An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
CUDA Core Compute Libraries
Performance monitoring and benchmarking suite
Nvidia GPU exporter for prometheus using nvidia-smi binary OR using NVML
Optimized Whisper models for streaming and on-device use
Train and serve LLMs at extreme speed and massive throughput.
DRA Driver for NVIDIA GPUs
Qwen3.8-27B on 16-32 GB Nvidia GPUs one-click install for Windows / Linux
The open .char format for consistent characters. Face, body, wardrobe & voice in one file, consistent across every model.
NVIDIA CMP 40HX unlock and research for Linux and Windows: compute, PCIe Gen2 x16, 8 GiB ReBAR, Vulkan throttle bypass.
This project is inspired by CMP40HX-Unlock. If you find it useful, please consider giving a star to both the original author and this repository.
High-throughput batched ASR for NVIDIA GPUs. Run Zipformer and NVIDIA NeMo Parakeet models through one Python API with TensorRT, custom CUDA plugins, GPU beam search, and word timestamps - up to 25,000 RTFx on B300.
GPUMesh lets people you trust run Docker GPU jobs on your machine β and lets you run jobs on theirs β over authenticated peer-to-peer connections. No SSH, no VPN, no cloud that sees your workload. Pair once, allowlist stays default-deny, jobs stay in containers.