Nvidia Gpu
Showing 12 of 12 projects
A self-hosted game streaming server for Moonlight clients, offering low-latency streaming with hardware encoding support.
A deprecated wrapper that enabled Docker containers to access NVIDIA GPU resources.
NVIDIA's SDK for high-performance deep learning inference optimization and deployment on NVIDIA GPUs.
A Linux tool for monitoring and configuring AMD, Nvidia, and Intel GPUs, including overclocking, fan control, and power management.
A flow-based generative network for fast, high-quality speech synthesis from mel-spectrograms.
A modern C++20 GPU numerical computing library with Python-like syntax for near-native performance on NVIDIA GPUs.
A container runtime that enables GPU acceleration in Docker containers (deprecated in favor of NVIDIA Container Toolkit).
A JupyterLab extension for visualizing GPU usage dashboards directly within the JupyterLab interface.
A collection of CI pipelines, Docker images, and optimized examples to simplify JAX development on NVIDIA GPUs.
A terminal-based horizon chart utility for monitoring CPU, GPU, Neural Engine, disk, network, and memory utilization on Apple Silicon, NVIDIA, and AMD systems.
Compiles Ada and SPARK code directly to NVIDIA GPUs using CUDA toolsuite.
A beginner's guide to choosing and building computer hardware specialized for deep learning tasks.
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