Cloud and IT spend is growing faster than the business.
Monthly invoices across cloud platforms, vendors and environments are rising without clear ownership or forecast.
Start with a FinOps diagnosticAminexus brings together cloud engineering, applied AI and access to global GPU capacity—shaped around your workload, region and commercial requirements.
Technology Partners



What we do
Engage Aminexus for a focused cloud, AI or GPU requirement, or combine capabilities where the workload benefits from a coordinated approach.
Architecture, migration, operations and governance across AWS, Azure, Google Cloud and hybrid environments.
Advisory, delivery, FinOps and operations stay connected through one delivery rhythm.
Scope is shaped around business goals, operating constraints, risk and budget discipline.
Work concludes with documented environments, runbooks and decision records your team can operate.
Most teams do not need a consulting firm that delivers a slide deck and leaves. They need a partner that understands the engineering and commercial picture, then stays close enough to make the plan real.
Aminexus is structured around that principle. We turn cloud complexity, constrained IT environments and opaque technology spend into a sequenced plan, then stay engaged through execution. Strategy, delivery, operations, FinOps and broader technology decisions sit inside one team.
The result is practical technology change: safer migration, clearer operating ownership, stronger governance and cost visibility that finance and engineering teams can both trust.
When cloud estates, AI systems and GPU commitments grow faster than governance, cost control or operating maturity, small issues become expensive constraints.
Monthly invoices across cloud platforms, vendors and environments are rising without clear ownership or forecast.
Start with a FinOps diagnosticThe target architecture, cutover plan, dependencies and rollback path are not yet clear enough.
Start with a migration readiness assessmentIncidents are handled by a few key people, while runbooks, monitoring and recovery procedures lag behind.
Start with an operations readiness reviewAccounts, IAM, tagging and guardrails were set for a smaller team and are no longer safe to keep scaling on.
Start with an IAM and guardrails reviewYour engineers are strong, but high-stakes architecture, cost or operating decisions need deeper cloud judgement.
Start with retained technical partnershipUndocumented changes, tangled infrastructure code or managed support that now creates more drag than value.
Start with an environment reviewThere is no evaluation set reflecting real traffic, no regression testing when a prompt or model changes, and no way to trace a bad answer back to its cause.
Start with an AI production readiness reviewA multi-year reservation carried at a fraction of its capacity — or frontier-tier GPUs serving inference that a prior generation would handle at materially lower cost per token.
Start with a capacity and commitment reviewNo cost per run, per model or per team — and with one provider, one region and one contract, no alternative quoted when the renewal lands on the desk.
Start with a GPU unit economics reviewStart with one focused requirement or combine capabilities around a broader programme.
Architecture, migration and modernisation shaped around the environment you have and the outcomes you need.
Operational practices and cost controls that improve visibility, resilience and accountability.
Prioritise use cases against business value, data readiness, delivery risk and measurable success.
Knowledge systems, intelligent workflows and agent-based solutions designed with evaluation and human controls.
Identify globally sourced H200, B300 and other suitable options based on workload, region, scale and timing.
Coordinate the cloud, storage, networking and operating environment surrounding accelerated workloads.
Share the immediate priority, whether migration, reliability, cost or capability. We will suggest the smallest useful engagement to move it forward.
Cloud, AI and GPU engagements follow different technical paths, but the same discipline: define the requirement, validate the fit, coordinate delivery and improve from evidence.
Define the outcome, workload, constraints, preferred region, timing and commercial priorities.
Evaluate the architecture, AI approach or infrastructure options and establish a clear delivery plan.
Bring together the required platforms, capacity and technical work with defined responsibilities and decision points.
Measure performance and cost, document the environment and agree the appropriate ongoing operating model.
Cloud architecture, AI systems and GPU infrastructure can be evaluated together when useful—and independently when they are not.
Recommendations begin with the workload and business outcome, not a predetermined platform, model or commercial structure.
Aminexus can work within your existing environment or coordinate the platforms and capacity needed for the engagement.
Clear scope, documented decisions, operating visibility and practical handover reduce long-term dependency.
Whether you are planning a migration, reviewing cloud spend, modernizing IT operations or looking for an independent view on an existing environment, Aminexus can help you clarify the next practical step.
Email: info@aminexustec.com