Capacity-aware single-GPU SGLang benchmarks with MTP A/B, core/extended context matrices, raw telemetry, model/KV memory capture, and generated Markdown/PDF reports.
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Updated
Aug 1, 2026 - Python
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sm80
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Evidence-led vLLM tuning and qualification notes for NVIDIA CMP 170HX (sm80)
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Aug 10, 2026
Strict-FP32 CUDA SGEMM with shape-dispatched SM80 cp.async kernels and reproducible A100 evidence
performance-engineering cpp cuda matrix-multiplication high-performance-computing blas cuda-kernels gpu-computing sgemm a100 fp32 sm80
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Aug 21, 2026 - Python
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