GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell
This article discusses the cost-effectiveness of using AMD MI355X GPUs for serving large language models like GLM5.2 compared to NVIDIA's Blackwell series. It highlights that while NVIDIA maintains a software advantage, engineering optimizations are closing the performance gap for AMD hardware.
Why it matters
Lowering the cost of AI inference is critical for the scalability of AI services as demand for compute resources continues to outpace supply.
How we served GLM5.2 on AMD MI355X at 2626 tok/s/node and 213 tok/s single stream at over 2x lower cost than Blackwell.
The article presents a business case for hardware alternatives while acknowledging the current market dominance of NVIDIA.
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