ELASTIC BY DESIGN

All the power.
None of the plumbing.

When your data is cleared to travel, the cloud is simply the better machine: frontier models on tap, training capacity by the hour, and someone else's electricity bill. NetRay architects it like owners , sovereign regions, cost ceilings, and an exit door, so “elastic” never quietly becomes “expensive.”

AWS GovCloud & Azure Government patternsCost ceilings, not cost surprisesNo vendor lock-in, exit plan includedFedRAMP-aligned architectures
AWS GovCloud Azure Government Bedrock Anthropic Claude SageMaker vLLM on EKS Terraform-first FinOps guardrails SOC 2 workflows Zero-retention API patterns AWS GovCloud Azure Government Bedrock Anthropic Claude SageMaker vLLM on EKS Terraform-first FinOps guardrails SOC 2 workflows Zero-retention API patterns

The cloud isn't expensive. Unmanaged cloud is.

Every horror story about a five-figure surprise invoice is a story about a system nobody put a thermostat on. And every story about “we can't use cloud AI, compliance said no” is usually a story about someone who asked a vague question and got a safe answer. The machine does neither. It reads your data classifications first, then builds to a budget with an off switch.

30–60%
typical waste in unmanaged AI cloud spend
Zero-retention
API options exist, most teams never turn them on
More than you think
sovereign regions cover more workloads than most CISOs assume

Architected like we pay the bill.

Five service lines. One outcome: elastic capacity that behaves like it has an owner, because it does.

Spot-instance orchestration with checkpointing so a preempted run never loses more than a few minutes of progress, monitored training telemetry, and weights delivered straight to your registry, not ours.

Spot orchestration & checkpointingWeights delivered to your registryTraining telemetry & eval gates
See the bridge to hybrid →

The Elasticity Dial

Drag the load. Watch nodes assemble, cost move, and the exact point where owned iron starts winning, we'll tell you when that's you.

Model class

Requests / minute2,500 rpm

Live capacity, 2 nodes

$ / month
$45,500
$ / 1k answers
$0.42
p95 latency estimate
262ms

Past the crossover. At this sustained load, on-prem iron would already beat this on cost. Here's that page →

Get this architecture costed

Not sure this is your data grade?

Run the same simulator the hub uses. If you select ITAR or CUI grades, it will happily point you toward on-prem or hybrid instead, that's the point.

1 · What grade of data are you holding?

2 · Try to move it.

Internal

Nothing here needs a bunker. Spend the budget on outcomes instead.

Everything you selected is cleared to travel. Elastic, sovereign-region cloud gets you speed without the compliance overhead of on-prem iron.

zero-retention API configstandard access controls

Illustrative. Your compliance officer outranks this widget, bring them to the assessment.

Zero-retention, the receipts

Contract clause: zero model-training retention

Config: response logging disabled by default

Audit: quarterly config review, receipts on request

Fallback: open-weight self-hosted path if a vendor ever changes terms

Ask us for the contract language during the assessment. We'll show you, not just tell you.

$8.4k/mo
serving 40k users (was $31k unmanaged)
0 bytes
retained by model vendors, verified in contract & config
4 days
greenfield → production Claude deployment
100%
of upgrades eval-gated before traffic shifts

“We went from a monthly invoice nobody could explain to a dashboard with a ceiling on it. The month we turned on the cache layer, spend dropped 37% and nobody noticed a change in answer quality.”

VP Engineering, mid-market manufacturer: Bedrock/Claude deployment (the same pattern RevRay runs on)

Frequently asked

Get elastic, keep control.

A 30-minute deployment assessment: your data grades, your growth curve, and a straight answer on what a managed cloud AI stack costs, with a ceiling on it from day one. Run by people who've shipped it, not sold it.

30 min with a founderCustom ROI estimateNo commitment

Typically responds within 4 hours