Bring your cloud
Deploy the VeriStamp and VeriBOX layer into your existing GCP, Azure, or AWS account. Your data never leaves your tenant. We ship Terraform and a Helm chart; you keep the keys.
VerifAI is infrastructure-agnostic. Pick your cloud, pick your GPUs, pick your hosting region. Our stack is a thin verifiable layer — VeriStamp and VeriBOX — that attaches on top of what you already run.
Deploy the VeriStamp and VeriBOX layer into your existing GCP, Azure, or AWS account. Your data never leaves your tenant. We ship Terraform and a Helm chart; you keep the keys.
Train on NVIDIA or AMD, on-prem or in a colo, on reserved capacity or on serverless GPU (RunPod, Modal). The verify layer attaches to the training loop, not to the vendor.
Pick the hosting region that fits your compliance surface — EU data residency for GDPR, US for SR 11-7 shops, Japan for METI, region-locked for defence. VerifAI runs where you run.
These are the providers our customers most often deploy on today. The list is deliberately open: if your stack runs Kubernetes and standard object storage, VerifAI runs on it. All logos below are placeholders in this mockup build.
Vertex AI, GKE, TPU pools, EU regions.
Azure OpenAI, AKS, confidential compute.
Bedrock, EKS, SageMaker, Nitro Enclaves.
H100 / H200 / B200, DGX Cloud, NIM microservices.
MI300X / MI325X for training and inference.
On-demand and reserved GPU pods, per-second billing.
Python-native serverless training and inference.
VeriStamp attaches to your training runs and produces a signed evidence record. VeriBOX wraps your deployed model and produces a signed decision log. Neither replaces your cloud, your orchestrator, or your GPU vendor — they sit on top and make the run provable.
That is the whole reason VerifAI is portable: the verify layer never needed to own the compute.