Sub-second provisioning
Reserve a 4×H200 box and have a CUDA-ready endpoint in under 800ms. No queue, no spin-up theater.
ATLAS AI CLOUD0%
ATLAS AI CLOUD · NEW YORK
We give engineering teams the AI infrastructure they'd build if they had three more quarters. Production-grade compute. Open-weight models with SLAs. A data plane that respects your perimeter.
SCROLL TO ASSEMBLES14 · M3 · 192F
PRODUCTION-READY AI INFRASTRUCTURE
You shouldn't need a six-person platform team to put one model in production. Atlas is the GPU compute, the open-weight model gateway, the vector + relational data plane, and the security perimeter — composed, instrumented, on-call, and accounted for in a single contract.
THE PLATFORM
Four primitives. One contract. Zero platform tax.
Atlas ships as four composable primitives — compute, models, data, and perimeter — that work alone and compose into a complete production stack. You pick the surface area you need. We hand you the unit economics in writing.
WHY ENGINEERING TEAMS PICK ATLAS
Four guarantees, in the master service agreement.
These aren't marketing claims. They're contractually-binding service levels we sign, and we credit back the entire month if any of them slip.
Unit economics that hold
Per-second billing on actual silicon. No hidden ingress, no surprise multipliers, no $40,000 line items.
Built for your perimeter
Bring your own VPC. Customer-managed keys. Audit streams to your SIEM. We are guests in your environment.
Engineers on-call, not chatbots
Founding engineers in your Slack at 3am. P0 SLA: 5-minute human response, signed in the master service agreement.
BY THE NUMBERS · LAST 12 MONTHS
Production-grade isn't a label. It's a contract.
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Platform availability — last 12 months
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Median first-token latency
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Sub-second GPU provisioning
HOW WE WORK
A four-quarter operating rhythm.
Atlas is a long-arc partnership, not a self-serve product. From the first architecture review through quarterly cadence, here's the rhythm.
01
Architecture review
A two-hour working session with our founding engineers. We map your inference workload, data residency, and unit economics — and tell you honestly if Atlas is the right fit.
02
Private capacity reservation
We reserve dedicated H200 or B200 capacity in your region, peer to your VPC, and exchange CMK material. Production-grade from hour one.
03
Migration with engineers in-room
Our team is in your codebase, in your Slack, and on your standups for the first 30 days. We don't disappear after onboarding — we move in.
04
Quarterly architecture cadence
Every quarter, a structured review of your inference economics, latency budget, and roadmap. Optimization is a contractual rhythm, not a sales motion.
WORKING WITH ENGINEERING TEAMS IN PRODUCTION
Architecture review is on us. Two hours with our founding engineers, an honest read on your platform, and a fixed quote within five business days.