Deploy NVIDIA Omniverse
- on AWS
Accelerate your digital twin and Physical AI initiatives with the UME.Studio collaboration platform, deployed directly within your AWS environment and get the training and support you need to realize its value quickly.
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From Complex Architecture to Rapid Value
Architecting an environment for NVIDIA Omniverse is a significant undertaking. It requires integrating virtual workstations, real-time streaming, multiple AI microservices, and specialized data storage on accelerated compute. The time spent designing and securing this complex infrastructure delays adoption and the value these tools bring to your organization.
UME.Studio on AWS simplifies this process. We provide a complete collaboration suite for digital twin and Physical AI workflows built on NVIDIA Omniverse. Our AWS-certified experts work with your team to architect and deploy the platform in your own AWS account, ensuring it meets your specific security and operational needs from day one.
Omniverse
Experts
As an NVIDIA Education Partner, we have demonstrated expertise in deploying and enabling NVIDIA Omniverse. Our solution simplifies the adoption of this powerful real-time 3D collaboration framework, and our team provides the training necessary for your organization to succeed.
Benefits of UME.Studio in Your AWS Account
Deploying UME.Studio in your own environment provides control and flexibility.
Maintain Data Sovereignty. Keep your project data and proprietary information within your own AWS account and under your control.
Protect Intellectual Property. Use familiar AWS security controls, like AWS Identity and Access Management (IAM), to enforce strict access policies for your most sensitive projects.
Meet Custom Compliance Requirements. We work with you to design a solution architecture that meets your organization’s unique security and compliance standards.
Optimize Cost Management. Gain direct visibility and control over the cloud spending associated with your digital twin and AI workloads.
Simplify Setup and Adoption. Our expert-led setup process reduces the burden on your team and helps your users get started faster.
Powering Physical AI and Digital Twin Workloads
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Manufacturing
Create a physically accurate digital twin of your factory to simulate and optimize production lines, reducing costly change orders and minimizing downtime.
Construction
Visualize and simulate entire construction sites to optimize project schedules, improve site logistics, and enhance worker safety before breaking ground.
Defense
Develop and test autonomous systems in physically accurate simulations of real-world environments, accelerating innovation and improving mission readiness.
Powered by AWS Services
The UME.Studio platform is built to run on secure and scalable AWS infrastructure, providing a robust foundation for your digital twin and AI workflows. We leverage AWS for its unparalleled access to the latest NVIDIA GPUs, ensuring your virtual workstations and AI infrastructure always have the accelerated compute power required. This global network minimizes latency for distributed teams, enabling seamless, real-time collaboration. With AWS's comprehensive security features and inherent scalability, your UME.Studio deployment can grow securely with your organization's increasing demands.
AWS IAM
Allows you to securely manage access to your platform resources and data, enforcing your organization's security policies.
AWS VPC
Creates a private, network within AWS, ensuring your stringent security and compliance requirements.
AWS EC2
Provides scalable, accelerated compute for virtual workstations and AI workloads, ensuring optimal performance for your teams.
AWS S3
Delivers durable and scalable object and vector storage for project data and AI assets, keeping your IP safe and accessible.
