PRIVATE AI INFRASTRUCTURE. BUILT AROUND THE WORKLOAD.
Run production inference, private AI and high-performance engineering workloads without building an AI infrastructure team.
SS Advanced benchmarks the workload, deploys the compute and manages the infrastructure across shared, reserved, dedicated or customer-owned capacity.
Provider and production capacity are selected after workload benchmarking. Deployment location, isolation and service levels are confirmed in the agreed project scope.
Start with a measured requirement. SSA then manages the appropriate deployment model—from a production endpoint to infrastructure the customer owns.
01MANAGED INFERENCE
RUN THE MODEL. NOT THE INFRASTRUCTURE.
Deploy production AI behind a managed endpoint without operating the GPU stack yourself. SSA handles the infrastructure required to meet an agreed workload specification across appropriate compute capacity.
Reserved AI infrastructure for organisations that require predictable capacity, workload isolation, privacy and defined operating responsibility. SSA defines the workload, contracts the required capacity and operates the deployment against an agreed service level.
THROUGHPUT
Measured demand
LATENCY
Agreed target
AVAILABILITY
Defined service level
RESIDENCY
Deployment constraint
COMMITMENT
Capacity and contract term
For banks, insurers, telcos, BPOs, enterprises and AI companies with predictable demand. SSA translates the operating requirement into the appropriate infrastructure.
For organisations that require customer-owned infrastructure, SSA can define, source, integrate and verify GPU compute, networking, storage and supporting systems around a measured workload.
A single operating relationship can move from an early deployment to dedicated infrastructure as demand, privacy and economics change.
01 / SHARED
Variable workloads and early deployments.
Pay for what runs.
→02 / RESERVED
Predictable production workloads.
Commit capacity. Improve economics.
→03 / DEDICATED
Private infrastructure for one organisation.
Defined capacity. Defined SLA.
→04 / CUSTOMER-OWNED
Infrastructure engineered or operated by SSA.
Own the asset. Keep the operating layer.
THE WORKLOAD CHOOSES THE COMPUTE
Not every megawatt is equal.
Different workloads optimise for different constraints. Batch processing may prioritise cost. An interactive agent may prioritise latency. Industrial vision may need inference at the machine. A regulated enterprise may need dedicated infrastructure. Engineering simulation may prioritise memory and throughput.
SS Advanced benchmarks the workload first, then selects infrastructure around the constraint that matters. We design location around performance and data-governance requirements, without assuming different silicon delivers equivalent useful work.
Architecture is selected after benchmarking. These are deployment options—not a claim of installed capacity or partnerships with every accelerator vendor.
Before committing to GPUs or cloud capacity, establish what the application actually requires.
SSA benchmarks the workload and defines a deployment architecture around the model, memory, throughput, latency, concurrency, data, residency, security, availability, utilisation and expected growth.
SHAREDvsRESERVEDvsDEDICATEDvsCUSTOMER-OWNED
DELIVERABLE / 001
A deployment specification, benchmark result, demand forecast and commercial architecture.
Send a non-confidential summary. SSA will respond to establish the first assessment scope.
COMPUTE WORKBENCH / DEMAND RECORD
Turn the requirement into a working project packet.
Capture the workload, demand forecast, commercial model and evidence in one record for your team, suppliers or SSA. Saving is optional; contact details are excluded from saved drafts.
Saving uses this browser’s local storage. Keep confidential documents in your own controlled storage. Resuming or importing replaces the open brief.
Section 1 of 4
TAKE THE NEXT STEP WITH SSA
Bring us the requirement.
Send the brief for a workload assessment and engineering scope review. We’ll establish the deployment, specialist partners and commercial terms needed for the project.
Submitting is a project enquiry. Capacity, testing, commissioning and ongoing support are agreed in a separate scope. No hardware reservation or financing approval is created.
FROM REQUIREMENT TO INFRASTRUCTURE
The engineering machinery under every product.
Brokerage is an implementation capability beneath the operating product. It remains rigorous, measurable and commercially transparent.
01 / SOURCE
Find qualified options.
Turn the workload, location and timing into a requirement that suitable capacity and equipment providers can answer.
02 / COMPARE
Compare like with like.
Align quote units, commitments, exclusions and rent-versus-own assumptions over the same operating period.
03 / VERIFY
Define a measurable result.
Set hardware, workload-performance and recovery checks before capacity or equipment is accepted.
04 / OPERATE
Plan beyond delivery.
Document deployment, operating ownership, support, escalation, recovery and handover.
COMMERCIAL ROLE / DISCLOSED PER ENGAGEMENT
Know who SSA represents and how we are paid.
BUYER-SIDE ADVISORY
SSA can define the requirement, compare options and support acceptance under a project fee agreed with the buyer.
BROKERAGE OR RESELLER
Where SSA receives a supplier, referral or reseller margin, that commercial role is stated before supplier selection.
PROJECT ENGINEERING
Deployment, integration, testing and handover are separately scoped around named responsibilities and acceptance criteria.
Capacity, availability, pricing and counterparty evidence are checked for each transaction. The public market map is research; it is not live inventory, supplier approval, credit approval or a promise of financing.
RENT / RESERVE / OWN
The right economics. For the same workload.
Compare deployments against equivalent measured performance, capacity and operating responsibility over the same period.
01 / CAPACITY COST
Price the complete deployment.
Include billed capacity, commitment, storage, network, licences, support, taxes and one-time charges. Keep productive demand separate from billed hours.
02 / OWNERSHIP COST
Account for the whole asset.
Hardware, integration, hosting, power, maintenance and financing charges belong in the same comparison. Resale value remains an explicit assumption.
03 / FINANCING EVIDENCE
Start with documented demand.
Record approved budgets, customer commitments, equipment and facility quotes, liquidity and payment security. Identify the evidence still needed for independent review.
Agree the workload, measurement conditions, pass criteria and acceptance owner before deploying production capacity.
01 / CONFIGURATION
Verify what was delivered.
Reconcile hardware, topology, drivers, software, model revision and precision against the agreed deployment specification.
02 / WORKLOAD PERFORMANCE
Test at representative load.
Measure throughput, latency distributions, concurrency, accuracy and errors. For streaming inference, include first-output latency and token generation performance.
03 / OPERATING RECOVERY
Prove the operating handover.
Record sustained-load behaviour, approved restart and recovery tests, monitoring, runbooks, escalation ownership and sign-off.
SSA maintains a source-linked view of compute supply, workloads and procurement signals across East Africa. Documented activity is separated from watchlist signals—and demand from actual contracts.