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Get Started with NVIDIA AI Enterprise

Kick-start your AI journey with immediate, short-term access to NVIDIA AI Enterprise—for free.

AI, Optimized, Certified, and Supported by NVIDIA

Experience the difference of the NVIDIA AI Enterprise software suite with hands-on labs for every user. IT administrators will learn best practices for deploying and managing NVIDIA AI Enterprise. AI practitioners will learn how to optimize training and inferencing workloads using AI tools and frameworks, including NVIDIA RAPIDS, PyTorch, NVIDIA® TensorRT, TensorFlow, NVIDIA Triton Inference Server, and more. Pick one of the following curated labs to get started:

  • For AI practitioners:

    Train and Deploy an AI Support Chatbot

    Train and deploy a Natural Language Processing AI application with Triton Inference Server

    Train an AI Model for Image Classification of Online Products (on VMware vSphere)

    Run through an end-to-end data science workflow that uses TensorFlow to train an image classification model and then use NVIDIA’s Triton Inference Server to deploy the model for inference to production. For VMware vSphere users.

    Train an AI Model for Image Classification of Online Products (on Red Hat OpenShift)

    Run through an end-to-end data science workflow that uses TensorFlow to train an image classification model and then use NVIDIA’s Triton Inference Server to deploy the model for inference to production. For Red Hat OpenShift users.

  • For data science practitioners:

    Accelerate Data Processing and Train an AI Model to Predict Prices

    Experience NVIDIA RAPIDS and the popular New York City taxi dataset to train an XGBoost model and predict ride fares

    Accelerate Data Processing, Tokenization, and Train an AI Model to Perform Sentiment Analysis

    Run through an end-to-end data science workflow which uses NVIDIA RAPIDS, PyTorch Huggingface for training a sentiment analysis model, and NVIDIA’s Triton Inference Server to deploy the model for inference to production

    Scale Data Science with Domino Enterprise MLOps Platform

    Build and scale data science projects using Domino Workspaces.

  • For IT practitioners:

    Configure and Optimize VMware vSphere for AI and Data Science Workloads

    Gain hands-on experience creating VM templates for deploying NVIDIA AI VMs on VMware vSphere.

    Configure, Optimize, and Orchestrate Resources for AI and Data Science Workloads with VMware Tanzu

    Deploy on-demand GPU accelerated Kubernetes Clusters running on virtual machines that AI Practitioners, Data Scientists, and/or AI Researchers can quickly access.

    Configure, Optimize, and Orchestrate Resources for AI and Data Science Workloads with Red Hat OpenShift

    Deploy on-demand GPU accelerated Kubernetes Clusters running on virtual machines that AI Practitioners, Data Scientists, and/or AI Researchers can quickly access.

Instant, Worldwide Access

Instant, Worldwide Access

NVIDIA AI Enterprise on LaunchPad is available in 9 global regions today, bringing full AI lab experiences to developers, data scientists, and IT admins across the world.

Certified for VMware vSphere

Hassle-Free, Ready-to-Use Infrastructure

No need to set up your own hardware, install SDKs, or provide your own data. AI developers, data scientists, and IT admins alike can quickly experience NVIDIA AI Enterprise at scale on hosted, optimized infrastructure.

Free Full-Stack Experience

Free Full-Stack Experience

With LaunchPad, users can get hands-on experience building and deploying AI chatbots, price prediction models, or configuring IT resources for AI and data science teams.

Step-by-Step Support

Step-by-Step Support

Throughout your LaunchPad experience, you’ll have access to NVIDIA AI experts who can help walk you through additional resources, or help you deploy the exact LaunchPad stack right away.

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Complete the form below and an NVIDIA expert will reach out with next steps. If approved, you’ll get access to a virtual instance that includes everything you need to explore the library of hands-on labs.

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By clicking ‘Submit’ and sending my application to NVIDIA LaunchPad Trial Program, I agree to the following terms and conditions:

NVIDIA LaunchPad Terms of Use for use of the NVIDIA LaunchPad

NVIDIA AI Enterprise Software EULA for the use of NVIDIA AI Enterprise software

GPU Operator | RAPIDS | PyTorch | TensorFlow | TensorRT | Triton for the use of such listed software