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Audit SGLang interfaces and refresh validated kernel solutions (#2)
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Recorded B300 comparisons

Ratios are paired geometric-mean speedups in the recorded standalone CUDA Graph scope. Prepared launch is used where available; eager timings remain in the raw results. These are not end-to-end serving speedups or proofs of global optimality.

Comparison Paired workloads Speedup
B300 GEMM large-M native-linear dispatch versus DeepGEMM-only 31 0.44×
Audio final versus original FP16-conversion solution 108 4.03×
Current fused router versus original CUTLASS/torch solution 50 5.00×
Cached-prefix FA4 versus serving implementation adapter 28 3.81×
QSA index final versus original on its declared TileLang 0.1.15 10 2.28×
Native paged sparse GQA versus FA4 sparse gather 10 1.90×
FlashMLA CUDA 13.3 versus CUDA 13.1 compiler build 10 1.01×
FlashMLA CUDA 13.3 versus CUDA 13.1 compiler build 20 1.01×
FlashMLA CUDA 13.3 versus CUDA 13.1 compiler build 42 1.03×

The old QSA implementation is measured with its declared TileLang 0.1.15, rather than the incompatible 0.1.12 experiment. Current SGLang-based solutions use 0.1.12. See summary.json for ranges, source run identifiers and coverage; results.jsonl retains separate eager and prepared timings.