Diagnosing cancer. Predicting hurricanes. Automating business operations. These are some of the breakthroughs possible when you use accelerated computing to unveil the insights hiding in vast volumes of data. Amazon Web Services (AWS) and NVIDIA have collaborated since 2010 to deliver the most powerful and advanced GPU-accelerated cloud to help customers build a more intelligent future.
Accelerate drug discovery and genomic analysis using NVIDIA BioNeMo™ and NIM™ microservices on AWS HealthOmics. Researchers can access optimized AI models for protein structure prediction and generative chemistry, reducing time-to-insight and enabling cost-effective, scalable biology workflows.
Enhance fraud detection and identity verification with the NVIDIA AI Blueprint for financial fraud detection on AWS for financial institutions to identify subtle patterns and anomalies in transaction data.
Simulate physically accurate industrial digital twins, processes, and operations with NVIDIA Omniverse™ on AWS. Automakers and logistics companies, including Amazon Robotics, simulate production lines and autonomous mobile robots in virtual environments to optimize workflows before physical deployment.
Enable agencies to harness large-scale AI and HPC with full-stack accelerated computing to support missions such as generative AI, large-scale data analytics, physics simulations, and physical AI. AWS European Sovereign Cloud, powered by the NVIDIA Blackwell platform, NVIDIA Run:ai, and NVIDIA AI Enterprise, enables European organizations to securely deploy AI applications.
Optimize network operations and customer experiences with the Telco AI Fellowship, a collaboration with AWS and NVIDIA. Utilize agentic AI to drive operational efficiency and new revenue streams across voice, video, and data.
Streamline content creation with cloud-based virtual workstations using NVIDIA RTX™ on AWS. AI-accelerated production pipelines deliver higher quality content faster, data analytics provide deeper insights, distribution and monetization are optimized, and software-defined infrastructure is enhancing live entertainment.
Accelerate subsurface exploration and production, optimize field equipment and operations, increase grid reliability and resiliency, and boost renewable energy generation.
Access a broad range of NVIDIA GPU-accelerated instances on Amazon EC2 on demand to meet the diverse computational requirements of AI, machine learning, data analytics, graphics, cloud gaming, virtual desktops, and HPC applications. Starting from single-GPU instances to thousands of GPUs in EC2 UltraClusters, AWS customers can provision the right-sized GPU to accelerate time to solution and reduce total costs of running their cloud workloads.
AWS and NVIDIA are deepening their collaboration to accelerate physical AI, which enables autonomous machines such as robots and self-driving cars to perceive, understand, reason, and perform complex actions in the real, physical world. By combining AWS’s scalable cloud infrastructure with NVIDIA’s full-stack solution, developers can train, simulate, and deploy physical AI more efficiently.
Access the computational power of NVIDIA GPU-accelerated instances on AWS to develop and deploy your applications at scale with fewer compute resources, accelerating time to solution and reducing TCO. To maximize performance and developer productivity, NVIDIA offers a wide range of GPU-optimized software for a broad range of workloads, including data science, data analytics, AI and machine learning training, AI and machine learning inference, HPC, and graphics.
NVIDIA and AWS collaborate closely on integrations to bring the power of NVIDIA-accelerated computing to a broad range of AWS services. Whether you provision and manage the NVIDIA GPU-accelerated instances on AWS yourself or leverage them in managed services like Amazon SageMaker or Amazon Elastic Kubernetes Service (EKS), you have the flexibility to choose the optimal level of abstraction you need.