March 2026 monthly summary for performance review: {} Key deliverables across repos: - flashinfer-ai/flashinfer: Implemented fused MOE and GEMM AOT modules for SM121, expanding AOT pre-compilation support for DGX Spark / GB10 systems and reducing fallback to JIT. Commit details show new module generators and careful dedup logic to cover SM120/SM121 paths. - pytorch-labs/helion: Enhanced hl.tile to unwrap single-element lists for multi-dimensional tensor indexing, aligning with scalar behavior. Added accompanying tests to ensure usability and correctness. - ROCm/flash-attention: Consolidated SM120 improvements including forward and backward pass support, variable-length attention, and dispatch signature unification. Added robust validation across D, B, and sequence lengths; included tests, and addressed SM12x gating for broader hardware coverage. Major bug fixes: - ROCm/flash-attention: FMHA module adjustments removed SM12x support due to missing required instructions and fixed the fmha_v2_prefill_deepseek SM121a check, enabling DGX Spark users on SM12x to use the fmha_v2 prefill kernel and reducing build-time failures. Overall impact and business value: - Faster time-to-value for DGX Spark workloads due to improved AOT kernel coverage and reduced runtime JIT needs; better hardware coverage and fewer build-time failures; improved usability for tensor tiling across multi-dimensional inputs; and stronger, validated FlashAttention pathways across SM12x family. Technologies and skills demonstrated: - AOT kernel generation and integration (FlashInfer), CUTLASS kernel gating, SM12x/SM121a/SM120 architectures; forward/backward FlashAttention paths and varlen support; multi-dimensional tensor tiling and test-driven development; cross-repo collaboration and code quality improvements.

February 2026 monthly summary focusing on hardware compatibility, performance improvements, and reliability across kvcache-ai/sglang and flashinfer-ai/flashinfer. Implemented SM12x-wide GPU support, streamlined SM12x detection, improved CUDA 13 runtime handling and multi-version library loading, and fixed SM12x-specific issues. Delivered business value through broader hardware support, smoother upgrade paths, and robust validation on DGX Spark.