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GPU Cloud provides cloud-native access to current-generation GPU compute capacity through Constellation's CoreDC operating platform. Enterprise, sovereign, and AI-developer workloads can access contracted GPU-hour compute for model training, fine-tuning, and inference at scale — without the capital expenditure of owning hardware.
GPU-as-a-Service (GPUaaS) is the commercial model of renting GPU compute capacity on a per-hour or contracted basis. Constellation owns the physical GPU hardware — current-generation accelerators deployed in high-density, liquid-cooled facilities — and makes that capacity available as contracted GPU-hour compute through the CoreDC operating platform.
This model converts depreciating hardware into recurring, cash-generative revenue at strong gross margins. Multi-year offtake agreements with enterprise, sovereign, and AI-developer counterparties provide revenue visibility and protect against demand normalisation. The global GPUaaS market is forecast to grow from approximately USD 7.4 billion in 2026 to USD 34 billion by 2032, at roughly 29% CAGR.
Rent GPU compute capacity on a per-hour or contracted monthly basis through the CoreDC operating platform.
Contracted multi-year GPU-hour pricing with utilisation-driven yield and no hidden costs.
Dedicated GPU infrastructure for enterprises requiring security, compliance, and performance guarantees.
Enterprise-grade security, data sovereignty, and regulatory compliance frameworks.
Model training, fine-tuning, inference, and production AI deployment at scale.
Fast access to current-generation current-generation compute without capital expenditure.
Large-scale GPU clusters for training frontier and enterprise AI models, with high-speed interconnects and high-bandwidth memory.
High-throughput inference capacity for production AI deployment, with low-latency networking and auto-scaling.
Specialised compute for adapting foundation models to enterprise use cases, with flexible deployment models.
Dedicated GPU infrastructure for enterprises requiring security, compliance, and performance guarantees.
GPUaaS is the commercial model of renting GPU compute capacity on a per-hour or contracted basis. Constellation owns the physical GPU hardware and sells contracted GPU-hour capacity through multi-year offtake agreements, converting depreciating hardware into recurring, cash-generative revenue.
GPU Cloud pricing is based on contracted GPU-hour rates, with multi-year agreements providing better rates than on-demand access. Pricing varies by GPU generation, workload type, and contract duration.
A Private GPU Cloud provides dedicated GPU infrastructure for a single enterprise or organisation, offering security, compliance, and performance guarantees that shared cloud cannot match. This is particularly valuable for government, healthcare, and financial services workloads.
Constellation's GPU Cloud runs on current-generation 8-GPU platform platforms deployed in Supermicro SYS-822GS-NB3RT servers — eight accelerators per node, delivered through authorised distribution.
Contact our team to discuss contracted GPU-hour capacity for your workloads.
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