About NVIDIA
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.
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- Version 21.06.0
- Sold by NVIDIA
The NVIDIA Deep Learning AMI is an optimized environment for running the GPU-optimized deep learning and HPC containers from the NVIDIA NGC Catalog. The deep learning containers on the NGC container registry require this AMI for GPU acceleration on AWS P4D, P3 and G4 GPU instances.
- Version CloudXR 3.1 VGPU 13.1
- Sold by NVIDIA
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.
- Version 21.06.0
- Sold by NVIDIA
This image bundles NVIDIA's container for PyTorch into the NGC base image for AWS.
- Version 5.1
- Sold by NVIDIA
DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. DeepStream SDK features hardware-accelerated building blocks, called plugins that bring deep neural networks and other complex processing tasks into a stream processing pipeline.
- Version 21.06.0
- Sold by NVIDIA
This image bundles NVIDIA's GPU-optimized TensorFlow container along with the base NGC AMI.
- Version 21.10
- Sold by NVIDIA
NVIDIA® Triton Inference Server simplifies the deployment of AI models at scale in production and maximizes inference performance. It is an open source inference serving software that lets teams deploy trained AI models from any framework (TensorFlow, TensorRT, PyTorch, ONNX Runtime, OpenVino, or a custom framework), from local or AWS S3 storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.
- Version 21.07
- Sold by NVIDIA
The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.
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