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GA

Global AI

Global AI provides sovereign, air-gapped, liquid-cooled GPU data centers for demanding AI workloads. Our NVIDIA-certified infrastructure offers secure, scalable compute for foundation model training and inference, ensuring data control and optimal performance without capital expenditure.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional AI compute infrastructure often relies on shared, air-cooled environments, posing risks to data sovereignty and optimal performance for intensive AI workloads. This setup can lead to security vulnerabilities and thermal throttling, hindering the efficiency and reliability of AI-enabled operations.

Solution

Global AI delivers sovereign, air-gapped, and fully liquid-cooled GPU data centers designed for demanding AI workloads. Our NVIDIA-certified infrastructure provides a secure, scalable, and cost-effective alternative to public cloud providers, ensuring enterprises and nations maintain complete control over their data. By leveraging state-of-the-art GB200 Blackwell clusters and a single-tenant architecture, we guarantee enhanced performance, maximum uptime, and adherence to stringent data security and regulatory requirements. This approach allows organizations to access cutting-edge AI compute capabilities without the capital expenditure of on-premises deployments.

Target Audience

Our primary customers are enterprises and national entities requiring secure, high-performance AI compute infrastructure with guaranteed data sovereignty, particularly those in sensitive industries or with strict regulatory compliance needs.

Features

  • Air-gapped, single-tenant architecture for enhanced data security and sovereignty.
  • 100% liquid-cooled GPU data centers for optimal performance and sustained uptime.
  • NVIDIA GB200 Blackwell cluster integration for advanced AI processing.
  • NVIDIA AI-Certified full-stack reference design for seamless onboarding and compatibility.
  • Off-premise AI infrastructure-as-a-service model, reducing capital expenditure.
  • Secure, scalable compute solutions for foundation model training, fine-tuning, and inference.
  • Physical and logical separation from public cloud environments to ensure data isolation.
  • Bespoke enterprise-grade service with custom integration and white-glove provisioning.
This profile is AI-generated and may contain inaccuracies.