ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
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SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA AI Enterprise
NVIDIA AI Enterprise
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NVIDIA NIM
NVIDIA NIM
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NIM Container GPUs
NIM Container GPUs
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Displaying 7 results
NVIDIA
NVIDIA
GPU Operator
Deploy and Manage NVIDIA GPU resources in Kubernetes.
Helm Chart
NVIDIA
NVIDIA
PyTorch
PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
Container
NVIDIA
NVIDIA
TensorRT
NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.
Container
NVIDIA
NVIDIA
NVIDIA NIM Operator
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Container
NVIDIA
NVIDIA
CUDA Deep Learning
CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
Multi-LLM NIM
Multi-LLM NIM container.
Container
Collection
NVIDIA Developer Program
NVIDIA
NVIDIA
DGX Spark
DGX Spark is an enterprise-grade software solution for deploying critical, production applications that run on the NVIDIA DGX Spark and NVIDIA GB10 Grace Blackwell Superchip-based partner systems.
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