An interactive Ascend-NPU process viewer
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Updated
Oct 9, 2026 - Python
An interactive Ascend-NPU process viewer
A general-purpose real-time streaming media and deep learning inference acceleration framework, supporting H264, H265, AAC, MP4, FLV, RTSP, RTMP, and YOLO.实时流媒体及深度学习推理加速通用处理框架,支持H264、H265、AAC、MP4、FLV、RTSP、RTMP、YOLO。
RAG for visually rich documents — layout, formula and table structure survive the pipeline. Ported from CUDA to Huawei Ascend NPUs and tested on Ascend 910C.
AscendMate · 昇腾部署易用一指禅 —— 面向昇腾智算服务器的环境搭建、模型微调、推理部署、算子开发手册
Ascend Assistant · 昇腾服务器助手 —— Agent Skill,帮助用 AI 操作/查询/排障昇腾智算服务器(环境检测/排障/命令生成/部署引导/性能调优),与 AscendMate 手册深度联动
Ascend NPU fork of nanochat for LLM training with torch_npu/HCCL (experimental)
Disaggregated Prefill-Decode serving engine connecting NVIDIA Blackwell (SM120) and Huawei Ascend 910B2 (CANN) across physical nodes.
Native AscendC Mamba2 selective scan / SSD forward-backward custom operator for Huawei Ascend 910B3 and 950PR, with CANN, torch_npu, A100 benchmarks and msprof profiling.
Qwen3.8-27B on original Ascend 910: custom CANN kernels, six-NPU experiments, measured decode speedups and reproducible build recipes.
Automated GLM interaction detection via CANN, NID scores, and SHAP interaction values for insurance pricing.
Cholesky decomposition reference implementation on Ascend NPU
Out-of-tree HCCL Task DAG and P2P traffic capture studio
A repository to store neural network test code.
Predicting California house prices with MindSpore
Ascend C 算子优化实践:技术文章、可运行示例与实验对照。
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