Private AI Infrastructure for DDIL Environments · Now on GSA through Carahsoft
Sovereignty isn't a setting. It's the architecture.
Gridlight is the private AI control plane for defense and public sector organizations where data can't leave the building and downtime isn't an option — delivering cloud-like AI outcomes on infrastructure your agency already owns, from garrison to the tactical edge.
Request a BriefingCarahsoft Technology Corp. is Gridlight's public sector distributor
Bringing private, on-premises AI infrastructure to Federal, Defense, State & Local, and Education customers — mission capable from garrison networks to disconnected, tactical edge deployments
Available Through Carahsoft
Private AI infrastructure, built for the mission — not the cloud
Gridlight is the abstraction layer between your agency and your AI — a private inference platform that runs on hardware you control, routes every request to the right model for the workload, and keeps your data exactly where it belongs: inside your perimeter.
Through Carahsoft's reseller network and contract vehicles, Federal civilian, Defense, Intelligence Community, State & Local, and Education customers can now deploy Gridlight without a single byte of mission data leaving their environment — including sites with no internet connection at all.
Genuinely on-premises
Not a private cloud tenancy. Runs with the network cable unplugged.
Hardware-agnostic
Deploys on the mixed, aging fleet your program already owns.
Live in 30 days
Deploy, prove, and expand on a scoped pilot — no 18-month IT program.
The Problem With Cloud AI in Government
Built for where cloud AI can't go
Three structural barriers stand between the public sector and commercial AI. Gridlight was architected to remove all three — not paper over them with a policy.
BARRIER 01
Data can't leave — and the network can't be trusted to
CUI, ITAR, classified, and mission-critical data have to stay inside the perimeter. And in DDIL environments — denied, disrupted, intermittent, limited — there may be no path out at all. Cloud AI, public or "in-tenant," was never built for either boundary.
BARRIER 02
Costs are unpredictable
Per-token billing turns adoption into a compounding, unbudgetable line item. Fixed appropriations need fixed, known costs — not a meter that runs with usage.
BARRIER 03
Every program rebuilds
N contractors, N tools, N compliance packages, N ATOs. Gridlight is the shared control plane every program and every use case runs on.
What That Means in Practice
Your perimeter, always
Six architectural facts — not policy promises — that make Gridlight deployable where cloud AI is a non-starter.
Built for DDIL
Denied, disrupted, intermittent, limited connectivity isn't a degraded mode here — it's the baseline design assumption. An air-gapped site. A ship. A forward operating base. A factory floor. No connection required, ever.
Your data stays yours
Nothing is uploaded, nothing trains anyone else's model, nothing crosses your firewall. This is architectural, not a policy promise.
It answers from your material
Not from what a model read on the internet years ago. Every answer cites the document and section it came from.
It uses hardware you already own
Mixed, aging, non-uniform hardware is normal and expected — not a problem to solve before you start.
One platform, many capabilities
Text, images, video, 3D, and audio in one system with one set of controls — not six vendors and six ATOs.
Costs are fixed and known
Licensed by the compute capacity you run, not by usage. Costs do not rise as adoption does.
Built for Every Stakeholder in the Program
