Month: 2025-08 — Summary of key outcomes, features, fixes, and impact for yhyang201/sglang. Key features delivered: - H20 fused MoE kernel support for Dpsk and Qwen3 models, enabling hardware-accelerated fused MoE kernels on H20 hardware. - Commit reference: 83feef5b2c32b6899cb7deb440803897e01a1fd5 (Add H20 fused MoE kernel configs for Dpsk & Qwen3 (#7631)). Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Improved inference speed and compute efficiency for Dpsk and Qwen3 on H20 hardware by enabling fused MoE kernels, contributing to higher model throughput and potential cost savings. - Prepared the codepath for deployment and optimization on H20 devices; aligned with performance goals and hardware-specific tuning. Technologies/skills demonstrated: - MoE kernel optimization and hardware acceleration, Dpsk and Qwen3 model support, H20 hardware integration, kernel/config management, and repository contribution workflow. Business value: - Higher throughput, lower latency inference on H20-enabled deployments, enabling scalable model serving and better cost efficiency.

April 2025: Performance-focused kernel tuning configurations for H20 fused MoE models on DeepSeek V3/R1 hardware across two repositories. Delivered configuration-level optimizations to improve efficiency and hardware utilization without code changes. No major bug fixes were reported this month; emphasis was on enabling scalable, efficient MoE inference and maintaining consistent tuning practices across repos.

March 2025 monthly summary for Furion-cn/sglang: Delivered comprehensive DeepSeek optimization ablations documentation and tuning guide. The work provides detailed coverage of optimization techniques, configurations, performance benchmarks across multiple scenarios, and practical guidance on leveraging and tuning these optimizations for DeepSeek models. The documentation supports faster experimentation, better onboarding, and repeatable performance assessments.