技术档案
AI算力基础设施AI compute infrastructure
训练推理所用计算系统
每条都摘自下方编号的来源原文；只写事实，不写预测或建议。
技术简介
- AI平台的性能取决于计算、网络、内存、电力、冷却和软件能否协同运行。1
The performance of an AI platform now depends on how effectively compute, networking, memory, power, cooling and software operate together.
已有应用
- AMD Helios把Instinct GPU、EPYC处理器、Pensando网络和ROCm软件集成为机柜级平台。1
Helios integrates AMD Instinct™ GPUs, EPYC processors, AMD Pensando™ networking and ROCm™ software into a fully engineered rack-scale platform designed for the performance, power efficiency and serviceability required at gigawatt scale.
- Meta已在WhatsApp私密处理功能中采用英伟达机密计算。2
Meta has adopted NVIDIA Confidential Computing for WhatsApp private processing, enabling AI-powered capabilities across the messaging platform while ensuring user data confidentiality and integrity.
为何此时
- Meta在2026年7月表示，训练、推理、推荐排序及新AI体验带来的基础设施需求正快速增长。1
At Meta, demand for AI infrastructure is growing rapidly across training, inference, recommendation and ranking, content, and new AI experiences serving billions of people.
主要参与者
- Meta已在其基础设施中部署数百万颗AMD EPYC CPU。1
Meta has deployed millions of EPYC CPUs across its infrastructure and is working closely with AMD as a lead customer for “Venice,” which is expected to deliver more cores, greater performance, improved efficiency and customization in areas especially important to Meta’s workloads.