The architecture behind Vertex Grid: compute, storage, networking, and control software co-designed into a single cloud computer — delivering the simplicity and scalability of the cloud with the control, economics, and sovereignty of infrastructure you own.
Traditional infrastructure is built from separate servers, storage, and networking components that must be integrated and managed independently. Each layer ships from a different vendor, with its own firmware, management tooling, and support contract — and the burden of making them work together falls on you. Public cloud providers proved there's a better approach: design the entire system as one platform, where hardware and software are engineered together.
Rack-Scale Cloud Systems (RSCS) bring that model to infrastructure you own. Instead of assembling a rack from a dozen products, an RSCS is delivered as a single, coherent machine: compute, storage, networking, and control software are co-designed and shipped as one unit. The result behaves like a slice of public cloud — elastic, API-driven, multi-tenant — but it runs in your own data center, on hardware you control outright.
As AI and data-intensive workloads continue to grow, Rack-Scale Cloud Systems are becoming the foundation of the modern data center — combining cloud velocity with on-premises control, economics, and sovereignty.
An RSCS is a rack-scale computer where compute, storage, networking, and the control plane are designed as a single system — giving you a private cloud you own, not a pile of components you integrate.
For decades, teams chose between owning hardware or renting cloud — and both demanded compromise. RSCS is the third option that keeps the upside of each.
Six layers, designed together as one machine — not bolted together after the fact.
Hardware and software co-designed and shipped as a unit — no integration project, one vendor accountable for the whole rack.
Self-service, on-demand compute, storage, and networking through API, CLI, and console — the cloud workflow your teams already know.
Hardware root of trust, open firmware, and cryptographic tenant isolation — a verifiable, auditable chain end to end.
A one-time purchase with no per-core licensing, no surprise bills, and no egress fees — typically about half the TCO of public cloud.
Your data stays in your authority, on hardware you own and can verify — built for regulated and sensitive workloads.
Shared power and cooling engineered at rack scale dramatically cut energy use compared with assembled infrastructure.
How a Rack-Scale Cloud System compares with traditional on-prem and the public cloud across the dimensions that matter.
| Dimension | Traditional on-prem | Public cloud | Rack-Scale Cloud System |
|---|---|---|---|
| Procurement | 8+ separate vendors | Self-service rental | One integrated system |
| Integration | DIY, brittle | Pre-integrated by provider | Co-designed hardware + software |
| Operations | Many tools, high overhead | Abstracted away | One control plane, cloud-native APIs |
| Ownership | You own the hardware | Rental only, forever | You own it outright |
| Cost model | CapEx + heavy licensing | Variable + egress fees | One-time, predictable, no egress |
| Security | Patchwork, opaque firmware | Trust the provider | HW root of trust, open firmware |
| Scaling | Procure & rack for months | Elastic, on-demand | Elastic on owned capacity |
| Data sovereignty | In your DC, fragmented control | In provider's jurisdiction | Fully in your authority |
| Time to first instance | Weeks to months | Minutes (rented) | ~2 hours (delivery → live) |
Anywhere ownership, latency, economics, or control are non-negotiable.
Run data-intensive pipelines and low-latency inference on hardware you control — without shipping sensitive data to a third party.
Bring runaway cloud spend back in-house while keeping the elastic, API-driven workflow your teams expect.
Run regulated and sensitive workloads on hardware you can verify and own outright, with a full audit chain.
Secure, multi-tenant infrastructure for HPC, data staging, and orchestration tooling at rack scale.
Co-designed hardware and software as a one-time purchase — no renewals, no licensing meters running in the background.
Dedicated runners with security baked in at a fixed cost — no metered minutes, no noisy-neighbor builds.
It's a rack-scale computer in which compute, storage, networking, and the control plane are co-designed and delivered as one integrated system. It behaves like a private slice of public cloud — elastic and API-driven — but runs on hardware you own in your own data center.
HCI converges compute and storage on commodity servers but still relies on a separate hypervisor license, a separate switch, and assembled components. An RSCS goes further: the hardware, firmware, networking switch, and cloud software are engineered together as a single product, with a unified control plane and no per-core licensing.
No. RSCS is built around open, standard interfaces — provision via API, CLI, or console and use the tools you already know. Open-source firmware and a verifiable security chain mean you can audit what runs on your own hardware.
Because the system arrives pre-integrated, you go from delivery to provisioning the same afternoon — typically around two hours. Add power and networking, and start creating instances. No multi-month integration project.
AI/ML training and inference, sovereign and regulated workloads, cloud repatriation, high-performance computing, hypervisor/VMware exit, and CI/CD — anywhere ownership, predictable cost, low latency, or data control matter.
Tell us about your workloads and our engineers will scope a Vertex Grid deployment — typically provisioned the same afternoon it arrives.