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 AI Enterprise
NVIDIA AI Enterprise
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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 Italian 4-gram LM
    Model
    Base Hindi n-gram LM
    Model