Global Infrastructure
Global infrastructure for demanding enterprise workloads
Rackspace data centers operate in the world’s most influential technical and financial markets, interconnected by a private network and staffed 24x7x365 by data center specialists. They support private cloud, sovereign workloads and enterprise AI for customers in more than 120 countries.
Infrastructure decisions shape workload performance and control
AI capacity
Power and space for AI in production
Production AI requires dense power, advanced cooling and infrastructure designed for accelerated compute. Rackspace has power capacity in its data centers today, along with 30 MW of AMD AI infrastructure planned for phased deployment to expand capacity for governed AI workloads.
30MW
AMD AI infrastructure planned for phased deployment
CPU + GPU
24x7x365

Data residency
Keep data within required boundaries
Resiliency
Resiliency designed into the infrastructure
Physical security
Power
Cooling
Air handling
Network
Specialist operations
Connectivity
Connect private cloud, public cloud and your facilities

Footprint
Interconnected data centers across three global regions and your locations
Americas
Europe
Asia-Pacific
Your locations
Compliance
Compliance frameworks for regulated workloads
Security and controls
Industry standards
Government
Quality and environment
Commitments
Commitments you can hold us to
Network availability
Power and HVAC availability
Hardware replacement
What runs here
What our global infrastructure supports
Private cloud
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Sovereign
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Enterprise AI Cloud
Production AI environments designed, built and operated to keep you in control
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FAQ
Frequently asked questions
Where are Rackspace data centers located?
How are Rackspace data centers designed for resiliency?
What availability commitments back Rackspace data centers?
Can Rackspace data centers support AI workloads?
How does Rackspace support data residency and sovereignty?
Which compliance standards does Rackspace support?
Place each workload where it runs best
Tell us what you run, where it needs to live and what requirements it has. A Rackspace infrastructure expert will help identify the location and infrastructure model for each workload.