NVIDIA announced its collaboration with Amazon Web Services (AWS) to launch cutting-edge software solutions aimed at advancing the fields of AI, robotics, and quantum computing. The announcement was made at the AWS re:Invent conference in Las Vegas, a premier event for the global cloud computing community.
NVIDIA DGX Cloud on AWS
NVIDIA DGX Cloud, our AI computing platform, is now available in AWS Marketplace. This platform provides enterprises with a high-performance, fully managed solution for training and customizing AI models. Flexible terms and direct access to NVIDIA experts help businesses scale their AI capabilities efficiently. Early adopters like Leonardo.ai, part of the Canva family, are already leveraging DGX Cloud on AWS to develop advanced design tools.
Enhanced Cooling with NVIDIA Blackwell
AWS introduced liquid cooling solutions in its data centers to improve the performance and energy efficiency of its AI servers. This technology is fully integrated with air-cooling capabilities to optimize the performance of powerful AI systems such as the NVIDIA GB200 NVL72. The NVIDIA Blackwell platform will form the foundation for the upcoming Amazon EC2 P6 instances and DGX Cloud on AWS.
Robotics Simulation with NVIDIA Omniverse
NVIDIA is expanding the capabilities of its Omniverse platform on AWS with NVIDIA Isaac Sim, now available on high-performance Amazon EC2 G6e instances. This simulation tool allows developers to test AI-based robots in a virtual environment. Companies like Aescape and Cohesive Robotics are leveraging Isaac Sim to validate robot performance before deployment.
Advances in Drug Discovery
The NVIDIA BioNeMo framework, integrated with AWS HealthOmics, aims to accelerate AI-based drug discovery. This collaboration provides researchers with a scalable cloud infrastructure tailored to drug discovery workflows. Biotechnology companies, including A-Alpha Bio, are using BioNeMo on AWS to significantly improve their research and development processes.
Real-time AI blueprint
NVIDIA’s AI Blueprint can now be deployed on AWS to drive real-time applications in cybersecurity and video analytics. These blueprints efficiently integrate AI models into existing workflows, improving the speed and efficiency of deployment for developers and enterprises.
Quantum Computing with CUDA-Q
NVIDIA’s CUDA-Q platform is now integrated with Amazon Braket to simplify quantum computing development. This integration allows developers to use Amazon Braket’s quantum processors to create hybrid quantum-classical applications, unlocking new potential in quantum research.
For more information, visit the NVIDIA blog.
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