AMD and Cerebras partner on low-latency, high-throughput AI inference — EPYC processors in Helios rack-scale infrastructure paired with Cerebras’ Wafer-Scale En

AMD and Cerebras partner on low-latency, high-throughput AI inference — EPYC processors in Helios rack-scale infrastructure paired with Cerebras' Wafer-Scale En

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AMD and Cerebras expect the new inter-rack-scale platform — based on AMD Helios rack with EPYC CPUs and Instinct MI400-series accelerators inside — to be responsible for prompt processing and large context windows, whereas Cerebras' WSE will take care of the memory-bandwidth-intensive token-generation stage.

AMD and Cerebras expect their disaggregated inference platform to deliver up to 5X higher tokens per second per watt (T/s/W) by assigning different portions of an inference workload to architectures optimized for them. Therefore, AMD Helios provides rack-scale compute capacity and large volumes of complex requests, whereas the Cerebras WSE handles latency-sensitive token generation. The two compute platforms will operate within a single inference workflow, although the companies have not disclosed additional performance data or explained how the systems will be interconnected.

The underlying idea of the AMD + Cerebras platform is essentially the same as Nvidia's CPX concept, but AMD and Cerebras assign the specialized hardware to the opposite inference stage.

Nvidia's disaggregated design separates inference into context/prefill and generation/decode. The cancelled Rubin CPX GPU with GDDR7 was optimized specifically for the compute-heavy context/prefill stage, while the regular HBM-equipped Rubin GPUs handle the memory-bandwidth-bound generation stage.

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