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Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 409 results

TAO Toolkit
NVIDIA
Docker containers distributed as part of the TAO Toolkit package
Container
PyTorch
NVIDIA
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
TensorRT LLM Release
NVIDIA
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
vLLM
NVIDIA
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
DeepStream
NVIDIA
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 NIM Operator
NVIDIA
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Container
CUDA Deep Learning
NVIDIA
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 NIM for GenMol
Nvidia
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
Parakeet 0.6b CTC en-US NIM
NVIDIA
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
rag-server
NVIDIA
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
NV-CLIP
NVIDIA
NV-CLIP NIM microservice for multimodal embeddings model for image and text
Container
DiffDock
MIT
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
MolMIM
NVIDIA
MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
Container
ingestor-server
NVIDIA
This is the Ingestor server container used as part of the NVIDIA RAG Blueprint and used to orchestrate the end to end Ingestion.
Container
JAX
NVIDIA
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
Dynamo Platform
NVIDIA
A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
Helm Chart
TensorRT LLM Develop
NVIDIA
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 NIM Operator
NVIDIA
Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Helm Chart
PyG
NVIDIA
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
Nemotron-3-Ultra-550B-A55B
NVIDIA
Nemotron-3-Ultra-550B-A55B NIM container packages NVIDIA's large language model featuring a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Multi-Token Prediction (MTP) layers.
Container
sglang-runtime-nightly
NVIDIA
The Dynamo SGLang runtime nightly 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 which is published every night.
Container
vllm-runtime-nightly
NVIDIA
The Dynamo vLLM runtime nightly 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 published at a nightly cadence.
Container
tensorrtllm-runtime-nightly
NVIDIA
The Dynamo TensorRT-LLM runtime nightly 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 published at a nightly cadence.
Container
BioNeMo Framework
NVIDIA
BioNeMo Framework for running training and inference on large scale bio-based models.
Container
1-24 of 409 items

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