An interactive Ascend-NPU process viewer
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Updated
Oct 10, 2026 - Python
An interactive Ascend-NPU process viewer
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.
MiniMax-H3 昇腾 NPU 本地部署(910B/910C 真机实测):一键脚本 + 40MB/s 分片下载 + 性能实测数据 + 17 条踩坑记录 | MiniMax-H3 local deployment on Ascend NPU, tested on 910B
Deploy DeepSeek-V4.1 (dsv4.1) on Ascend 910B / 910B3 (NPU): a hardware-specialized LLM inference engine with W4A8, DSpark speculative decoding, 128K+ context and 8,700+ tok/s prefill. Also supports NVIDIA A100/A800. 昇腾910B 部署 DeepSeek-V4.1-Flash。
昇腾 NPU 训练与推理故障诊断知识库:按症状命中 case、用先验知识与源码分析定位根因,定位后进待审队列、每周升格回库。
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.
Ascend NPU fork of nanochat for LLM training with torch_npu/HCCL (experimental)
昇腾 Atlas 310B + YOLOv8n 果园果实检测模型工程化:端到端 p50 ≤30ms、mAP50-95 掉点 ≤1pt。含 AIPP/ATC 硬伤校验、六段时延预算、量化流水线与精度-时延帕累托前沿实验平台。
Disaggregated Prefill-Decode serving engine connecting NVIDIA Blackwell (SM120) and Huawei Ascend 910B2 (CANN) across physical nodes.
Ascend NPU linear-attention operator optimization | GDN eager->AscendC on Qwen3.5-0.8B, 3.45x speedup with verified accuracy alignment
Out-of-tree HCCL Task DAG and P2P traffic capture studio
Qwen3.8-27B on original Ascend 910: custom CANN kernels, six-NPU experiments, measured decode speedups and reproducible build recipes.
TidalCache: Sparse KV Cache Offload for DeepSeek Sparse Attention (DSA) on Ascend NPU — only move what the model attends to
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