Since 1993, NVIDIA has pioneered the art and science of visual computing. The company's technologies are transforming a world of displays into a world of interactive discovery -- for everyone from gamers to scientists, and consumers to enterprise customers.
The NVIDIA GPU-Optimized AMI is an environment for running the GPU-accelerated deep learning and HPC containers from the NVIDIA NGC catalog. The deep learning containers from NGC catalog require this AMI for GPU acceleration on AWS P4d, P3, G4dn, G5 GPU instances.
Starting from $0.20 to $0.20/hr for software + AWS usage fees
The cloud-based RTX Virtual Workstation (formerly NVIDIA Quadro Virtual Data Center Workstation) includes the latest NVIDIA virtual GPU software and RTX driver, making it ideal for customers seeking the flexibility of the cloud but also requiring RTX performance.
The NVIDIA GPU-Optimized AMI (ARM64) is an optimized environment for running the GPU-optimized deep learning and HPC containers from the NVIDIA NGC Catalog on ARM64 EC2 instances.
The NVIDIA Omniverse GPU-Optimized AMI is a virtual machine image optimized to run Omniverse 3D graphics and simulation workloads. Using this AMI, you can spin up a GPU-accelerated EC2 instance in minutes with a pre-installed Ubuntu OS, GPU driver, X11, Docker and NVIDIA container toolkit.
Starting from $1.00 to $8.00/hr for software + AWS usage fees
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI.
CloudXR is NVIDIA's streaming SDK for delivering virtual reality (VR) and augmented reality (AR) across 5G and Wi-Fi networks. This AMI includes the CloudXR server driver, as well as NVIDIA's RTX Virtual Workstation software.
Starting from $0.20 to $0.20/hr for software + AWS usage fees
Using the NVIDIA Virtual Machine Image (VMI) with NVIDIA RTX Virtual Workstation in the AWS marketplace, customers can easily spin up a VM to power graphics-intensive applications on Ubuntu in minutes. Easily configure NVIDIA GPU, vCPU, memory, and storage you need, without having to purchase any physical hardware and infrastructure. IT only needs to install applications and VMs are up and running.
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