Hyperstack
Secure Private Clouds
Built for AI That Can’t Take Risks
Run your most critical AI workloads on a secure cloud infrastructure. Hyperstack offers Secure Private Clouds that deliver fully isolated, high-performance environments where security, compliance and control are built in.
Deploy where you want. Comply with what you need.
Why Compliance is Not Optional
AI needs scale. Regulated data needs isolation.
Hyperstack Secure Private Clouds provide dedicated, single-tenant infrastructure with zero shared resources and full control. Every environment is custom designed for your performance, security and compliance needs, so you can innovate quickly without compliance risk.
A Private Cloud That Works Like Hyperstack But Fully Yours
You get the full Hyperstack experience, extended into a private environment:
On-demand simplicity
High-performance GPU infrastructure
Familiar tooling and workflows
But with complete isolation, secured governance and more control.
Why Deploy on Hyperstack’s Secure Private Clouds
True Single-Tenant Infrastructure
Your workloads run on dedicated hardware with no shared GPUs, no noisy neighbours, no cross-tenant risk. Get predictabl performance, stronger security boundaries and simplified compliance.
Data Residency and Compliance by Design
Deploy your cloud exactly where you need it. Keep data and processing within your chosen region to meet GDPR and other regulatory requirements.
Private Access, Full Auditability
Enforce strict access policies with region-specific personnel controls and detailed audit logs. Maintain full visibility and traceability to support internal governance and external regulatory audits.
No Hidden Subprocessors. No Surprises.
You always know who has access to your infrastructure, models and pipelines. No third-party exposure with full transparency.
AI-Optimised Performance at Scale
Power large-scale training and real-time inference with enterprise GPU clusters including NVIDIA HGX H100, NVIDIA HGX H200 and NVIDIA Blackwell GB200 NVL72/36 with Quantum InfiniBand and high-speed NVMe storage.
Deploy Anywhere Without Compliance Compromise
Deploy anywhere you want without worrying about compliance hurdles. On Hyperstack, Secure Private Clouds are fully custom, purpose-built for your regulatory and performance needs.
Frequently Asked Questions
Our product support and development go hand in hand to deliver you the best solutions available.
What is a Secure Private Cloud?
A Secure Private Cloud on Hyperstack is a fully dedicated, single-tenant cloud environment built exclusively for your organisation. It provides complete infrastructure isolation with no shared hardware or external tenants, while delivering the same Hyperstack performance, tooling and operational experience, customised to your security, compliance, and performance requirements.
How is a Secure Private Cloud different from Hyperstack On-Demand?
Hyperstack On-Demand operates in a multi-tenant environment with strong isolation while Secure Private Clouds extends the platform into a fully private, single-tenant deployment. This gives you dedicated hardware, governance controls, custom compliance configurations and full transparency, ideal for regulated or sensitive AI workloads.
Can I choose where my Secure Private Cloud is deployed?
Yes. Secure Private Clouds can be deployed in the region of your choice to meet data residency and regulatory requirements. Compliance frameworks such as GDPR or industry-specific controls can be baked directly into the deployment.
Who has access to my data and infrastructure?
Only authorised personnel defined by your access policies can access your environment. Hyperstack Secure Private Clouds provide strict access controls, region-specific restrictions, and detailed audit logs for full visibility, accountability and compliance with regulatory standards.
What workloads are Secure Private Clouds ideal for?
Secure Private Clouds are ideal for training and deploying large language models, fine-tuning proprietary AI models, real-time inference and handling sensitive or regulated datasets. With enterprise-grade GPUs, high-speed networking and dedicated resources, they support high-performance AI workloads at scale without compromising security or compliance.