SANTA CLARA — At the SC24 event, NVIDIA and Amazon Web Services (AWS) showcased their growing collaboration to offer groundbreaking AI, quantum computing, and robotics solutions through a series of innovations designed to accelerate enterprise development. One of the major announcements included the availability of NVIDIA DGX Cloud on AWS Marketplace Private Offers, providing a fully managed, high-performance AI computing platform tailored for enterprise needs. This new addition allows businesses to scale their AI capabilities efficiently, with early adopter Leonardo.ai already using the platform to develop advanced design tools.
Additionally, the two companies introduced new cooling technologies and AI computing capabilities, with AWS integrating liquid cooling into its data centers and enhancing the power of NVIDIA’s Blackwell platform. This new technology aims to improve both performance and energy efficiency, crucial for running demanding AI models at scale. As part of this, AWS will incorporate NVIDIA Blackwell’s power into Amazon EC2 P6 instances, enabling better supercomputing capabilities.
In the realm of robotics, NVIDIA is advancing physical AI simulations with Isaac Sim, now running on AWS EC2 G6e instances accelerated by NVIDIA GPUs, which will assist robotics companies in developing and testing AI-driven robots in realistic, virtual environments. Companies like Aescape and Vention are already leveraging these capabilities to validate robot performance and improve designs before real-world deployment.
Furthermore, NVIDIA BioNeMo, integrated into AWS HealthOmics, provides a robust platform for AI-based drug discovery, helping researchers like A-Alpha Bio achieve a 12x speedup in inference speed for antibody development. With these integrations, the collaboration between AWS and NVIDIA aims to provide efficient, scalable AI tools for research, business innovation, and healthcare applications.
NVIDIA’s cutting-edge AI Blueprints, now available for real-time deployment on AWS, offer solutions for video search and cybersecurity applications, accelerating development times for these critical services. Additionally, their CUDA-Q platform on Amazon Braket simplifies quantum computing development, making hybrid quantum-classical applications more accessible for researchers and businesses alike. The partnership also includes the use of RAPIDS on AWS, which enhances data science workloads and reduces costs significantly, and the IGX Orin platform that seamlessly integrates with AWS IoT Greengrass for better industrial edge systems.
This deepened integration of NVIDIA technology into AWS environments underscores both companies’ commitment to driving forward the next generation of AI and computing power for enterprises globally.
Catch more of NVIDIA’s work at AWS: re:Invent 2024 through live demos, technical sessions and hands-on labs.
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