Drag. Drop. Wire it up. Launch.
Create real, runnable datacenter environments from a clean visual canvas, not a pile of scripts and YAML.
CanvasFoundry is more than “GPU hosting”. Compute, network, storage, and security snap together as composable building blocks with AI-grade compute built-in, without requiring a team of platform engineers.
GPUs are everywhere. Usable AI infrastructure isn’t. CanvasFoundry closes the gap between “we bought compute” and “we can deliver outcomes” without a platform reboot.
Your infrastructure becomes a reusable asset. Create once, then load, export, version, and replicate across teams and customers, consistently and fast.
Extend your existing datacenter, create a new datacenter, bring your existing applications and data to AI. No retooling. No migration to ‘their’ cloud and API. All point-n-click.
A virtual datacenter turns compute, wiring/cabling, storage, AI, and networking into software, so you can spin up what you need, scale instantly, and stay secure without the usual overhead. No forklift upgrades. No waiting on racks. Just the infrastructure your business needs, delivered as a service. You have full control.
Days just to provision a server in some legacy enterprise environments
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Of organizations are expected to adopt hybrid cloud by 2027, meaning complexity is the default, not the exception
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Of organizations are already experimenting with AI agents, but most still haven’t scaled enterprise-wide. The gap is operational. not ideas.
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Of enterprise GenAI pilots deliver zero measurable P&L impact. Enterprise are failing turning pilots into operations. They left the business workflow behind.
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AI is forcing every company to rebuild their datacenter, right now.
Hybrid isn’t a transition anymore. It’s the operating model. And GenAI is pouring fuel on the fire: more compute, more networks, more security, more orchestration… with zero tolerance for “18-month migrations.”
CanvasFoundry requires no retooling or rebuild of your apps or datacenter
Every “AI-ready” plan collides with the same wall: legacy apps + VMware + networks + security + Kubernetes + GPUs live in different worlds.
So teams spend months rebuilding environments instead of shipping value, and pay for complexity the whole way.
CanvasFoundry bridges AI infrastructure with your existing apps/networks/security/data.

CanvasFoundry lives in an impressive security-focused datacenter with 4-foot exterior granite walls. Designed to Tier III/IV standards, with redundant connectivity and both on-site power generation and protection.

CanvasFoundry runs on carrier-grade fiber uplinks to four major Internet backbones.

The datacenter sits within easy reach of Boston and Providence.
The GPUs exist. The promise is real. But most AI clouds still demand you rebuild your world to use theirs. New platforms, new ops, new access models, usually boiled down to SSH or a Kubernetes key. That’s not the future. That’s retooling.
CanvasFoundry flips it: we bring AI infrastructure to your platform, not your platform to AI infrastructure. Drag in your existing VMs and servers. Drop in GPUs. Wire up real L2/L3 networking, firewalls, enclaves, air-gapped segments, and VPN links to other sites. Click. Run.
This is Datacenter-on-Demand. Software that turns AI from a science project into an operating model. Like the mouse made computing point-and-click, CanvasFoundry makes AI infrastructure point-and-deploy, and gives your existing datacenter the AI edge.

In the rush to “go AI,” the industry didn’t deliver infrastructure, it delivered a rewrite.Most AI clouds demand you retool your workflows, refactor your stack, and conform to their platform before you ever touch a GPU.

Multi-tenant isolation & networking model
GPU scheduling/quotas/MIG
“Drag-and-drop datacenter” UX
Sovereign & disconnected patterns
Integrated observability & reproducibility (“digital rack”/environment as artifact)