B300 single node / B300 单节点

Open
#135 4 comments 0 reactions 1 assignee View on GitHub

@kedarpotdar-nv is already working on this.

Since Oct 22, 2025.

Assessment

This issue has not been assessed yet.

Description

NVIDIA p1

In order to provide a baseline for B300 performance, add single node for GPT OSS and DeepSeek R1.

This will require:

  • Adding single node path to runners/launch_b300-nv.sh
  • Adding configs to nvidia-master.yaml
  • Adding appropriate benchmarks/ scenarios (FP4, FP8, MTP, etc) for GPT OSS and DeepSeek, vLLM, SGLang and TRT (for both)

中文说明

MI300X vLLM DeepSeek-R1 有 FP8 的 MTP 基准测试。

Dominant language
Python
Stars
1.7k
Forks
303
Avg merge
1d 13h
Merged PRs (30d)
284

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from SemiAnalysisAI/InferenceX

All issues in SemiAnalysisAI/InferenceX

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.