Dapple Private AI Cloud

Dapple delivers an Azure-native Private AI Cloud for enterprises and governments running regulated and mission-critical AI workloads.

Built to integrate natively with Microsoft Azure, Dapple extends Azure’s AI services into dedicated, single-tenant, in-region GPU infrastructure. Customers use familiar Azure tools and workflows while gaining strict control over where and how AI workloads are executed, governed, and operated.

Unlike shared cloud environments, Dapple is designed for organizations that require deterministic performance, enforced compliance, and operational accountability. Dapple governs AI workload execution across physical infrastructure, ensuring workloads run only when placement, isolation, and policy requirements are met. This preserves performance, data residency, and compliance for sensitive AI operations.

Dapple supports regulated environments across healthcare, finance, energy, telecommunications, pharmaceuticals, and public-sector use cases. Common workloads include large-scale AI training, low-latency inference, and secure research and development.

The Dapple Private AI Cloud combines Azure’s control plane with Dapple-operated dedicated GPU infrastructure. Infrastructure is deployed in-region to meet regulatory, residency, and latency requirements. It is engineered for sustained GPU utilization and predictable performance.

Dapple integrates with Azure Machine Learning, Azure Arc, Azure Monitor, Azure Policy, and Azure identity services. Workloads are deployed using existing Azure workflows, with procurement and billing handled through Microsoft Marketplace and existing Azure agreements.

Dapple provides a full-stack operational model that includes hardware procurement, deployment, orchestration, and ongoing management. Operations are delivered by Dapple engineering teams and backed by defined service-level agreements, enabling enterprises and governments to operate trusted AI systems with confidence.

https://www.wetransact.io/