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Search thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 38 results

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
Llama-3.2-11B-Vision-Instruct
NVIDIA
The Llama 3.2 Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
Container
VSS Engine
NVIDIA
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
SGLang
NVIDIA
SGLang is a fast serving framework for large language models and vision language models. The NVIDIA SGLang NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
Container
meta-llama-2-7b-chat
NVIDIA
NVIDIA NIM for GPU accelerated Llama 2 7B inference through OpenAI compatible APIs
Container
AI-Q Research Assistant Backend
NVIDIA
The NVIDIA AI-Q Research Assistant Blueprint gives developers a foundational starting point for building a deep research assistant that can run on-premise. The backend container provides the RESTful API service.
Container
VSS Engine Base Container
NVIDIA
Base Container for building VSS engine from source
Container
AI-Q Research Assistant Frontend
NVIDIA
The NVIDIA AI-Q Research Assistant Blueprint gives developers a foundational starting point for building a deep research assistant that can run on-premise. The frontend container provides a demo web UI.
Container
NVIDIA NVIngest Microservice
NVIDIA
Helm Chart for NeMo Retriever NVIngest Microservice
Helm Chart
aiq-agent
NVIDIA
NVIDIA AI-Q Intelligence Agent — an enterprise-grade backend agent built on the NVIDIA NeMo Agent Toolkit, providing quick cited answers and in-depth report-style research with modular multi-agent workflows.
Container
aiq-frontend
NVIDIA
NVIDIA AI-Q Blueprint frontend — a modern web UI built with Next.js, React, and NVIDIA KUI Foundations, providing an accessible interface for the AI-Q Blueprint backend with optional OAuth authentication.
Container
AI-Q Research Assistant File Loader
NVIDIA
The NVIDIA AI-Q Research Assistant Blueprint gives developers a foundational starting point for building a deep research assistant that can run on-premise. This container includes a utility to create two default datasets used by the demo web UI.
Container
AI Blueprint for Video Search and Summarization
NVIDIA
Blueprint for the Video Search and Summarization Agent
Helm Chart
VLM Inference Service (Jetson)
NVIDIA
AI Inference Service for using VLM (visual language model) on streaming video for greater contextual understanding and natural language interaction
Container
NVIDIA K8s Developer LLM Operator
NVIDIA
The NVIDIA K8s Developer LLM Operator is an open source and easy to deploy Kubernetes Operator to self-host Generative AI workflows.
Helm Chart
NeMo Retriever Library (NRL) Service
NVIDIA
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice.
Container
auto-ontology
NVIDIA
Auto-Ontology backend service: Automated Build of Semantic Ontology to be consumed by Agents and Harnesses
Container
AI-Q Blueprint
NVIDIA Corporation
AI-Q Blueprint Helm Chart
Helm Chart
NVIDIA AI-Q Research Assistant Blueprint Helm Chart
NVIDIA
Helm chart to deploy the NVIDIA AI-Q Research Assistant Blueprint which gives developers a starting point for building a deep research assistant that can run on-premise, allowing anyone to create detailed research reports using on-premise data.
Helm Chart
auto-ontology-frontend
NVIDIA
Auto-Ontology web UI: a Frontend Layer over the Auto Ontology Backend Service.
Container
auto-ontology-mcp
NVIDIA
Auto-Ontology MCP server: exposes ontology exploration and semantic query tools to AI agents and IDEs through the Model Context Protocol.
Container
Jetson Platform Services Reference Workflow & Resources
NVIDIA
Jetson Platform Services Reference Workflow & Resources
Resource
NVIDIA Auto Ontology Helm Chart
NVIDIA
Auto Ontology - Automated Creation of Semantic Ontology for Agents and Harneeses
Helm Chart
QA squadv2.0 Bertbase
NVIDIA
Question answering model with BERT base encoder finetuned on SQuADv2.0
Model
1-24 of 38 items

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