Enterprise
Enterprise AI infrastructure provides organisations with dedicated, contracted GPU compute capacity — engineered for security, compliance, and managed services — enabling AI deployment at production scale without capital expenditure.
Enterprises face a fundamental mismatch: AI adoption requires dense, liquid-cooled GPU capacity that most legacy data centers cannot provide. Building purpose-built AI facilities requires USD 50–200 million in capital, 18–24 month construction timelines, and specialised operational expertise that most enterprises do not possess.
Enterprise AI infrastructure solves this by providing dedicated GPU capacity under long-term contracts — similar to a real estate lease — with enterprise-grade security, compliance certifications, and managed services included.
Constellation offers two enterprise models: dedicated bare-metal GPU clusters (single-tenant, air-gapped optional, highest security) and contracted multi-tenant GPUaaS (shared infrastructure with logical isolation, cost-optimised). Dedicated clusters suit government, defence, and regulated industries; multi-tenant GPUaaS suits research, development, and non-sensitive workloads.
Both models include SLAs for GPU availability (99.5%+), network performance, and support response times, providing enterprises with production-grade reliability without infrastructure ownership.
Enterprise AI infrastructure must meet industry-specific compliance requirements: SOC 2 Type II, ISO 27001, HIPAA (healthcare), PCI-DSS (fintech), FedRAMP (government), and regional data sovereignty mandates. Constellation's facilities are designed for compliance from the ground up — with physical security, network segmentation, audit logging, and data residency controls.
For government and defence clients, air-gapped deployments with dedicated power, cooling, and physical security perimeters are available, meeting sovereign AI and national security requirements.
Learn how you can participate in the AI infrastructure investment opportunity across the UAE, GCC, and India.
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