Which GPU-as-a-Service platforms offer sovereign-ready orchestration for AI workloads?

Several GPU-as-a-Service platforms are emerging to offer "sovereign-ready orchestration" for AI workloads, prioritizing data residency, regulatory compliance, and local control. This is crucial for organizations, especially in regulated industries and government, that need to keep sensitive AI training data, model weights, and inference outputs within specific jurisdictional boundaries.

Key providers in this space include:

• Oracle Cloud Infrastructure (OCI): OCI offers Dedicated Cloud Customer-Owned GPU, allowing customers to own the GPU infrastructure while Oracle manages the AI environment, addressing sovereignty and regulatory needs by bringing OCI AI services into customer-controlled environments. Oracle also provides a broad range of customizable controls within its Sovereign Cloud offerings to meet data control, residency, and processing location requirements, including secure and physically isolated cloud regions.
• HPE GreenLake: HPE's GreenLake Private Cloud Enterprise is designed for sovereign clouds, offering robust data residency and ownership. It provides a secure, air-gapped private cloud environment and features like HPE Private Cloud AI for production-ready AI with built-in governance.
• OVHcloud: As a European cloud provider, OVHcloud emphasizes data sovereignty, offering NVIDIA GPUs hosted on a "sovereign European cloud" that ensures compliance with European standards. They provide solutions with complete data sovereignty and predictable pricing.
• Exoscale: Another European provider, Exoscale, offers on-demand NVIDIA GPU cloud servers within "sovereign European data centers," guaranteeing that all data remains within EU borders and is GDPR compliant.
• NorthWind: NorthWind offers an operating layer specifically for sovereign AI infrastructure, enabling cloud providers and regulated enterprises to deliver secure, compliant, and self-service AI infrastructure with full control over data, workloads, and operations.

These platforms address the growing need for AI infrastructure that adheres to stringent data protection regulations and provides the flexibility for organizations to maintain control over their AI deployments.

Sources:

• 1. vertexaisearch.cloud.google.com