Graphics Processing Unit (GPU) Architecture Guide
Run GPU inference and training jobs on serverless infrastructure that scales with you.
GPU-accelerated Open Source VDI for OpenStack
Template repository for a Python 3-based (data) science project with GPU acceleration using the TensorFlow ecosystem.
Run full Linux desktops on Android using Termux & proot-distro — no root required. Guides for Debian, Ubuntu, Kali, Arch, Fedora, Alpine & more with XFCE4, VirGL GPU acceleration, and launch scripts for Mali & Adreno devices.
🚀 A Docker container for ROS2 Jazzy on Ubuntu 24.04, featuring KasmVNC via HTTPS for remote desktop access and seamless simulation. 🤖
Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.
🧠 A comprehensive toolkit for benchmarking, optimizing, and deploying local Large Language Models. Includes performance testing tools, optimized configurations for CPU/GPU/hybrid setups, and detailed guides to maximize LLM performance on your hardware.
A plug-and-play solution for installing ffmpeg with CUDA support, compatible with all versions of CUDA.
Run GGUF language models locally with llama.cpp, llama-swap, CUDA/Vulkan GPU acceleration, automatic model discovery, systemd integration, and an OpenAI-compatible API.
A containerized, GPU-accelerated Slurm cluster for Qiskit and QRMI workloads. Designed for local development, testing, and teaching quantum-classical hybrid workflows.
HPC Video Transcoding
Multi-container OpenGL/GLX rendering in Azure
Unified desktop environment launcher for Termux — 12 DEs over Termux:X11 with GPU acceleration via Mesa drivers
Packer templates for building custom machine images on AWS and GCP. Includes automated provisioning configurations for creating GPU-enabled compute images with standardized tooling and dependencies.
PyTorch built from source for AMD RDNA 3.5 (gfx1150) — Radeon 890M/880M GPU acceleration
Set up GPU passthrough on Debain & Ubuntu hosts.
WSL2 dxgkrnl DRM subsystem integration patches to enable standard /dev/dri/renderD* GPU nodes and improve Linux graphics app compatibility
Accelerate code with GPU muti threading in CUDA
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