Project Maya - run GLM-5.3-Flash (321B MoE) and DeepSeek-V4.1-Flash-1017 (748B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
Run large AI models on your own PC: Qwen3.8-Flash-Next on Strata's engine, and GLM 5.3 Flash, DeepSeek V4 Flash, LFM2.5, Qwen3.6, Ornith 1.5, Gemma 4, Tiel Coder and MiniCPM-V on a second engine written for PolyStrata. One-click install for Windows and Linux, OpenAI/Anthropic API on localhost.
Xolotl (formerly Strata-DSV4.1): DeepSeek-V4.1-Flash, all 552B, on one gaming PC (RTX 4090 + 90 GB RAM) at ~27 tok/s, plus GLM-5.3-Flash, Qwen3.8-Flash-Next and Qwen3.8-27B. A heavily extended fork of Strata: MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.
Cross-vendor 3D Gaussian Splatting trainer - video to splat to mesh, Vulkan or CUDA.
FlashRT is a high-performance realtime inference engine for small-batch, latency-sensitive AI workloads. The flagship integration is production VLA control for Pi0, Pi0.5, GROOT N1.6, and Pi0-FAST. Also support llm e.g, qwen3.6-27B
构屎 GOUJI — 纯 C++/CUDA 的三值 mini LLM。2 bit/权重,零 Python;联想记忆工具路由,零训练参数;143 个缺陷与 29 个变异测试记录在案。
RTX 5070 Ti Laptop 12GB 跑 Qwen3.8-27B:NInfer + KVMem、256K 逻辑上下文、RAM KV、MTP、快速缓存续接与 dsh 本地 Agent / 搜索 / 浏览器。含源码、Windows 部署及实测。
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
LLM speculative inference server for heterogeneous hardware & consumer GPUs
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
C++/CUDA single-GPU inference engine for Qwen3.8 (incl. Qwen3.8-Flash-Next with offloaded experts) on the RTX 5090; grew from NInfer
Open3D: A Modern Library for 3D Data Processing
Making it easier to work with shaders
ALIEN is a CUDA-powered artificial life simulation program.
Optimized primitives for collective multi-GPU communication
A retargetable MLIR-based machine learning compiler and runtime toolkit.
UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
Strata fork: Qwen3.8-Flash-Next 125B MoE in NVFP4 on one RTX 20-50 card (12 GB+) and 64 GB of RAM or more. Setup installs our GPTQ quants (huihui abliterated, OrcaRouter) from Hugging Face. CPU experts on AVX-512 or AVX2 (+AVX-VNNI), all experts in RAM from 92 GB, a low-RAM mode below, vision, W4A8 prompts. Windows / CUDA 13.
Get more intelligence from every bit. Better quantization formats and smarter calibration let larger, stronger models run smoothly on the hardware you already own.
Open source neural network chess engine with GPU acceleration and broad hardware support.
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
Fast inference engine for Transformer models
CUDA Core Compute Libraries
Multi-GPU CUDA stress test
CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking
llama.cpp optimized for NVIDIA Tesla V100 (SM70): Qwen3.8-Flash-Next with MTP (prefill 3402 tok/s at 200K context on 6x V100-16GB; also runs on 2x V100-16GB) and Qwen3.8-27B with DFlash2 (decode up to 220 tok/s); 2-6 GPUs, 262K-512K context, multimodal, concurrent serving, built-in web UI.
A compiler-first PyTorch alternative. MLIR-based Boom IR, Guile scripting, CUDA and CPU. On consumer GPUs it already beats llama.cpp’s LLM decode with the same kernels; the compiler makes the difference. GPLv3.
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
High-performance GPU-accelerated signal processing and visualization framework that runs anywhere.
llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx. Supports low memory (12gb) configs for 200k+ ctx
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
High-Performance Rendering Framework on Stream Architectures
3D geometry processing SDK: fast mesh boolean, mesh repair, decimation, remeshing, offset, point cloud triangulation and ICP registration. C++ with Python, C#, C and JavaScript bindings.
Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.
A General-purpose Task-parallel Programming System in C++
Lightning fast C++/CUDA neural network framework
HeavyDB (formerly MapD/OmniSciDB)
Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
LuxCore source repository
oneAPI Math Library (oneMath)
Numerical linear algebra software package
Peak compute, memory bandwidth and latency of CPUs, GPUs and NPUs: the same tests through every API that reaches a device. Command line and app for Windows, macOS, Linux and Android
C++ inference for Laya typed decisions - supports CUDA, Vulkan, Core ML, CPU
The set-and-forget LLM engine for Pascal and Volta: PXQ codec + kernels, auto-tuned per card. Ready-to-run PXQ models in MODELS.md; benchmarks vs llama.cpp in the README.
Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.
Compile and run CUDA on Apple M4-M5 GPUs
Native Windows port of NInfer engine for RTX 5090. Features Qwen3.8-27B with QUASAR and NInfer models, MTP/DFlash2 with vision and 262,144 context
Portable C++17 implementation of YuE2 AI Music Generator using GGML. Text + lyrics in, stereo 48kHz MP3 or WAV out. Runs on CPU, CUDA, ROCm, Metal, Vulkan.
DeepSeek V4 Flash 0731 - free deepseek v4 flash download, gguf, ollama, deepseek v4 pro 0813. deepseek v4 flash vs pro, benchmark, MoE, 1M context, compressed sparse attention, coding. CUDA/CPU, no API key, Windows local AI. Download:🡇
cuDF - GPU DataFrame Library
HIP: C++ Heterogeneous-Compute Interface for Portability
🔥🔥🔥TensorRT for YOLO26 (det/pose/seg/depth/obb/cls), YOLOv11,YOLOv10 YOLOv9,YOLOv8, ... 🚀🚀🚀 CUDA IS ALL YOU NEED. 🍎🍎🍎
An efficient C++20 GPU numerical computing library with Python-like syntax
Programmable CUDA/C++ GPU Graph Analytics
CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA tensor core units.
Thin, unified, C++-flavored wrappers for the CUDA APIs
C++ library for solving large sparse linear systems with algebraic multigrid method
Train and serve LLMs at extreme speed and massive throughput.