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CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
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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 34 results
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 Developer Program
NVIDIA
NVIDIA
Llama-3.2-11B-Vision-Instruct
The Llama 3.2 Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
Container
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 Developer Program
NVIDIA
NVIDIA
meta-llama-2-7b-chat
NVIDIA NIM for GPU accelerated Llama 2 7B inference through OpenAI compatible APIs
Container
NVIDIA
NVIDIA
SGLang
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
NVIDIA
NVIDIA
AI-Q Research Assistant Backend
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
NVIDIA
NVIDIA
VSS Engine Base Container
Base Container for building VSS engine from source
Container
NVIDIA NeMo Microservices
NVIDIA
NVIDIA
NVIDIA NVIngest Microservice
Helm Chart for NeMo Retriever NVIngest Microservice
Helm Chart
NVIDIA
NVIDIA
AI-Q Research Assistant Frontend
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
NVIDIA
AI Blueprint for Video Search and Summarization
Blueprint for the Video Search and Summarization Agent
Helm Chart
NVIDIA
NVIDIA
NVIDIA K8s Developer LLM Operator
The NVIDIA K8s Developer LLM Operator is an open source and easy to deploy Kubernetes Operator to self-host Generative AI workflows.
Helm Chart
NVIDIA
NVIDIA
AI-Q Research Assistant File Loader
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
NVIDIA
NVIDIA
VLM Inference Service (Jetson)
AI Inference Service for using VLM (visual language model) on streaming video for greater contextual understanding and natural language interaction
Container
NVIDIA
NVIDIA
aiq-agent
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
NVIDIA
NVIDIA
aiq-frontend
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
NVIDIA
NVIDIA
NVIDIA AI-Q Research Assistant Blueprint Helm Chart
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
NVIDIA
NVIDIA
Jetson Platform Services Reference Workflow & Resources
Jetson Platform Services Reference Workflow & Resources
Resource
NVIDIA Corporation
NVIDIA Corporation
AI-Q Blueprint
AI-Q Blueprint Helm Chart
Helm Chart
NVIDIA
NVIDIA
NeMo Retriever Library (NRL) Service
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice.
Container
NVIDIA
NVIDIA
QA squadv2.0 Bertbase
Question answering model with BERT base encoder finetuned on SQuADv2.0
Model
NVIDIA
NVIDIA
QA squadv1.1 Bertbase
Question answering model with BERT base encoder finetuned on SQuADv1.1
Model
NVIDIA
NVIDIA
QA squadv1.1 Megatronuncased
Uncased question answering model with Megatron encoder finetuned on SQuADv1.1
Model
NVIDIA
NVIDIA
QA squadv2.0 Bertlarge
Question answering model with BERT large encoder finetuned on SQuADv2.0
Model
NVIDIA
NVIDIA
QA squadv1.1 Megatroncased
Cased question answering model with Megatron encoder finetuned on SQuADv1.1
Model

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