Gpu Operator
NVIDIA
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
OPENAGENTSKILL / DIRECTORY
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Results: 91
NVIDIA
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
NVIDIA-ISAAC-ROS
Deep learned, NVIDIA-accelerated 3D object pose estimation
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
NVIDIA
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
NVIDIA
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, t…
NVIDIA
Run agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference
NVIDIA
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.
NVIDIA-AI-Blueprints
cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
NVIDIA-AI-Blueprints
The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
pytorch
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
dstackai
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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