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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 104 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
    Kaldi
    Kaldi is an open-source software framework for speech processing.
    Container
    NVIDIA Developer Program
    Stockmark
    Stockmark-2-100B-Instruct
    NVIDIA NIM for GPU accelerated Stockmark-2-100B-Instruct inference through OpenAI compatible APIs
    Container
    NVIDIA
    NVIDIA
    Morpheus
    NVIDIA Morpheus is an open AI application framework for cybersecurity developers.
    Container
    NVIDIA
    NVIDIA
    Foundational Flywheel Server
    Turn workload evaluation and optimization requests into a fully automated, end-to-end workflow across many specialized micro-services with the Flywheel orchestrator control-plane service.
    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 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 AI Enterprise
    NVIDIA
    NVIDIA
    NVIDIA Morpheus PB May 2024 (PB 24h1)
    NVIDIA Morpheus Production Branch May 2024 (PB 24h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    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
    NVIDIA
    NVIDIA
    Morpheus Triton Server Models
    The Morpheus Triton Server Models Container builds upon the NVIDIA Triton Inference Server container by adding the Morpheus pre-trained models.
    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
    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 AI Enterprise
    NVIDIA
    NVIDIA
    NVIDIA Morpheus PB May 2025 (PB 25h1)
    NVIDIA Morpheus Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    Container
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    NVIDIA Morpheus PB October 2024 (PB 24h2)
    NVIDIA Morpheus 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
    NVIDIA
    aiq-agent
    NVIDIA AI-Q Intelligence Agent — an enterprise-grade backend agent built on the NVIDIA NeMo Agent Toolkit, providing quick cited answers and in-depth report-style research with modular multi-agent workflows.
    Container
    NVIDIA
    NVIDIA
    NIM Agent Blueprint for Vulnerability Analysis
    The Vulnerability Analysis for Container Security is a NIM Agent Blueprint that dramatically accelerates vulnerability detection and mitigation with generative AI and the Morpheus cybersecurity SDK. 
    Container
    NVIDIA
    NVIDIA
    Text Classification with BERT and NeMo
    Text Classification with BERT and NeMo. This NeMo application trains text classification models using single-GPU or multi-GPU. We log performance metrics and visualize them with TensorBoard. We show how to do inference with NeMo, and we visualize BERT embeddings before and after fine-tuning.
    Container
    NVIDIA
    NVIDIA
    aiq-frontend
    NVIDIA AI-Q Blueprint frontend — a modern web UI built with Next.js, React, and NVIDIA KUI Foundations, providing an accessible interface for the AI-Q Blueprint backend with optional OAuth authentication.
    Container
    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

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