To expand what developers and enterprises can do in the cloud, NVIDIA and Amazon Web Services are coming together this week at AWS re:Invent in Las Vegas to accelerate breakthroughs in AI and robotics and explore quantum computing developments. Introducing a new solution designed to simplify.
AWS re:Invent is a conference for the global cloud computing community packed with keynotes and over 2,000 technical sessions.
Announcement highlights include availability of NVIDIA DGX Cloud on AWS, enhanced AI, quantum computing, and robotics tools.
NVIDIA DGX Cloud on AWS for large-scale AI
The NVIDIA DGX Cloud AI Computing Platform, now available through an AWS Marketplace private offer, provides a high-performance, fully managed solution for enterprises to train and customize AI models.
DGX Cloud offers flexible terms, a fully managed and optimized platform, and direct access to NVIDIA experts to help businesses quickly scale their AI capabilities.
Early adopter Leonardo.ai, part of the Canva family, is already using DGX Cloud on AWS to develop advanced design tools.
AWS Water Cooled Data Center with NVIDIA Blackwell
New AI servers benefit from liquid cooling to more efficiently cool dense computing chips, improving performance and energy efficiency. AWS has developed a solution that provides configurable liquid-to-chip cooling throughout your data center.
The cooling solution announced today seamlessly integrates the air and liquid cooling capabilities of the most powerful rack-scale AI supercomputing systems, such as the NVIDIA GB200 NVL72, as well as AWS network switches and storage servers.
This flexible multimodal cooling design provides maximum performance and efficiency for running AI models and will be used in the next generation of NVIDIA Blackwell platforms.
Blackwell is the foundation for Amazon EC2 P6 instances, DGX Cloud on AWS, and Project Ceiba.
NVIDIA advances physics AI by accelerating robotics simulations on AWS
NVIDIA is also expanding the reach of NVIDIA Omniverse on AWS with NVIDIA Isaac Sim, now running on high-performance Amazon EC2 G6e instances accelerated by NVIDIA L40S GPUs.
Available now, this reference application built on NVIDIA Omniverse allows developers to simulate and test AI-driven robots in a physically-based virtual environment.
One of the many workflows that Isaac Sim enables is the generation of synthetic data. This pipeline is even faster from scene creation to data enrichment with the introduction of OpenUSD NIM microservices.
Robotics companies such as Aescape, Cohesive Robotics, Cobot, Field AI, Standard Bots, Swiss Mile, and Vention use Isaac Sim to simulate and verify robot performance before deployment.
Additionally, Rendered.ai, SoftServe, and Tata Consultancy Services are using Omniverse Replicator and Isaac Sim’s synthetic data generation capabilities to bootstrap perceptual AI models that power various robotics applications.
Advanced AI-based drug discovery with NVIDIA BioNeMo on AWS
Built to advance drug discovery, NVIDIA BioNeMo NIM microservices and AI blueprints provide fully managed biological data compute and storage designed to accelerate scientific progress in clinical diagnostics and drug discovery. Now integrated into AWS HealthOmics, a service.
This collaboration will give researchers access to AI models and scalable cloud infrastructure tailored to their drug discovery workflows. Several biotech companies are already using NVIDIA BioNeMo on AWS to power their R&D pipelines.
For example, Seattle-based biotech company A-Alpha Bio recently published research on biorxiv describing its collaboration with NVIDIA and AWS to develop and deploy an antibody AI model called AlphaBind.
Using AlphaBind via the BioNeMo framework on Amazon EC2 P5 instances with NVIDIA H100 Tensor Core GPUs, A-Alpha Bio achieves 12x faster inference speeds and over 108 million inferences in 2 months The call has been processed.
Additionally, SoftServe today launched Drug Discovery, a generative AI solution built on NVIDIA Blueprints that enables computer-assisted drug discovery and efficient drug discovery. This solution is set to provide faster workflows and will be available on AWS Marketplace soon.
Real-time AI Blueprint: Ready-to-deploy options for video, cybersecurity, and more
NVIDIA’s latest AI blueprints can be instantly deployed on AWS, providing easy access to real-time applications such as container security vulnerability analysis and video search and summarization agents.
Developers can easily integrate these blueprints into existing workflows to speed deployment.
Developers and enterprises use NVIDIA AI Blueprints for Video Search and Summarization to analyze real-time or archived video to answer user questions, generate summaries, and enable alerts for specific scenarios. Build a visual AI agent that can
AWS collaborated with NVIDIA to provide a reference architecture that applies the NVIDIA AI Blueprint for Vulnerability Analysis to enhance early security patching in continuous integration pipelines on AWS cloud-native services.
NVIDIA CUDA-Q on Amazon Braket: Quantum Computing in Action
NVIDIA CUDA-Q integrates with Amazon Braket to streamline quantum computing development. CUDA-Q users can use Amazon Braket’s quantum processors, and Braket users can take advantage of CUDA-Q’s GPU-accelerated workflows for development and simulation.
The CUDA-Q platform allows developers to build hybrid quantum and classical applications and run them on different types of simulated and physical quantum processors.
Preinstalled on Amazon Braket, CUDA-Q provides a seamless development platform for hybrid quantum-classical applications, unlocking new possibilities for quantum research.
Enterprise platform provider and consulting leader advances AI with NVIDIA on AWS
Leading software platforms and global systems integrators are helping businesses rapidly scale generative AI applications built with NVIDIA AI on AWS and drive innovation across industries.
Cloudera uses NVIDIA AI on AWS to power new AI inference solutions to help Mercy Corps improve accuracy and effectiveness of aid distribution technology.
Cohesity has integrated NVIDIA NeMo Retriever microservices into Cohesity Gaia, a conversational search assistant powered by generative AI, to improve recall performance for search extension generation. Cohesity customers running on AWS can take advantage of the NeMo Retriever integration within Gaia.
DataStax announced that Wikimedia Deutschland is applying the DataStax AI platform to make Wikidata available to developers as an embedded vectorized database. The Datastax AI platform is built with NVIDIA NeMo Retriever and NIM microservices and is available on AWS.
Deloitte’s C-Suite AI now supports NVIDIA AI Enterprise software, including NVIDIA NIM microservices and NVIDIA NeMo, for CFO-specific use cases such as financial statement analysis, scenario modeling, and market analysis.
RAPIDS Quick Start Notebook now available on Amazon EMR
NVIDIA and AWS are also using RAPIDS Accelerator for Apache Spark to accelerate data science and data analytics workloads. This accelerates analytics and machine learning workloads and reduces data processing costs by up to 80% without code changes.
RAPIDS Accelerator for Apache Spark quickstart notebooks are now available for Amazon EMR, Amazon EC2, and Amazon EMR on EKS. These provide an easy way to certify Spark jobs that are tuned to maximize performance for RAPIDS on GPUs, all within AWS EMR.
NVIDIA and AWS power next-generation industrial edge systems
NVIDIA IGX Orin and Jetson Orin platforms now seamlessly integrate with AWS IoT Greengrass to streamline the deployment and execution of AI models at the edge and efficiently manage large fleets of connected devices. This combination increases scalability and simplifies the deployment process for industrial and robotic applications.
Developers can now leverage NVIDIA’s advanced edge computing power using purpose-built IoT services on AWS to build secure, scalable environments for autonomous machines and smart sensors. To help developers take advantage of these features, a getting started guide created by AWS is now available.
This integration highlights NVIDIA’s commitment to evolving enterprise-ready industrial edge systems to enable rapid, intelligent operation in real-world applications.
See more of NVIDIA’s work at AWS: re:Invent 2024 through live demos, technical sessions, and hands-on labs.
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