ML Inference Lacks Generalized Low-Latency GEMM Kernels with Broad Precision Support
Current low-latency GPU GEMM kernels for ML inference only support specific shapes and bf16 precision. Engineers need generalized versions supporting fp8, nvfp4, and arbitrary shapes for flexible model deployment with PDL after auto-regressive decoding.
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.