gpu

Deep Learning GPU Training System

Achieve state of the art inference performance with modern accelerators on Kubernetes

TVM Documentation in Chinese Simplified / TVM 中文文档

📷 A composable image editor using Core Image and Metal.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

Fast and flexible AutoML with learning guarantees.

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

A GPU-rendered terminal emulator with inline 3D graphics 🐀🧀

Open source neural network chess engine with GPU acceleration and broad hardware support.

A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀

cuda-oxide is an experimental Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign language bindings, just Rust.

HeavyDB (formerly MapD/OmniSciDB)

High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.

A Pythonic framework to simplify AI service building

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

Resource scheduling and cluster management for AI

CPU-X is a Free software that gathers information on CPU, motherboard and more