Data never leaves
Prompts, completions and request logs stay inside your account. We handle control-plane metadata, never payloads.
Your infrastructure.Our control plane.
Deploy Abhigya inside your own AWS, GCP or Azure account. Prompts never leave your network, weights stay under your keys, and the GPU spend stays on your cloud bill.
Your account · your keys · your bill
Your cloud accountaws · us-east-1
Your VPC
Inference nodes8 × H100 SXM
Model weightsyour KMS key
Prompts and logsnever leave
control plane only
Abhigya control planemanaged by us
RoutingAutoscalingUpdatesMetering
- Data path
- in-VPC
- Per-token markup
- 0%
- Reference deploy
- ≈ 1 week
What you keep
Your perimeter stays yours.
AWS · GCP · AZURE
Your keys, your weights
Model weights are encrypted with your KMS key. Revoke it and the deployment goes inert, with no data at rest on our side.
Installs inside your perimeter
Your network policies, logging and access controls stay in force. We add inference capacity without redrawing your trust boundary.
Getting started
Live in about a week.
01
Connect your account
We provision the node pool, the networking and the registry mirror.
02
We deploy the control plane
The scheduler, autoscaler and attestation service install themselves. Your images and weights never leave your registry.
03
Point your API at it
The same OpenAI-compatible endpoint, now resolving inside your VPC. Roll back by flipping a DNS record.