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Institutional Sovereign Pod

Run AI in production with greater control using the Institutional Sovereign Pod

Bring NVIDIA accelerated computing and Palantir AI together on a governed private cloud engineered and operated by Rackspace.
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AI for Controlled Environments

Keep proprietary intelligence within your AI environment

Your data, models, operational context and institutional knowledge inform the decisions that drive your operations. As you apply that proprietary intelligence to enterprise AI, you need greater control over where those assets reside and how they are used.

The Institutional Sovereign Pod brings together governed private cloud, NVIDIA accelerated computing, Palantir AI, engineering and Rackspace managed operations in one environment.

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Built for Compliance

Bring technology and operations together to run sovereign AI in production

 
NVIDIA
 

AI Foundation

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Accelerated computing and Nemotron open models provide the foundation for demanding enterprise AI workloads.

 
Palantir
 

Operational Intelligence

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Foundry, AIP and Ontology connect enterprise data, operational context and workflows to support AI-driven decisions.
 
Rackspace Technology
 

Environment and Operations

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Private cloud infrastructure, engineering and managed operations provide the environment to run and manage AI in production.
NVIDIA + Palantir

Advance sovereign AI for enterprise operations

NVIDIA and Palantir recently introduced a sovereign AI architecture combining NVIDIA Nemotron open models with Palantir Foundry, AIP and Ontology. Their announcement identifies Rackspace as an environment where organizations can deploy the architecture.

Read announcement
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Control without the operational outcomes

Maintain control without operation every layer yourself

Keep your team focused on AI priorities while Rackspace takes responsibility for the infrastructure and ongoing operations behind the environment.

  • Maintain control of your data and intelligence: Keep proprietary data and institutional knowledge in an environment designed around your governance requirements.
  • Run AI in private cloud: Deploy AI in a dedicated environment designed for security, performance, governance and operational control.
  • Rely on one accountable operator: Rackspace provides the engineering and managed operations to support the complete AI environment in production.
  • Move AI into production: Run AI with an operating model designed around resilience, governance and ongoing management.
Built for regulated and mission-critical operations

Bring sovereign AI to your industry's most critical operations

The Institutional Sovereign Pod gives regulated organizations greater control over data, models and institutional intelligence, with the infrastructure, governance and operational accountability to run AI in production.

  • Financial services: Apply AI to consequential workflows while maintaining greater control over sensitive data, models and the environment where they run.
  • Healthcare and life sciences: Support sensitive AI workloads with greater control over data and models across highly regulated environments.
  • Government and critical infrastructure: Deploy AI with the sovereignty, security and operational control required for sensitive and mission-critical environments.
  • Manufacturing: Apply AI to operations where decisions rely on proprietary data, operational context and institutional expertise.
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Request an assessment

Tell us about your organization and AI priorities. A Rackspace specialist will follow up to discuss your environment and potential next steps.

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Find your path to production

See how your Institutional Sovereign Pod can create value in your environment

Start with a focused use case and a clear view of what it will take to support it. The Rackspace Sovereign AI Path to Production Assessment helps you evaluate a high-value AI use case against your data, infrastructure, security and sovereignty requirements, then define the architecture and operating model needed to move forward.

 

Step 1: Identify

Select a high-value AI use case.

Step 2: Evaluate

Review your data, infrastructure, security and sovereignty requirements.

Step 3: Define

Establish a target architecture and operating model.

Step 4: Prioritize

Define practical steps from use case to production.

Move forward

Request your assessment

Bring NVIDIA accelerated computing and Palantir AI together with Rackspace private cloud, engineering and managed operations in an environment built around your requirements.