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 Enterprise
NVIDIA Enterprise
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NVIDIA NIM
NVIDIA NIM
NIM Container GPUs
NIM Container GPUs
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NVIDIA Platform
NVIDIA Platform
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Industry
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Displaying 165 results
Validates NVIDIA GPU Operator components
Container
Provision NVIDIA GPU Driver as a Container
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
DOCA Telemetry Service (DTS) is a DOCA Service for collecting and exporting telemetry data. Both predefined and user-defined telemetry counters are available and the export is made by Prometheus, Fluent Bit, Open Telemetry and netflow.
Container
NVIDIA
NVIDIA
DOCA HBN
Host based networking (HBN) is a DOCA Service that runs on NVIDIA's DPU. It orchestrates network connectivity of dynamically created VMs/Containers on cloud servers. HBN service is a BGP router that supports EVPN extension to enable multi-tenant cloud.
Container
Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.
Container
Manages NVIDIA vGPU devices in a Kubernetes cluster
Container
NVIDIA Magnum IO is the I/O technologies from NVIDIA and Mellanox that enable applications at scale. The Magnum IO Developer Environment container allows developers to begin scaling their applications on a laptop, desktop, workstation, or in the cloud.
Container
DOCA Platform Framework enables the management of NVIDIA DPUs and the services that run on them at scale. DPF System contains the main system components for DPF.
Container
The Dynamo vLLM runtime image is a containerized build of Dynamo + vLLM which serves as the base runtime environment for vLLM based inference with Dynamo's distributed inference framework.
Container
The Dynamo TensorRT-LLM runtime image is a containerized build of Dynamo + TensorRT-LLM which serves as the base runtime environment for tensorrt-llm based inference with Dynamo's distributed inference framework.
Container
NVIDIA
NVIDIA
CUDA GL
CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to include OpenGL support through libglvnd.
Container
This is simple RDMA Device Plugin that support IB and RoCE HCA.
Container
NVIDIA AI Enterprise
Containerized NVIDIA vGPU Guest Driver
Container
DOCA Platform Framework enables the management of NVIDIA DPUs and the services that run on them at scale. This helm chart is deployed by the DPF Operator and is responsible for setting up networking related components required on the DPU.
Helm Chart
Whereabouts CNI. An IP Address Management (IPAM) CNI plugin that assigns IP addresses cluster-wide.
Container
DOCA Platform Framework enables the management of NVIDIA DPUs and the services that run on them at scale. This helm chart enables the deployment of DPF.
Helm Chart
kubernetes-operator is a container that runs as part of the Dynamo cloud platform. Dynamo cloud is a kubernetes platform for deploying and managing inference services. This container manages the lifecycle of Dynamo inference deployments in kubernetes.
Container
NVIDIA AI Enterprise
Containerized NVIDIA vGPU Guest Driver
Container
The Dynamo SGLang runtime image is a containerized build of Dynamo + SGLang which serves as the base runtime environment for sglang based inference with Dynamo's distributed inference framework.
Container
NVIDIA AI Enterprise
Containerized NVIDIA vGPU Guest Driver
Container
NVIDIA
NVIDIA
NVSM
NVIDIA System Management (NVSM) is a software framework for monitoring NVIDIA DGX nodes
Container
IP Over Infiniband (IPoIB) CNI plugin with allows user to create IPoIB child link and move it to the pod.
Container

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