Skip to main content
ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator

Search

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 16 results

Snowflake Arctic Embed Large Embedding
—
NVIDIA NIM for GPU accelerated Snowflake Arctic Embed Large Embedding inference
Container
NVIDIA Retrieval QA Llama 3.2 1B Embedding v2
NVIDIA
The NVIDIA Retrieval QA Llama3.2 1b Embedding NIM is an embedding NIM optimized for multilingual and crosslingual text question-answering retrieval.
Container
NVIDIA Retrieval QA E5 Embedding v5
NVIDIA
NVIDIA NIM for GPU accelerated NVIDIA Retrieval QA E5 Embedding v5 inference
Container
NVIDIA Retrieval QA E5 Embedding v5 PB May 2025 (PB 25h1)
NVIDIA
NVIDIA Retrieval QA E5 Embedding v5 NIM Production Branch June 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
NVIDIA Retrieval QA E5 Embedding v5 PB October 2024 (PB 24h2)
NVIDIA
NVIDIA Retrieval QA E5 Embedding v5 NIM Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
NVIDIA Retrieval QA Llama 3.2 300m Embedding v2
NVIDIA
World-class multilingual and cross-lingual question-answering retrieval.
Container
NVIDIA Retrieval QA Mistral 7B Embedding v2
—
NVIDIA NIM for GPU accelerated NVIDIA Retrieval QA Mistral 7B Embedding v2 inference
Container
NVIDIA Retrieval QA Llama 3.2 1B Embedding v2
NVIDIA
The NVIDIA Retrieval QA Llama3.2 1b Embedding NIM is an embedding NIM optimized for multilingual and crosslingual text question-answering retrieval.
Container
NVIDIA Retrieval QA Llama 3.2 1B Embedding v2 PB6
NVIDIA
The NVIDIA Retrieval QA Llama3.2 1b Embedding NIM is an embedding NIM optimized for multilingual and crosslingual text question-answering retrieval.Please add description
Container
NVIDIA Retrieval QA E5 Embedding v5
NVIDIA
NVIDIA NIM for GPU accelerated NVIDIA Retrieval QA E5 Embedding v5 inference
Container
Snowflake Arctic Embed Large Embedding
—
Text Embedding
Model
Nemotron Embed
NVIDIA
World-class multimodal question-answering retrieval.
Container
Llama 3.2 NeMo Retriever Multimodal Embedding 1B
NVIDIA
World-class multimodal question-answering retrieval.
Container
NVIDIA Retrieval QA Llama 3.2 1B Embedding v2
NVIDIA
The NVIDIA Retrieval QA Llama3.2 1b Embedding NIM is an embedding NIM optimized for multilingual and crosslingual text question-answering retrieval.
Container
NVIDIA Retrieval QA E5 Embedding v5 PB6
NVIDIA
NVIDIA NIM for GPU accelerated NVIDIA Retrieval QA E5 Embedding v5 inference.Please add description
Container
Production Branch 6 (PB6)
NVIDIA
Access the production branches of AI frameworks and SDKs. Supported for 9 months with monthly security patches.
Collection
1-16 of 16 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings