01
SOC 2 Type II
Scope: bare-metal compute, fabric, and managed storage
SECURITY BY DESIGN
Security is part of the infrastructure, from the first node.
Dedicated bare-metal capacity, documented controls, and clear compliance scope. See how data and hardware are handled across the life of your cluster.
COMPLIANCE FRAMEWORKS AND CONTROLS
Know the scope behind each assurance.
Review the frameworks and terms that apply to your cluster. Contact us for current reports and service scope.
02
ISO 27001:2022
Certified — all datacenter sites
03
HIPAA
BAA available on dedicated clusters
04
GDPR
EU region with in-country data residency
FROM HARDWARE TO DATA
Controls across the cluster lifecycle.
Dedicated infrastructure limits shared exposure. Configured controls cover access, data protection, and hardware release.
- 01 · INFRASTRUCTURE
Hardware dedicated to your operation
Compute, networking, and storage are physically dedicated to your cluster.
- 02 · ACCESS
Identity and activity controls
Enterprise sign-in, hardware-key authentication, and immutable audit logs support controlled access.
- 03 · DATA LIFECYCLE
Protection through hardware release
Encryption at rest, secure erasure, and certified destruction of retired storage media.
OPERATIONAL CONTROLS
Protection that carries through release.
Review the current reports and scope with our team as you plan deployment.
- 01
Hardware, networking, and storage physically dedicated to your operation
- 02
Encryption at rest and secure data erasure when hardware is released
- 03
Certified destruction of retired storage media
- 04
Enterprise sign-in, hardware-key authentication, and immutable audit logs
Security & compliance
Need the latest reports and scope?
Review the current security materials before planning deployment or a procurement review.
Is GPU pricing per GPU or per node?
Published HGX prices are in USD per hour for a complete node with 8 GPUs, within a monthly or yearly reservation. NVL72 systems are quoted per rack. Taxes are not included.
Which NVIDIA GPU should I choose for my AI project?
Compare GPU memory, network requirements and your training or inference workload. The hardware section lists H100, H200, B200, B300 and full rack systems. Our team can help size a configuration based on your model, dataset and capacity requirements.
Can I use a dedicated cluster for training, fine-tuning and inference?
Yes. TensorBay offers dedicated NVIDIA GPU infrastructure for model training, fine-tuning and inference. You can work with Slurm, Kubernetes or SSH and configure the software environment for your workload.
What happens after I request a quote?
Share the GPU, capacity and reservation term you need, or describe your project. Our team reviews the requirements and prepares a proposal within 48 hours, including configuration and delivery timing. Capacity and final terms are confirmed in the proposal.
08Give your idea room to grow
Build on a foundation your team can review.
Tell us about your deployment and compliance requirements. We will help map the infrastructure scope and the materials available for review.
- A configuration built around your project
- A proposal with a delivery timeline
- Acceptance testing before you start