h100-sglang-diffusion

Automate diffusion smoke tests and kernel validation on the H100 SGLang remote environment.

721|65|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill h100-sglang-diffusion
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: h100-sglang-diffusion
Source: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/tree/main/skills/h100-sglang-diffusion
Command: npx skills add https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS --skill h100-sglang-diffusion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SSH into the H100 remote environment to perform diffusion development and validation for SGLang, enabling safe, repeatable experiments without local hardware constraints.

Core Features & Use Cases

  • Secure remote workflow: access a prepared H100 environment with sglang_bbuf container and the repository at /data/bbuf/repos/sglang.
  • Diffusion validation focus: run diffusion-specific smoke tests, Triton/CUDA kernel checks, and torch.compile diffusion experiments.
  • Reproducibility and safety: standardized steps, environment handling, and isolation workflows to protect local worktrees and secrets.

Quick Start

Connect to the h100_sglang host, enter the sglang_bbuf container, and begin a diffusion validation session.

Frequently Asked Questions about h100-sglang-diffusion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run diffusion smoke tests on an H100 remote environment?

Run diffusion smoke tests on an H100 by connecting to the remote host, entering the sglang_bbuf container, and executing standardized validation steps within the prepared environment. This workflow ensures safe and repeatable experiments.

Can I validate Triton and CUDA kernels for diffusion models remotely?

Validate Triton and CUDA kernels remotely by accessing the H100 SGLang setup. The workflow automates kernel checks within the sglang_bbuf container, ensuring consistent results without local hardware constraints.

How do I execute torch.compile diffusion experiments on SGLang?

Execute torch.compile diffusion experiments on SGLang by connecting to the h100_sglang host and navigating to the repository at /data/bbuf/repos/sglang. The container context ensures proper environment variable handling.

Do I need local H100 hardware to validate SGLang diffusion development?

Local H100 hardware is not required. SSH into the prepared remote H100 environment to perform diffusion development and validation, enabling safe experiments without local hardware constraints.

What is the best way to secure environment variables during remote GPU validation?

Secure environment variables during remote GPU validation by using standardized isolation workflows within the sglang_bbuf container. This approach protects local worktrees and secrets while ensuring repeatable steps.