The Full-Stack Private AI Cloud
for the Fortune 500
Programmable, sovereign, and custom-built
Dapple delivers end-to-end private AI infrastructure for enterprise teams that need full control, performance, and scale.
Dapple for Enterprise
Customizable Private
AI Environments
Dedicated clusters tuned to your security & workload needs
Federated Cloud
Architecture
Extend compute to partners/orgs with governance built-in
Integrated Hardware
Delivery
GPUs sourced, provisioned, deployed by Dapple
Full Software Stack
Orchestration, monitoring, workload automation
White-Glove Support
Onboarding + SLA enforcement handled end-to-end
How We Deploy — White-Glove AI Cloud Built Around You
Dapple doesn’t offer generic provisioning. Every deployment is designed around your location, security posture, performance needs, and operational model.
Sovereign-Aligned Locations
We deploy in Tier III+ data centers across Europe and other trusted regions. You can specify the geography, or we’ll recommend based on power, regulation, and latency.
Hands-On Delivery
From GPU acquisition to racking, config, orchestration, and production launch — Dapple runs the process.
Delivery Models
Choose from Infrastructure-Only, Dapple-Managed Stack, or Full Custom Cloud — including onboarding, access control, and SLA enforcement.
Time to Launch
Most deployments are operational within 30–45 days, including onboarding and SLA configuration.
Why Dapple
Dapple is built for enterprises running AI workloads that require more control, customization, and regional alignment than standard cloud services typically provide. We don’t replace your hyperscaler — we operate alongside it, delivering infrastructure purpose-built for enterprise AI.
Whether you're deploying sensitive models, managing partner access, or building sovereign infrastructure, Dapple extends your AI stack with the performance and governance your enterprise actually needs.
Hyperscalers
→ Shared or multi-tenant clusters
→ General-purpose orchestration
→ U.S.-centric hosting model
→ Fixed service models
→ Internal team access
Dapple (in parallel)
→ Fully private GPU environments
→ AI-specific orchestration + custom SLAs
→ Sovereign deployments across EU & beyond
→ Custom infrastructure + procurement options
→ Federated compute access across orgs
