# deepseek-ai/DeepEP-Ascend

> A high-performance communication library for ML training and inference on Huawei Ascend NPUs: expert-parallel all-to-all for MoE dispatch/combine, plus PP, CP/DP and Engram. Public buffer APIs are aligned with NVIDIA DeepEP.

- Magnitude: 1.1 out of 10 — Quiet
- Stars: 118 total · +0 stars today, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: DevOps & infrastructure · Language: C++ · Created: 2026-09-30 · Last push: 2026-09-30
- GitHub: https://github.com/deepseek-ai/DeepEP-Ascend · Page: https://gitnova.dev/en/r/deepseek-ai/DeepEP-Ascend

## Useful for

- Run MoE training with expert-parallel dispatch/combine on an Ascend NPU cluster
- Speed up MoE inference with FP8 dispatch and deferred epilogues
- Port code from NVIDIA DeepEP to Ascend without changing the buffer API

## Why it’s here

- The repository is 0 days old and already has 118 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #118.
- About 28 forks a day — people are taking the code.
- Recent forks include notable developers: @gmh5225 (1,277 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 6
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 16

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-09-27 … 2026-09-30: 0, 0, 121, 0

## Spotted in now

- Top new repositories this week: #118

## Similar by description

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   A hardware plugin for vLLM that runs LLM inference on Ascend NPUs (Atlas A2/A3). It enables deployment of Transformer, MoE, embedding and multimodal models on Huawei Ascend hardware.
   Full card: https://gitnova.dev/en/r/vllm-project/vllm-ascend.md
2. **deepseek-ai/DeepGEMM-Ascend** — 5.7 · Early signal · Language models · C++ · +0 stars today, ≈ 94 by evening
   A port of DeepGEMM to Huawei Ascend: GEMM kernels (BF16, FP8, FP4, MQA logits, MegaMoE) with an API compatible with DeepGEMM, targeting peak NPU performance.
   Full card: https://gitnova.dev/en/r/deepseek-ai/DeepGEMM-Ascend.md
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   Cross-platform accelerator for ML inference and training. Runs models from PyTorch, TensorFlow, scikit-learn and others via the ONNX format with graph optimizations and hardware acceleration.
   Full card: https://gitnova.dev/en/r/microsoft/onnxruntime.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-30 06:54 UTC, updated every 30 minutes.