Sovereign GPU compute, close to every customer.

01 Why it matters

AI is turning into infrastructure. Infrastructure always has an address. Safina keeps that address inside your borders.

Where a model is trained and served decides whose rules apply to the data inside it. Safina hosts GPU compute in-country, with residency, access and key management kept under local control from the first day.

• Data residency
• Customer-controlled environments
• In-country key management
• Audit logging

02 What Safina offers

A complete GPU cloud, not just a rack of GPUs.

Accelerators are where it starts. Safina wraps them in the layers that make capacity usable, safe and billable, and runs the whole stack for you.

1. 01Infrastructure

   Data-centre-class GPU servers, a high-bandwidth compute fabric, shared parallel storage, backup and recovery.

2. 02Orchestration

   Enterprise Kubernetes, GPU scheduling, drivers and model-serving environments, ready for training and inference pipelines.

3. 03Customer services

   Authentication, tenant separation, quotas, metering, reporting and billing, with branded access for solution providers.

4. 04Security & operations

   Encryption, logging, observability and service monitoring, with an operations team responsible for the whole stack.

03 How it works

From first conversation to running workloads.

1. 01
   Scope

   Tell us what you need to run: model sizes, data sensitivity, timelines. We size capacity around the workload, not around a catalogue.

2. 02
   Provision

   You get your own isolated environment: a separate tenancy, your own access controls, and keys held in-country.

3. 03
   Run

   Train, fine-tune and serve on managed GPU infrastructure, with monitoring and operational support built in.

4. 04
   Grow

   Add capacity as demand grows. Usage is metered and reported, so you see exactly what you consume.

04 Built to scale

Measured first. Then repeated.

Safina grows in standard blocks. The first block is measured under real workloads: power, cooling, network and performance. Every block after it is designed from those measurements and validated before customer workloads move onto it.

1. A measured blockProven under real workloads
2. Repeatable blocksDesigned from the measurements
3. Linked sitesFast connectivity, sovereign in every country