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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  • NVIDIA Platform
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  • Policy
    Policy
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  • Displaying 1461 results
    Monitor GPUs in Kubernetes using NVIDIA DCGM. This is an exporter for a Prometheus monitoring solution in Kubernetes.
      Container
      The NVIDIA Kubernetes Device Plugin registers GPUs as compute resources in the Kubernetes cluster.
        Container
        Validates NVIDIA GPU Operator components
        Container
        Docker containers distributed as part of the TAO Toolkit package
        Container
        Build and Run GPU Accelerated Docker Containers.
          Container
          Manages NVIDIA Driver upgrades in Kubernetes cluster.
            Container
            Provision NVIDIA GPU Driver as a Container
            Container
            Deploy and Manage NVIDIA GPU resources in Kubernetes.
              Container
              Plugin for the Kubernetes Node Feature Discovery for adding GPU node labels.
              Container
              Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.
              Container
              NVIDIA
              NVIDIA
              cuda
              Container registry for CUDA images
              Container
              NVIDIA
              NVIDIA
              DCGM
              Manage and Monitor GPUs in Cluster Environments.
              Container
              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
              Manage MIG partitions in Kubernetes with a simple label change to a node.
                Container
                TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.
                Container
                Skyhook Agent container used by Skyhook Operator
                Container
                The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
                Container
                Python Basic - AI Workbench Default Container
                  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
                  Python with CUDA 12.2 - AI Workbench Default Container
                    Container
                    NVIDIA NeMo™ framework Megatron backend supports pre-training, post-training, and reinforcement learning of LLMs and multi-modal generative AI models with state-of-the-art data processing, model training techniques, and flexible deployment options.
                    Container
                    Python with CUDA 11.7 - AI Workbench Default Container (Beta)
                      Container
                      PyTorch - AI Workbench Default Container
                      Container
                      Python with CUDA 12.0 - AI Workbench Default Container
                        Container
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