Monthly work summary for 2025-12 focusing on key accomplishments, with emphasis on business value and technology delivered. Scope: kvcache-ai/sglang. Key features delivered: - AMD Nightly Test Suite Enhancements and Performance Benchmarks: Expanded the AMD nightly testing infrastructure to include Qwen3-30B-A3B-Thinking-2507 with configured evaluation; added TP=8 model support and stabilized TP=2 tests; introduced new job configurations for various model groups to improve robustness across hardware; implemented improvements in nightly test scripts and CI workflow. Major bugs fixed: - Stabilized TP=2 tests within the AMD nightly suite, reducing flakiness and enabling more reliable cross-hardware testing. Improved robustness of the testing pipeline across different hardware configurations. Overall impact and accomplishments: - Broadened test coverage and reliability across AMD hardware, enabling earlier detection of regressions and more accurate performance signals for model groups. This drives higher confidence for production deployments and informs optimization priorities. - The introduced performance benchmarks and CI workflow enhancements lay groundwork for continuous, scalable evaluation of new models and VLMs in the AMD ecosystem. Technologies/skills demonstrated: - AMD nightly testing infrastructure, model evaluation configuration, performance benchmarking, CI/CD workflow modifications, test script development, cross-hardware reliability engineering. Delivered commits: - c97ce3918140f805743d30988e3e5abe8fc835c1: [AMD] Add model to AMD nightly test (#14442) - 2ee6c810b8cd3199dc25e52d48266464ca83131a: [AMD] Add TP=8 models to nightly test and make TP=2 test stable (#15296) - e7b09efc0a40d04951c025cb9230fc171a738fff: [AMD] Add AMD Nightly Performance & VLMs Accuracy Tests (#15500)

November 2025 (kvcache-ai/sglang): Expanded AMD CI coverage by introducing a disaggregation performance test, strengthening performance visibility and regression safety in the AMD pipeline.

In August 2025, focused on strengthening the stability and reliability of the AMD CI workflow for JustinTong0323/sglang. Delivered dynamic SGLang versioning and a robust image fallback in the AMD CI script, along with a bug fix to correctly capture the Docker image result to prevent CI failures when no image is available. These improvements reduce Docker-image churn, lower CI flakiness, and enable faster, more predictable feedback loops for releases. The work supports more reliable builds and smoother handoffs from CI to downstream stages.

July 2025 monthly summary for JustinTong0323/sglang focused on enhancing the AMD CI workflow with dynamic Docker image selection based on GPU architecture, plus robust image resolution and CLI-based configurability. Implemented a mechanism to pull the latest suitable Docker image for mi30x/mi35x architectures, with a search function to identify the most recent image from the last 30 days and built fallback paths to maintain CI reliability. This reduces startup time, improves reliability, and provides operators with flexible base tag options.

April 2025 focused on expanding cross-platform GPU support and stabilizing critical paths in the sglang project. Delivered AMD HIP RMSNorm capability and improved kernel dispatch with robust fallback logic, alongside targeted bug fixes to stabilize forward passes.