技术档案

AI 加速器AI accelerator

训练运行AI的专用芯片

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 加速器是用于训练和运行 AI 模型的专用芯片。7
AI accelerators are specialised chips used to train and run AI models.
在AI开发和训练等繁重工作负载中，AI加速器和AI芯片提供更适合扩展和生态优化的专门优化。3
For heavy AI workloads, such as the kind associated with AI development and AI training, AI hardware like AI accelerators and AI chips offers certain optimizations better suited for scalability and ecosystem optimization.
GPU原为图形渲染设计，其并行处理也适于AI推理和训练。3
GPUs: Originally designed for rendering graphics, graphics processing units (GPUs) use parallel processing that is also well suited for AI tasks like inference and training.

AMD称Meta已运行Helios机柜，EPYC处理器支持Muse。4
AMD said that its Helios racks were running at Meta and its EPYC processors were powering Meta's Muse.
CoreWeave Cloud已部署Vera Rubin NVL72系统用于生产AI工作负载。5
NVIDIA Vera Rubin NVL72 systems deployed on CoreWeave Cloud for production AI workloads.
Google的Gemini、Veo、Imagen及Anthropic的Claude已用TPU训练和提供模型服务。6
Today’s frontier models, including Google’s Gemini, Veo, Imagen, and Anthropic’s Claude train and serve o n Tensor Processing Units (TPUs).

AMD的数据中心产品包括EPYC处理器和Instinct MI450系列GPU。1
Data Center segment revenue was a record $8.5 billion, up 97% year-over-year, driven by strong demand for AMD EPYC™ processors and the launch of AMD Instinct™ MI450 Series GPUs.
AMD与Meta约定部署最多6吉瓦的AMD Instinct GPU。2
AMD and Meta agree to a definitive multi-year, multi-generation partnership to deploy up to 6 gigawatts of AMD Instinct™ GPUs
TPU是Google设计的专有AI加速器，用于处理AI应用常见的张量数学运算。3
TPUs are a proprietary type of AI accelerator designed by Google to handle tensor math operations common to AI applications.