How fast is AMD Instinct MI350X for ML?

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AMD Instinct MI350X hits 1,800 TFLOPS of FP16 compute with 8,000 GB/s of memory bandwidth and 288 GB of VRAM. FP32 peaks at 72 TFLOPS.

Those figures place AMD Instinct MI350X in a useful performance band for generative AI work: strong enough to pre-training mid-to-large models in reasonable time, with enough bandwidth to keep real-time serving latency low. Actual tokens-per-second or images-per-second varies 2x depending on framework, quantisation, and model size — always benchmark with the exact stack you plan to ship.

See the AMD Instinct MI350X page for the full spec sheet and current provider list.