Built for scale
Purpose-built GPU infrastructure across global data centers. Designed for density, reliability, and long-term operation.
Infrastructure built against committed demand
Most GPU infrastructure is built speculatively, disconnected from the enterprises that need it. Dapple builds infrastructure against committed demand. Every deployment is anchored to real workload requirements before construction begins.
The result: faster deployment, lower cost of capital, and infrastructure that's operational from day one.
Infrastructure at a glance
Every deployment follows the same validated architecture. Standardized for reliability, optimized for AI workloads.
GPU Architecture
Latest-generation accelerators with high-density liquid cooling.
Networking
400G+ zero-loss fabric designed for large-scale distributed training.
Power
Integrated energy planning from site selection through operation.
Regions
North America, Europe, Middle East, and Southeast Asia. In-region execution for data sovereignty.
How we build
Demand-Led
Capacity is deployed against real enterprise commitments. Nothing gets built on speculation.
Modular
Standardized, repeatable compute blocks. Each deployment follows the same validated architecture.
Coordinated
Power, capital, hardware, and construction planned in parallel. Not sequentially.
Global deployment. Local control.
Deploy private AI infrastructure in-region to meet regulatory, residency, and latency requirements.
Availability is customized per customer requirements.
From requirements to production
Every deployment follows a structured path. Requirements are locked before design begins. Infrastructure is validated before workloads run.