SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA Enterprise
NVIDIA Enterprise
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NVIDIA NIM
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NIM Container GPUs
NIM Container GPUs
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Displaying 37 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
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 Developer Program
NVIDIA NIM for GPU accelerated Llama 2 7B inference through OpenAI compatible APIs
Container
NVIDIA
NVIDIA
nemo-rl
NVIDIA NeMo™ RL accelerates reinforcement learning post-training with high-performance GPU backends, offering scalable GRPO, DPO, SFT, and distillation for multimodal models from single-node experiments to enterprise-scale clusters.
Container
NVIDIA NeMo™ AutoModel accelerates LLM and VLM training and fine‑tuning with PyTorch DTensor‑native SPMD, day‑0 Hugging Face support, and optimized parallelism from single‑ to multi‑node scale.
Container
NVIDIA AI Enterprise
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
Microsoft
Microsoft
Phi-4
Phi-4 is a state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. Source: https://huggingface.co/microsoft/phi-4
Model
AI Inference Service for using VLM (visual language model) on streaming video for greater contextual understanding and natural language interaction
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
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
Transformer-Large language model for English ASR, Trained on LibriSpeech text corpus with NeMo
Model
University of Florida Health
GatorTron-S
GatorTron-S is a Megatron BERT model trained on pre-trained on synthetic clinical discharge summaries generated by SynGatorTron 5B NLG, a Megatron GPT-3 model trained on de-identified clinical free text at the University of Florida health system.
Model
Base Arabic 4-gram LM
Model
Base German 4-gram LM
Model
Base English en-GB n-gram LM
Model
This recipe contains information and scripts to produce performance results for the Llama 2 training workload.
Resource
Base Japanese 3-gram LM
Model
Base Mandarin 4-gram LM
Model
In this notebook, we will use NVIDIA's NeMo framework to finetune the Mistral 7B LLM. Finetuning can be done using Brev quick deploy option.
Resource
Base Russian n-gram LM
Model
Base French n-gram LM
Model
Base Korean n-gram LM
Model
Base Hindi n-gram LM
Model
Base Italian 4-gram LM
Model

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