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Displaying 70 results

PyTorch
NVIDIA
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
NeMo Framework Megatron Backend
NVIDIA
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
vLLM
NVIDIA
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
Llama-3.3-nemotron-super-49b-v1.5
NVIDIA
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
Kaldi
NVIDIA
Kaldi is an open-source software framework for speech processing.
Container
Nemotron-3-Ultra-550B-A55B
NVIDIA
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
SGLang
NVIDIA
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
Riva Skills Quick Start
NVIDIA
Scripts and utilities for getting started with Riva Speech Skills
Resource
glm-5.2
zai-org
This container houses GLM-5.2, a flagship long-context large language model for agentic engineering and advanced reasoning, packaged as an NVIDIA NIM.
Container
Llama-3.3-nemotron-super-49b-v1.5-PB-25h2
NVIDIA
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
Mimo-V2-Flash (Experimental)
Xiaomi
This container houses the model MiMo-V2-Flash.
Container
Nemotron-Content-Safety-Reasoning-4B (Experimental)
NVIDIA
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
GPT-OSS-120b-Turbo
OpenAI
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
auto-ontology
NVIDIA
Auto-Ontology backend service: Automated Build of Semantic Ontology to be consumed by Agents and Harnesses
Container
AI-Q Blueprint
NVIDIA Corporation
AI-Q Blueprint Helm Chart
Helm Chart
Nemotron-3.5-bolt-e4b-BF16
NVIDIA
NIM Container for Nemotron-3.5-bolt-e4b-BF16
Container
Fine-Tune and Optimize BERT
NVIDIA
Jupyter Notebooks for BERT Pre-training, Fine-Tuning and Inference profiling and optimization via TensorFlow, AMP, XLA, DLProf, TF-TRT and Triton.
Container
BERT for TensorFlow Jupyter Notebook
NVIDIA
Jupyter Notebook example for Question Answering with BERT for TensorFlow
Resource
DLI NLP Course - Base Environment with NeMo
NVIDIA
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
auto-ontology-frontend
NVIDIA
Auto-Ontology web UI: a Frontend Layer over the Auto Ontology Backend Service.
Container
auto-ontology-mcp
NVIDIA
Auto-Ontology MCP server: exposes ontology exploration and semantic query tools to AI agents and IDEs through the Model Context Protocol.
Container
DLI Conversational AI Course - Base Environment
NVIDIA
Base environment of the NVIDIA Deep Learning Institute (DLI) course, "Building Conversational AI Applications". This container also includes a "Next Steps" project.
Container
deplot
NVIDIA
NVIDIA NIM for GPU accelerated Deplot inference through OpenAI compatible APIs
Container
GatorTron-OG
University of Florida Health
GatorTron-OG is a Megatron BERT model trained on pre-trained on de-identified clinical notes from the University of Florida Health System.
Model
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