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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.
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Displaying 392 results
NVIDIA
NVIDIA
TAO Toolkit
Docker containers distributed as part of the TAO Toolkit package
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
NVIDIA
NVIDIA
TensorRT LLM Release
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
Container
NVIDIA
NVIDIA
DeepStream
DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs.
Container
NVIDIA Developer Program
Nvidia
Nvidia
NVIDIA NIM for GenMol
GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
Container
NVIDIA
NVIDIA
vLLM
vLLM is a fast and easy-to-use library for LLM inference and serving. The NVIDIA vLLM NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
Container
NVIDIA
NVIDIA
NVIDIA NIM Operator
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
Parakeet 0.6b CTC en-US NIM
Parakeet 0.6b CTC en-US NIM delivers accurate English speech-to-text transcription and enables easy-to-use optimized ASR inference for large scale deployments.
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
NV-CLIP
NV-CLIP NIM microservice for multimodal embeddings model for image and text
Container
NVIDIA Developer Program
MIT
DiffDock
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
NVIDIA
NVIDIA
rag-server
This is the RAG server container used as part of the NVIDIA AI Blueprint for RAG and used to orchestrate the end to end RAG pipeline.
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
MolMIM
MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
Container
NVIDIA
NVIDIA
Dynamo vLLM Runtime
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
NVIDIA
NVIDIA
Dynamo Tensorrt-LLM Runtime
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
JAX
JAX is a framework for high-performance numerical computing and machine learning research. It includes Numpy-like APIs, automatic differentiation, XLA acceleration and simple primitives for scaling across GPUs and supports an ecosystem of libraries.
Container
NVIDIA
NVIDIA
ingestor-server
This is the Ingestor server container used as part of the NVIDIA RAG Blueprint and used to orchestrate the end to end Ingestion.
Container
NVIDIA
NVIDIA
PyG
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
Container
NVIDIA
NVIDIA
NVIDIA NIM Operator
Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Helm Chart
NVIDIA
NVIDIA
Dynamo Platform
A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
Helm Chart
NVIDIA
NVIDIA
VSS Engine
Build a Video Search and Summarization Agent Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Container
NVIDIA
NVIDIA
Dynamo SGLang Runtime
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
NVIDIA
Dynamo kubernetes-operator
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
NVIDIA
BioNeMo Framework
BioNeMo Framework for running training and inference on large scale bio-based models.
Container
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