Wafer benchmarks GLM-5.2 on AMD MI355X
Wafer has successfully run the GLM-5.2 model on AMD Instinct MI355X hardware, achieving an impressive throughput of 2,626 tokens per second per node under a 2.4 requests per second workload with a 20k input and 1k output configuration. The achievement highlights a shifting narrative in the AI chip market, indicating that the software and support gap for AMD's ROCm ecosystem is closing quickly when new frontier models are released.
Running frontier models efficiently on non-Nvidia hardware is the next phase of the GPU wars, shifting the focus from theoretical peak FLOPS to real-world software readiness. AMD's Instinct MI355X showing strong day-one-style support for GLM-5.2 proves that the CUDA monopoly is slowly eroding as compiler and library ecosystems mature.
* High throughput: 2,626 tok/s/node on a 20k/1k workload shows the hardware and software are ready for demanding long-context production environments.
* Software maturity: The speed at which Wafer deployed GLM-5.2 suggests software stacks like ROCm and vLLM/sglang are no longer major bottlenecks for new architectures.
* Ecosystem shift: As alternative hardware closes the support delay, buyers will focus more on cost-per-token and raw memory bandwidth where AMD holds a strong position.
DISCOVERED
1d ago
2026-07-04
PUBLISHED
1d ago
2026-07-04
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