The Nvidia DGX Cloud AI computing platform is now available via Amazon Web Services (AWS) Marketplace Private Offers.

Announced during the AWS Re:Invent 2024 conference, Nvidia's CUDA-Q has also been integrated with Amazon Braket to give users access to Amazon Braket's quantum processors.

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– Nvidia

The Nvidia DGX Cloud is a fully managed platform that gives users direct access to Nvidia experts to help companies scale their AI capabilities.

Described by Nvidia as "your own AI factor in the cloud," the DGX Cloud platform offers scalable access to Nvidia architecture including the company's most advanced GPUs.

An early user of DGX Cloud on AWS is Leonardo.ai for developing advanced design tools.

Nvidia launched its DGX Cloud offering in March 2023, and became available on Oracle Cloud Marketplace in October 2023. Other partners include Microsoft Azure and Google Cloud.

Through DGX Cloud, the cloud providers lease Nvidia's servers and deploy them as a cloud that Nvidia can market and sell to enterprises looking for large GPU supercomputers.

Nvidia launches CUDA-Q on AWS

In addition to the launch of DGX Cloud on AWS, Nvidia's CUDA-Q has been integrated with Amazon Braket, giving CUDA-Q users access to Amazon Braket's quantum processors while also using CUDA-Q's GPUs for development and simulation workloads.

Amazon Braket is AWS' cloud quantum computing service offering access to superconducting qubits, trapped ion quantum computers, and neutral atom-based quantum processors.

The integration will enable users to build hybrid quantum-classical applications on Amazon Braket using a variety of QPU resources including physical and simulated qubits.

Other key announcements from Re:Invent so far include the launch of EC2 instances featuring Nvidia's Blackwell GPUs and AWS' Trainium2 chips - including UltraServers with four Trainium2 instances.

The cloud provider has also revealed its PUE numbers for its global data centers for the first time, and announced new data center components designed to improve the efficiency of its data centers.