enterprise search, observability, security analytics, vector databases, and agentic AI workloads. ### Source excerpt Recognition validates open source momentum, architectural consolidation, and enterprise scale as the project marks five years of community growth The post OpenSearch Wins Analytics & Data Intelligence Solutions Category in the SiliconANGLE TechForward Awards appeared first on OpenSearch. ## Pay only for what you use: introducing no spend minimums to Temporal Cloud DevFeed: [Pay only for what you use: introducing no spend minimums to Temporal Cloud]() Original publisher: [Read original article]() Author: Tlo Lorinc Published: 2026-09-14T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Cloud](), [cloud-infrastructure](), [App]() Tags: [announcements](), [billing](), [cloud](), [developer](), [pricing](), [sso](), [support]() ### AI overview Temporal introduces a Paygo offering for Temporal Cloud with no base monthly fee, usage-based pricing, Developer Support, and SAML SSO included. The article explains pricing, support terms, storage charges, and migration options for existing self-service customers. ### Source excerpt Start building on Temporal Cloud with no base monthly fee, usage-based pricing, and Developer Support that scales with your application. ## Temporal raises $550M at a $12.55B valuation as demand grows for reliable AI infrastructure DevFeed: [Temporal raises $550M at a $12.55B valuation as demand grows for reliable AI infrastructure]() Original publisher: [Read original article]() Author: Allanah Hughes Published: 2026-09-14T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [AI Infrastructure](), [reliability](), [Orchestration](), [AI Platform]() Tags: [agents](), [ai](), [ai-infrastructure](), [announcements](), [funding](), [infrastructure](), [orchestration](), [outage](), [reliability](), [series](), [systems]() ### AI overview Temporal announces a $550 million Series E funding round at a $12.55 billion valuation. The company says the funding will support reliable infrastructure for long-running AI agents and applications, including orchestration and recovery across systems. ### Source excerpt AI is raising the bar for reliability. See why Temporal's $550M Series E, backed by Lightspeed and others, is built to meet that demand. ## Introducing the Affiliates program DevFeed: [Introducing the Affiliates program]() Original publisher: [Read original article]() Author: Aishwari Pahwa Published: 2026-09-11T00:00:00Z Content type: release Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Cloud]() Tags: [account](), [analytics](), [announcements](), [cloud](), [console](), [developers](), [program](), [upgrade]() ### AI overview Appwrite introduces an Affiliates program that lets developers create invite links, track referrals, and earn $15 in Appwrite Cloud organization credits when referred users upgrade to Pro. The program includes 180-day attribution and is managed in the Appwrite account and Console. ### Source excerpt Introducing the Affiliates program, a new way to share Appwrite, track referrals, and earn Cloud credits when people you refer upgrade to Pro. ## Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference DevFeed: [Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference]() Original publisher: [Read original article]() Author: Kareem Syed-Mohammed Published: 2026-09-10T21:58:09Z Content type: release Language: en Sources: [Artificial Intelligence]() Topics: [Large Language Model](), [Low-Latency Inference](), [Caching](), [Inference](), [Inference Performance]() Tags: [advanced-300](), [amazon-sagemaker](), [amazon-sagemaker-ai](), [announcements](), [benchmarks](), [caching](), [inference](), [latency](), [llama](), [llm](), [routing](), [tensorrt-llm](), [vllm]() ### AI overview Amazon SageMaker Inference introduces prefix-aware routing for LLM requests. By consistently sending requests with matching prompt prefixes to the same instance, it improves reuse of cached KV computations and can reduce time to first token. ### Source excerpt Amazon SageMaker Inference now offers prefix-aware routing, a routing strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm. In benchmarks on Llama 3.1 70B, it reduced P50 time-to-first-token by up to 77% and raised KV cache hit rates from about 25% to over 80%. ## Reduce inference cold starts on Amazon SageMaker HyperPod with model caching DevFeed: [Reduce inference cold starts on Amazon SageMaker HyperPod with model caching]() Original publisher: [Read original article]() Author: Kareem Syed-Mohammed Published: 2026-09-10T21:37:49Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Caching](), [Inference](), [model-deployment](), [Large Language Model](), [autoscaling](), [Kubernetes](), [Amazon S3]() Tags: [amazon](), [amazon-s3](), [amazon-sagemaker](), [amazon-sagemaker-hyperpod](), [announcements](), [autoscaling](), [benchmark](), [caching](), [expert-400](), [inference](), [kubernetes](), [llm]() ### AI overview Amazon SageMaker HyperPod model caching preloads model weights and container images onto cluster nodes, reducing inference-pod cold starts by serving assets from local NVMe storage. ### Source excerpt Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read from local NVMe storage instead of downloading over the network. Learn how model caching cuts cold starts from tens of minutes to seconds, how it works, and how to enable it. ## Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0 DevFeed: [Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0]() Original publisher: [Read original article]() Author: Eric Kim Published: 2026-09-10T21:15:39Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [AI search](), [Retrieval Augmented Generation (RAG)](), [Amazon S3](), [AWS IAM]() Tags: [amazon-bedrock](), [amazon-bedrock-knowledge-bases](), [announcements](), [audio](), [embedding](), [how-to](), [images](), [intermediate-200](), [multimodal](), [rag](), [s3](), [search](), [video]() ### AI overview A walkthrough for building an Amazon Bedrock Knowledge Base with TwelveLabs Marengo Embed 3.0 to perform natural-language semantic search across video, images, and audio. ### Source excerpt TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language search to video, image, and audio content. This walkthrough shows how to build a knowledge base powered by Marengo 3.0 and run semantic queries against your media. ## Amazon Quick is now generally available on desktop DevFeed: [Amazon Quick is now generally available on desktop]() Original publisher: [Read original article]() Author: Spencer Martenson Published: 2026-09-10T18:16:37Z Content type: release Language: en Sources: [Artificial Intelligence]() Topics: [App](), [AWS CloudTrail](), [dashboards]() Tags: [agents](), [ai](), [amazon](), [amazon-quick-suite](), [android](), [announcements](), [artificial-intelligence](), [aws](), [aws-cloudtrail](), [compliance](), [dashboards](), [ios](), [macos](), [security](), [shadow-ai](), [windows]() ### AI overview Amazon Quick's desktop application is generally available on macOS and Windows. The article describes its enterprise AI-assistant features, mobile activity feed, shared workspace, AWS-based privacy and auditing, and compliance support. ### Source excerpt Your teams get an AI assistant that handles real work while your data stays in your environment and your conversations stay private Today, the Amazon Quick desktop application is generally available on macOS and Windows. We're also adding a new activity feed to the mobile experience on iOS and Android that consolidates email, calendar, CRM, [...] ## Introducing Pizza Bot, an open source inbox for AI agents that work in the background DevFeed: [Introducing Pizza Bot, an open source inbox for AI agents that work in the background]() Original publisher: [Read original article]() Author: Joseph Dolivo Published: 2026-09-10T16:01:44Z Content type: article Language: en Sources: [AWS Open Source Blog]() Topics: [AI Bots]() Tags: [agents](), [ai](), [ai-agents](), [announcements](), [artificial-intelligence](), [open-source]() ### AI overview Pizza Bot is introduced as a self-hosted, open-source inbox for background AI-agent work. It lets users start, schedule, or trigger tasks by webhook, then surfaces completed work or requests requiring approval. ### Source excerpt Give an agent a task actually worth delegating and you'll be waiting a while. Ask it what needs your attention this morning and it has to read your mail, your messages, and your task list before it can answer. Then it stops halfway, because one step needs your approval. Meanwhile you're watching a chat window [...] ## Automatic image cropping in Appwrite with AutoGravity DevFeed: [Automatic image cropping in Appwrite with AutoGravity]() Original publisher: [Read original article]() Author: Torsten Dittmann Published: 2026-09-10T00:00:00Z Content type: article Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Computer vision](), [Code](), [Go]() Tags: [announcements](), [automatic](), [computer-vision](), [go](), [image](), [object-detection](), [open-source](), [storage](), [web]() ### AI overview Appwrite introduces AutoGravity, an open-source Go service that adds automatic image cropping to Appwrite Storage. It uses a model pipeline to identify a focal point and returns normalized coordinates that Appwrite's existing image transformation pipeline uses for cropping. The article explains that transformed images are cached and identifies U²-Net as the main model behind the feature. ### Source excerpt AutoGravity brings automatic image cropping to Appwrite Storage. Learn how saliency detection and face detection pick the focal point behind gravity=auto. ## Customize Amazon API Gateway destinations for execution logs DevFeed: [Customize Amazon API Gateway destinations for execution logs]() Original publisher: [Read original article]() Author: Giedrius Praspaliauskas Published: 2026-09-09T22:35:42Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [Amazon API Gateway](), [Amazon CloudWatch Logs](), [log management](), [Amazon S3](), [SIEM, Security, Observability]() Tags: [amazon-api-gateway](), [amazon-cloudwatch-logs](), [amazon-s3](), [announcements](), [intermediate-200](), [logs](), [observability](), [rest-api]() ### AI overview This tutorial explains how to route Amazon API Gateway REST API execution logs to CloudWatch Logs, Amazon S3, or Amazon Data Firehose. It contrasts execution logs with access logs and describes their use for diagnosing authorization, validation, integration, mapping, and error-handling behavior. ### Source excerpt Amazon API Gateway execution logs help you trace request processing step by step through your REST API stages. They capture authorization results, integration latency, mapping template output, and error details that are otherwise invisible at the API surface. When a production request fails in a way the access log cannot explain, the execution log is [...] ## ICYMI: What landed for AI builders in August 2026 DevFeed: [ICYMI: What landed for AI builders in August 2026]() Original publisher: [Read original article]() Author: Tanvi Girinath Published: 2026-09-09T20:01:03Z Content type: news Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [Inference](), [Caching](), [SDKs](), [Deployment]() Tags: [agents](), [ai](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [caching](), [deployment](), [govcloud](), [inference](), [intermediate-200](), [latency](), [open](), [robots](), [updates]() ### AI overview A recap of August 2026 Amazon Bedrock, AgentCore, and Strands updates for AI builders, including expanded context windows, inference, long-running agents, GovCloud availability, and robot deployment. ### Source excerpt A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models, cross-Region inference, agents that run for up to 14 days on dedicated compute, expanded AWS GovCloud availability, and Strands Robots for physical deployment. ## Announcing 90-minute function timeout on AWS Lambda Managed Instances DevFeed: [Announcing 90-minute function timeout on AWS Lambda Managed Instances]() Original publisher: [Read original article]() Author: Tarun Rai Madan Published: 2026-09-09T19:08:14Z Content type: release Language: en Sources: [AWS Compute Blog]() Topics: [data-processing](), [Transcodings](), [Amazon EC2]() Tags: [ai-inference](), [announcements](), [aws](), [aws-lambda](), [batch](), [data-processing](), [event](), [event-driven](), [foundational-100](), [serverless]() ### AI overview AWS Lambda Managed Instances now support a 90-minute timeout for asynchronous and event source mapping invocations, increasing the previous 15-minute limit by six times. The update targets longer-running data processing, media transcoding, AI inference, and batch workloads. ### Source excerpt AWS Lambda now supports a 90-minute function timeout for asynchronous and event source mapping (ESM) invocations on Lambda Managed Instances, a 6x increase from the previous 15-minute limit. Data processing, media transcoding, AI inference, and batch workloads can now run on Lambda without re-architecting. [Next page]()