FLUX CONTENT DESK

资讯与观察· 平台工程

AI 行业动态、工程实践、产品方法和社区故事。

架构

Open-Sourcing Rebalancer: A Generic, High-Performance Library for Solving Assignment Problems

We’re open-sourcing Rebalancer, the assignment-problem solver that has been used to solve resource allocation problems throughout Meta for over nine years. Rebalancer separates several related concerns: how to specify a…

Meta Engineering9/2130 分钟阅读站内导读

LATEST STORIES

最新内容

8
架构
Meta Engineering

An Organizational Second Brain: Building an AI That Learns From Experts精选导读

We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and build upon. This is not a …

30 分钟48#平台工程#AI Research#ML Applications
架构
Meta Engineering

MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet精选导读

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, Meta designed MetaRoCE – a clean-sheet RDMA transpo…

26 分钟48#平台工程#Data Center Engineering#Data Infrastructure
架构
Meta Engineering

MTIA 300: Meta’s First Training Chip with Built-in NICs and Communication-Offloading Engines精选导读

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 co…

19 分钟48#平台工程#Data Infrastructure#DevInfra
架构
Meta Engineering

How We’re Building Scam Alert on WhatsApp With End-to-End Encryption and Verifiability Guarantees精选导读

WhatsApp is committed to helping people stay safe while protecting the privacy of their messages. As scam tactics evolve — from impersonation to social engineering to AI-generated lures — we’re always evolving as well, …

30 分钟48#平台工程#Security & Privacy#WhatsApp
架构
Meta Engineering

From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking精选导读

Every day, Meta’s recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content. In our 2024 post on seq…

27 分钟48#平台工程#Data Infrastructure#ML Applications