Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jit_kernel module
원문 언어: 영어
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Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jit_kernel module
원문 언어: 영어
Add a new model to the SGLang Cookbook (docs/, Mintlify), config-driven format — instantiate the model-agnostic template into a per-model config (+ benchmarks) JSX under src/snippets/configs/, an MDX page, the docs.json nav entry, NEW-tag hygiene, and the…
원문 언어: 영어
Unified LLM torch-profiler triage skill for `sglang`, `vllm`, `TensorRT-LLM`, and `TokenSpeed`. Use it to inspect an existing `trace.json(.gz)` or profile directory, or to drive live profiling against a running server when supported and return one three-table…
원문 언어: 영어
How SGLang's runtime configuration and process-global state are organized (RuntimeContext tiers, publish + namespace config bags, the pristine ServerArgs seed, override entry points, resource/stream/buffer leases, per-forward flags), the CI guardrails that…
원문 언어: 영어
Use when adding a new diffusion model or Diffusers pipeline to SGLang.
원문 언어: 영어
Use when benchmarking denoise latency or profiling a diffusion bottleneck in SGLang.
원문 언어: 영어
Use when quantizing a diffusion DiT with NVIDIA ModelOpt and making the resulting FP8 or NVFP4 checkpoint loadable, verifiable, and benchmarkable in SGLang Diffusion.
원문 언어: 영어
Use when choosing the fastest SGLang Diffusion flags for a model, GPU, and VRAM budget.
원문 언어: 영어