ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
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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 64 results
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
NeMo Framework Megatron Backend
NVIDIA NeMo™ framework Megatron backend supports pre-training, post-training, and reinforcement learning of LLMs and multi-modal generative AI models with state-of-the-art data processing, model training techniques, and flexible deployment options.
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
Llama-3.3-nemotron-super-49b-v1.5
This container houses the Llama-3.3-Nemotron-Super-49B-v1.5, which is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct
Container
NVIDIA
NVIDIA
Riva Skills Quick Start
Scripts and utilities for getting started with Riva Speech Skills
Resource
NVIDIA
NVIDIA
Kaldi
Kaldi is an open-source software framework for speech processing.
Container
NVIDIA AI Enterprise
NVIDIA
NVIDIA
Llama-3.3-nemotron-super-49b-v1.5-PB-25h2
This container houses the **Llama-3.3-Nemotron-Super-49B-v1.5 PB 25h2**, which is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct
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
Nemotron-Content-Safety-Reasoning-4B (Experimental)
Nemotron Content Safety Reasoning 4B is a Large Language Model (LLM) classifier designed to function as a dynamic and adaptable guardrail for content safety and dialogue moderation (topic-following).
Container
Xiaomi
Mimo-V2-Flash (Experimental)
This container houses the model MiMo-V2-Flash.
Container
OpenAI
GPT-OSS-120b-Turbo
The GPT-OSS-120b-Turbo NIM container packages OpenAI's GPT-OSS-120b large language model, a sparse Mixture of Experts (MoE) architecture with 120B total parameters and 5.1B active parameters, as an NVIDIA NIM microservice.
Container
NVIDIA
NVIDIA
Nemotron-3-Ultra-550B-A55B
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
NVIDIA
NVIDIA
BERT for TensorFlow Jupyter Notebook
Jupyter Notebook example for Question Answering with BERT for TensorFlow
Resource
NVIDIA
NVIDIA
Fine-Tune and Optimize BERT
Jupyter Notebooks for BERT Pre-training, Fine-Tuning and Inference profiling and optimization via TensorFlow, AMP, XLA, DLProf, TF-TRT and Triton.
Container
NVIDIA
NVIDIA
DLI NLP Course - Base Environment with NeMo
Base environment used in the NVIDIA NeMo projects of the NVIDIA Deep Learning Institute (DLI) course, "Building Transformer-Based Natural Language Processing Applications". This container also includes a "Next Steps" project.
Container
NVIDIA Corporation
NVIDIA Corporation
AI-Q Blueprint
AI-Q Blueprint Helm Chart
Helm Chart
NVIDIA
NVIDIA
DLI Conversational AI Course - Base Environment
Base environment of the NVIDIA Deep Learning Institute (DLI) course, "Building Conversational AI Applications". This container also includes a "Next Steps" project.
Container
NVIDIA NeMo Microservices
NVIDIA
NVIDIA
deplot
NVIDIA NIM for GPU accelerated Deplot inference through OpenAI compatible APIs
Container
University of Florida Health
GatorTron-OG
GatorTron-OG is a Megatron BERT model trained on pre-trained on de-identified clinical notes from the University of Florida Health System.
Model
NVIDIA
NVIDIA
BERT on Google Cloud AI Platform
Fine-tune a pre-trained BERT model with the SQuAD dataset, optimize for inference using TensorRT and deploy with Triton Inference Server on Google Cloud AI Platform using Custom Containers
Resource
NVIDIA
NVIDIA
BioMegatron345mUncased
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
NVIDIA
NVIDIA
Question Answering Notebook
End to End workflow for question answering starting with training in TAO Toolkit and deployment using Riva.
Resource
NVIDIA
NVIDIA
BERT+SQuAD TF Finetuning Notebook
NVIDIA's BERT leverages mixed precision arithmetic and Tensor Cores on A100, V100 and T4 GPUs for faster training while maintaining target accuracy. This notebook demonstrates BERT Question Answering Fine-Tuning with Mixed Precision on SQuaD 2.0 Dataset.
Resource
NVIDIA
NVIDIA
Text Classification Notebook
End to End sample workflow for Text Classification starting with training in TAO Toolkit and deployment using Riva.
Resource

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