NVIDIA and AWS Deepen Partnership to Accelerate AI Innovation – From Agents to Robotics
Teh collaboration between NVIDIA and Amazon Web Services (AWS) is entering a new phase, designed to dramatically simplify and accelerate the journey from AI prototype to production deployment. This expanded partnership provides developers with a comprehensive toolkit, covering everything from building intelligent agents to pioneering advancements in physical AI and robotics. LetS explore how these advancements benefit you and your organization.
Streamlining Agent Advancement & Deployment
Building complex AI agents requires robust infrastructure and tools. Now,you have more options than ever:
* Strands Agents: For streamlined agent development and orchestration.
* NVIDIA NeMo Agent Toolkit: Deep profiling and performance tuning to optimize your agents.
* Amazon Bedrock AgentCore: Secure and scalable infrastructure for production-ready agents.
This integrated approach ensures a predictable path, reducing friction and accelerating time-to-market. It builds upon existing successful integrations, including NVIDIA NIM microservices, NVIDIA Riva for speech AI, and NVIDIA bionemo for biopharma applications – all working seamlessly with Amazon SageMaker and amazon Bedrock.
Powering the Next Generation of Applications
AWS’s continued integration with NVIDIA technologies isn’t limited to agents. You can now deploy agentic AI, speech AI, and scientific applications faster than ever before. This is thanks to a robust ecosystem that includes:
* NVIDIA NIM microservices: Optimized for performance and scalability.
* NVIDIA riva: Delivering cutting-edge speech AI capabilities.
* NVIDIA BioNeMo: Accelerating innovation in biopharmaceutical research.
accelerating Physical AI with Simulation and Real-World Deployment
Developing AI for the physical world – often called “physical AI” - presents unique challenges. It demands high-quality datasets and robust simulation environments for testing before real-world deployment. NVIDIA and AWS are addressing these challenges head-on.
NVIDIA Cosmos World Foundation Models on AWS
NVIDIA Cosmos world foundation models (WFMs) are now available on AWS, offering a significant leap forward for robotics development. Here’s how you can leverage them:
* Real-time Control & Simulation: Access Cosmos WFMs as NVIDIA NIM microservices on Amazon EKS for responsive robotics control and simulation.
* Batch Processing & Synthetic Data: Utilize Cosmos WFMs on AWS Batch as containers for large-scale synthetic data generation – crucial for training robust robot models.
These generated world states can then be used to train and validate robots using industry-standard tools like NVIDIA Isaac Sim and Isaac Lab. This closed-loop system dramatically accelerates the development cycle.
Robotics leaders Embrace the NVIDIA-AWS Ecosystem
Leading robotics companies are already benefiting from this collaboration. Agility Robotics, Agile Robots, ANYbotics, Diligent Robotics, Dyna Robotics, Field AI, Haply Robotics, lightwheel, RIVR, and Skild AI are leveraging the NVIDIA Isaac platform with AWS for:
* Data collection, storage, and processing.
* Robot training and simulation.
* Scaling robotics development efforts.
A Continued Commitment to Innovation
NVIDIA’s dedication to the AWS ecosystem was recently recognized with the AWS Global GenAI infrastructure and Data Partner of the Year award. This award highlights NVIDIA’s leadership in supporting generative AI with vector embeddings, data storage, and synthetic data generation.
Want to learn more? Join NVIDIA and AWS at AWS re:Invent in Las vegas (running through December 5th) for in-depth sessions and demonstrations.
This partnership isn’t just about technology; it’s about empowering you to build the future of AI. By combining NVIDIA’s cutting-edge AI platforms with the scalability and reliability of AWS, we’re unlocking new possibilities for innovation across a wide range of industries.
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