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Tom’s Hardware
Tom’s Hardware
Technology
Anton Shilov

Positron AI says its Atlas accelerator beats Nvidia H200 on inference in just 33% of the power — delivers 280 tokens per second per user with Llama 3.1 8B in 2000W envelope

Positron AI.

To address concerns about power consumption of systems used for AI inference, hyperscale cloud service provider (CSP) Cloudflare is testing various AI accelerators that are not AI GPUs from AMD or Nvidia, reports the Wall Street Journal. Recently, the company began to test drive Positron AI's Atlas solution that promises to beat Nvidia's H200 at just 33% of its power consumption.

Positron is a U.S.-based company founded in 2023 that develops AI accelerators focused exclusively on inference. Unlike general-purpose GPUs that are designed for AI training, AI inference, technical computing, and a wide range of other workloads, Positron's hardware is built from scratch to perform inference tasks efficiently and with minimal power consumption. Position AI's first-generation solution for large-scale transformer models is called Atlas. It packs eight Archer accelerators and is designed to beat Nvidia's Hopper-based systems while consuming a fraction of power.

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