Compute on African terms

The sovereign AI cloud, built and run by Africa.

Production AI on infrastructure we own: dedicated GPUs in modular solar-powered facilities, transparent rand pricing on commitment terms you choose, and data that never leaves South African jurisdiction.

Predictable pricing

Billed in ZAR

Solar-enabled

Pricing

One flat rate. In ZAR. The whole VM.

A dedicated GPU on a single commitment period. Egress, IOPS and throughput at zero, for the length of your term. The figure you budget against is the figure on the invoice.

Owned hardware, engineered end to end

Every layer (GPUs, storage, network, the building itself) is infrastructure Gigabrain owns and operates.

See the full platform

Compute

NVIDIA GPU architecture with elastic cloud orchestration

Storage & network

All-flash NVMe on a 200 Gbit/s fabric

Cloud management

Self-service quota, Kubernetes as a service, fixed-rate managed services

Resilient Facilities

Solar-integrated modular Tier III-spec facilities, with capacity that scales

Problem

AI teams are forced into a three-way trade-off

Global-standard performance, predictable budgets, sovereign control: today you pick two. And when nobody is confident the numbers will hold, projects are shelved rather than shipped.

Gigabrain removes the trade-off, built to complement the cloud you already run, not rip and replace it.

01
Your data leaves the jurisdiction
Running AI on foreign clouds pushes personal and financial data across borders; residency held together by contract clauses, not architecture.
02
Hidden line items make cost unknowable
Egress fees, IOPS surcharges and per-request charges: denominated in USD and swung by the exchange rate. The figure you budgeted is never the invoice you pay.
03
Shared capacity, someone else's queue
Multi-tenant slices of GPUs you can't inspect, with performance set by noisy neighbours and allocations that vanish when demand spikes.

The shift

AI is moving closer to the data

Three forces are pulling compute onshore, and they compound.

01Latency

Real-time fraud scoring, in-store video analytics and agent orchestration need inference next to the data. A round trip offshore breaks the use case.

02Data gravity

Data generated locally is compounding faster than the bandwidth to move it. Compute follows the data, never the other way around.

03Sovereignty

Regulators and enterprise buyers now expect AI on infrastructure they can audit and control. On-shore has moved from preference to baseline.

Comparison

Gigabrain vs. traditional GPU cloud

Sovereign compute that runs alongside your existing cloud estate, for the workloads that have to stay home. The difference is predictability: rand-denominated billing with no unexpected line items.

Gigabrain

Sovereign, on-shore

Traditional GPU cloud

Metered in USD, offshore

Billing predictability

A rand figure that holds for the term you commit to.

USD line items that move with usage and FX.

Billing model

Committed capacity runs unmetered. Scale on demand per VM-hour, in rand.

Every token, request and gigabyte on the meter, in USD.

Storage & egress

No egress fees, no hidden surcharges on IOPS allocations.

Egress per gigabyte, provisioned IOPS billed on top.

Provisioning

Self-service within your quota, with Kubernetes as a service. Scale without a ticket.

Quota requests and support queues before capacity moves.

Data residency

Physical, in Johannesburg. Enforced by hardware you can visit.

A region setting and a contract clause.

Deployment

Modular facility, live now. Onboarding in weeks.

Years for dedicated in-region capacity.

Next steps

Let's scope your workload

Tell us about your workload and we'll return a scoped, rand-denominated proposal within 48 hours.

Johannesburg