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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • NVIDIA NIM
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  • Displaying 398 results
    Docker containers distributed as part of the TAO Toolkit package
    Container
    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
    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
    Container
    DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs.
    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
    An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
    Container
    GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
    Container
    CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.
    Container
    Parakeet 0.6b CTC en-US NIM delivers accurate English speech-to-text transcription and enables easy-to-use optimized ASR inference for large scale deployments.
    Container
    This is the RAG server container used as part of the NVIDIA AI Blueprint for RAG and used to orchestrate the end to end RAG pipeline.
    Container
    NV-CLIP
    NVIDIA
    NV-CLIP NIM microservice for multimodal embeddings model for image and text
    Container
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    MolMIM
    NVIDIA
    MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
    Container
    This is the Ingestor server container used as part of the NVIDIA RAG Blueprint and used to orchestrate the end to end Ingestion.
    Container
    JAX
    NVIDIA
    JAX is a framework for high-performance numerical computing and machine learning research. It includes Numpy-like APIs, automatic differentiation, XLA acceleration and simple primitives for scaling across GPUs and supports an ecosystem of libraries.
    Container
    A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
    Helm Chart
    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
    Container
    Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
    Helm Chart
    PyG
    NVIDIA
    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
    Container
    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
    Build a Video Search and Summarization Agent Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
    Container
    BioNeMo Framework for running training and inference on large scale bio-based models.
    Container
    aiperf
    NVIDIA
    AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution. It provides detailed metrics using a command line display as well as extensive benchmark performance reports.
    Container
    nemo-rl
    NVIDIA
    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
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