# DevInfra

Published articles for DevInfra.

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## 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.

## 10 Years of Meta's Commitment to Python

DevFeed: [10 Years of Meta's Commitment to Python](<https://devfeed.tech/articles/10-years-of-meta-s-commitment-to-python-22582.md>)

Original publisher: [Read original article](<https://engineering.fb.com/2026/06/30/open-source/10-years-of-metas-commitment-to-python/>)

Author: Chris Wiltz

Published: 2026-06-30T16:00:46Z

Content type: opinion

Language: en

Sources: [Meta AI Research](<https://devfeed.tech/sources/meta-ai-research.md>), [Meta ML Applications](<https://devfeed.tech/sources/meta-ml-applications.md>)

Topics: [Meta](<https://devfeed.tech/topics/meta.md>), [Python](<https://devfeed.tech/topics/python.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Programming language](<https://devfeed.tech/topics/programming-language.md>), [Software](<https://devfeed.tech/topics/software.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>)

Tags: [ai-research](<https://devfeed.tech/tags/ai-research.md>), [culture](<https://devfeed.tech/tags/culture.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [devinfra](<https://devfeed.tech/tags/devinfra.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [meta](<https://devfeed.tech/tags/meta.md>), [ml-applications](<https://devfeed.tech/tags/ml-applications.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [production-engineering](<https://devfeed.tech/tags/production-engineering.md>), [programming](<https://devfeed.tech/tags/programming.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [software](<https://devfeed.tech/tags/software.md>)

### AI overview

Meta reflects on its 10th consecutive year sponsoring the Python Software Foundation and explains Python's importance across its engineering stack, including products, infrastructure, and AI research.

### Source excerpt

This year marks Meta's 10th consecutive year as a sponsor of the Python Software Foundation (PSF), the charitable organization dedicated to advancing, supporting, and protecting the open-source Python programming language and the community that sustains it. Python is one of the world's most influential programming languages, and we use it across our engineering stack, from [...] Read More... The post 10 Years of Meta's Commitment to Python appeared first on Engineering at Meta.

## Meta's Infrastructure Evolution and the Advent of AI

DevFeed: [Meta's Infrastructure Evolution and the Advent of AI](<https://devfeed.tech/articles/meta-s-infrastructure-evolution-and-the-advent-of-ai-30489.md>)

Original publisher: [Read original article](<https://engineering.fb.com/2025/09/29/data-infrastructure/metas-infrastructure-evolution-and-the-advent-of-ai/>)

Author: Yee Jiun Song; Kaushik Veeraraghavan

Published: 2025-09-29T13:00:15Z

Content type: article

Language: en

Sources: [Meta AI Research](<https://devfeed.tech/sources/meta-ai-research.md>)

Topics: [Meta](<https://devfeed.tech/topics/meta.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Network](<https://devfeed.tech/topics/network.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [Terraform](<https://devfeed.tech/topics/terraform.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-research](<https://devfeed.tech/tags/ai-research.md>), [apache](<https://devfeed.tech/tags/apache.md>), [data-center-engineering](<https://devfeed.tech/tags/data-center-engineering.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [data-management](<https://devfeed.tech/tags/data-management.md>), [database](<https://devfeed.tech/tags/database.md>), [devinfra](<https://devfeed.tech/tags/devinfra.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [lamp](<https://devfeed.tech/tags/lamp.md>), [linux](<https://devfeed.tech/tags/linux.md>), [meta](<https://devfeed.tech/tags/meta.md>), [ml-applications](<https://devfeed.tech/tags/ml-applications.md>), [mysql](<https://devfeed.tech/tags/mysql.md>), [network](<https://devfeed.tech/tags/network.md>), [networking-traffic](<https://devfeed.tech/tags/networking-traffic.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [production-engineering](<https://devfeed.tech/tags/production-engineering.md>), [scale](<https://devfeed.tech/tags/scale.md>)

### AI overview

Meta describes how its infrastructure evolved from a small university-focused social network into a globally networked operation serving more than 3.4 billion people. The article explains that AI has changed infrastructure-scaling assumptions and requires innovation across hardware, software, networks, and data centers, while outlining earlier database, caching, social graph, ranking, and photo-service scaling work.

### Source excerpt

Over the past 21 years, Meta has grown exponentially from a small social network connecting a few thousand people in a handful of universities in the U.S. into several apps and novel hardware products that serve over 3.4 billion people throughout the world. Our infrastructure has evolved significantly over the years, growing from a [...] Read More... The post Meta's Infrastructure Evolution and the Advent of AI appeared first on Engineering at Meta.