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cuGraph - RAPIDS Graph Analytics Library
Large-scale LLM inference engine
Large-scale LLM inference engine
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.
The FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
eBPF agent and MCP server for GPU causal observability
A dynamic binary instrumentation tool for tracing and analyzing GPU kernel instructions.
CUDA kernels in any language supported by LLVM
Prototype of an intelligent safety system for detecting driver drowsiness
Optimized vLLM deployment for NVIDIA Blackwell (RTX 5090) on Linux Kernel 6.14. Resolves SM_120 kernel incompatibilities, P2P deadlocks, and memory fragmentation for high-performance LLM inference.
GPU texture reservoir computing — fragment-shader cellular automata with linear readouts for image classification and PDE solving. Honest benchmarks, CPU/OpenGL/CUDA backends.