面向大语言模型的高吞吐、低显存推理与服务引擎,通过 PagedAttention 等优化显著提升并发吞吐并降低显存占用,适合部署在线推理服务。
高性能大模型与多模态模型推理服务框架,通过优化注意力机制和调度策略提升吞吐与延迟表现,支持 Llama、DeepSeek、MoE 等主流模型部署。
用 Python API 定义大模型,并借助 TensorRT 在 NVIDIA GPU 上做极致优化推理,还提供 Python/C++ 运行时来编排高性能服务。
面向 LLM 推理服务的高性能 CUDA 内核库,提供注意力、MoE 等算子的 JIT 实现,用来加速 GPU 上的大模型推理。
面向语音 AI 的可扩展生成式框架,覆盖语音识别、语音合成、说话人分离与语音翻译,方便研究和开发人员训练部署语音模型。
…X Runtime OpenVINO, AMD MIGraphX, Jetson, DGX and Blackwell GPUs by @onuralpszr in https://github.com/ultralytics/inference/pull/563 Full Changelog : https://github.com/u
…-ampere.zip - qwen3.6-windows-server-portable-x64-blackwell.zip - SHA256SUMS.txt
qwen3.6-windows-server v1.3.7 Blackwell-only cleanup release. The two AutoRound INT4 snapshots for the RTX 5090 are gone; NVFP4 is now the sole 5090 path. Ampere/Ada (309
… (Hopper+), SageAttention 2, and SageAttention 3 (Blackwell/RTX 50xx), with automatic fallback chains to PyTorch SDPA when unavailable (based on PR by [@naxci1](https://g
Bug Fixes - avoid bogus RoPE expansions on Blackwell GPUs https://github.com/TimmyOVO/deepseek-ocr.rs/issues/24 Blackwell builds were blowing up memory because the RoPE c
…r : Optimized for NVIDIA H100/H200 GPUs - gpt oss blackwell : Optimized for NVIDIA Blackwell (B100/B200) GPUs - Based on official [vLLM GPT recipes](https://docs.vllm.ai/