Inference that comes to your data
Most providers make you ship prompts to their cloud. HyperInfer deploys inside your compliance boundary instead — so sensitive data never leaves your control, whichever model you choose. Same OpenAI-compatible API across all of them.
Choose your model
Pick the boundary that fits your compliance posture
In your VPC
HyperInfer provisions and operates dedicated inference inside your own AWS, GCP or Azure account. We manage the GPUs, autoscaling and updates; your data never leaves your network.
| Model | Data boundary | Managed by | Time to live | Best for |
|---|---|---|---|---|
| In your VPC | Your cloud account | HyperInfer | ~1 week | Cloud-native teams wanting zero-ops |
| On-premises | Your datacenter | You + HyperInfer | 2–4 weeks | Strict locality, existing hardware |
| Private cloud | HyperInfer region | HyperInfer | 2–3 days | Fastest single-tenant start |
| Air-gapped | Isolated enclave | You (we support) | 4–8 weeks | Defense, classified workloads |
From zero to inference
A guided rollout, not a forum thread
A named solutions engineer owns your deployment end to end. Most VPC and private-cloud rollouts are serving production traffic within a week.
- 01
Scope
We size models, throughput and compliance needs with your team.
- 02
Provision
GPUs and networking stand up in your boundary or region.
- 03
Deploy
Models, gateway and keys are configured and connected.
- 04
Validate
Load tests, failover drills and a joint security review.
- 05
Operate
24/7 monitoring, updates and a named engineer on call.
Data residency
Pin inference to a region
For managed and private-cloud deployments, choose exactly where your workloads run. Requests never transit other regions or sub-processors.
- uae-centralDubai
- us-eastN. Virginia
- us-westOregon
- eu-westIreland
- eu-centralFrankfurt
- uk-southLondon
- apac-sgSingapore
- apac-sydSydney