CLOUD · AI · GPU

Build, run and scale across cloud, AI and GPU infrastructure.

Aminexus brings together cloud engineering, applied AI and access to global GPU capacity—shaped around your workload, region and commercial requirements.

Technology Partners

  • AWS Partner Network
  • Google Cloud Partner
  • Claude Partner Network — Anthropic
Coverage Multi-cloud

Architecture, migration, operations and governance across AWS, Azure, Google Cloud and hybrid environments.

Model No handoffs

Advisory, delivery, FinOps and operations stay connected through one delivery rhythm.

Delivery Outcome-led

Scope is shaped around business goals, operating constraints, risk and budget discipline.

Handover Client-ownable

Work concludes with documented environments, runbooks and decision records your team can operate.

The practice

One consulting team from strategy to production.

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.

What triggers a call

The recurring problems Aminexus is built to solve.

When cloud estates, AI systems and GPU commitments grow faster than governance, cost control or operating maturity, small issues become expensive constraints.

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 diagnostic

A migration is planned, but the risk feels high.

The target architecture, cutover plan, dependencies and rollback path are not yet clear enough.

Start with a migration readiness assessment

Production works, but it feels fragile.

Incidents are handled by a few key people, while runbooks, monitoring and recovery procedures lag behind.

Start with an operations readiness review

The environment has grown, the governance has not.

Accounts, 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 review

An internal team needs reinforcement, not headcount.

Your engineers are strong, but high-stakes architecture, cost or operating decisions need deeper cloud judgement.

Start with retained technical partnership

A previous vendor left the environment hard to own.

Undocumented changes, tangled infrastructure code or managed support that now creates more drag than value.

Start with an environment review

An AI pilot works in the demo but stalls before production.

There 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 review

A GPU commitment was signed before the workload was characterised.

A 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 review

GPU spend arrives as one monthly invoice.

No 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 review
Capabilities

Capability depth across cloud, AI and GPU.

Start with one focused requirement or combine capabilities around a broader programme.

Cloud strategy and delivery

Architecture, migration and modernisation shaped around the environment you have and the outcomes you need.

  • Architecture reviews and roadmaps
  • Migration and modernisation planning

Cloud operations and FinOps

Operational practices and cost controls that improve visibility, resilience and accountability.

  • Cost visibility and optimisation
  • Operational resilience and governance

AI opportunity and readiness

Prioritise use cases against business value, data readiness, delivery risk and measurable success.

  • Use-case prioritisation
  • Data and delivery readiness

Applied AI systems

Knowledge systems, intelligent workflows and agent-based solutions designed with evaluation and human controls.

  • Knowledge and RAG systems
  • Agents and human checkpoints

GPU capacity access

Identify globally sourced H200, B300 and other suitable options based on workload, region, scale and timing.

  • Workload and region alignment
  • Representative H200 and B300 options

AI infrastructure enablement

Coordinate the cloud, storage, networking and operating environment surrounding accelerated workloads.

  • Storage, networking and cloud alignment
  • Deployment and operating readiness
Not sure where to start?

Book a 30-minute scoping call.

Share the immediate priority, whether migration, reliability, cost or capability. We will suggest the smallest useful engagement to move it forward.

How we work

One delivery model, adapted to the requirement.

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.

Frame the requirement

Define the outcome, workload, constraints, preferred region, timing and commercial priorities.

Design the right path

Evaluate the architecture, AI approach or infrastructure options and establish a clear delivery plan.

Coordinate and deliver

Bring together the required platforms, capacity and technical work with defined responsibilities and decision points.

Operate, optimise or hand over

Measure performance and cost, document the environment and agree the appropriate ongoing operating model.

Why Aminexus

Technical judgement with the flexibility to make delivery work.

One view across the stack

Cloud architecture, AI systems and GPU infrastructure can be evaluated together when useful—and independently when they are not.

Requirements before products

Recommendations begin with the workload and business outcome, not a predetermined platform, model or commercial structure.

Flexible routes to delivery

Aminexus can work within your existing environment or coordinate the platforms and capacity needed for the engagement.

Decisions your team can own

Clear scope, documented decisions, operating visibility and practical handover reduce long-term dependency.

Frequently asked

Questions clients commonly raise before engaging.

Engagements generally fall into focused advisory, defined delivery projects and retained technical-partner support. When the right shape is not clear, we define it together during a scoping conversation.

We support AWS, Microsoft Azure and Google Cloud, along with the surrounding IT environment: identity, networking, security, operations, vendor strategy and platform choices. When a workload is better suited to a specific platform, we make that recommendation clearly.

FinOps usually begins with a diagnostic covering spend profile, tagging, ownership and primary cost drivers. The output is a prioritized improvement plan with practical next steps for cost visibility and accountability.

Yes. Remote delivery, structured written communication and async collaboration are part of the delivery model. We define working cadence, ownership and escalation paths at the start.

Access follows least-privilege principles and is scoped to the engagement. Where possible, work is performed through dedicated roles, client-approved change processes and documented handover.

Yes. Many engagements sit alongside internal teams and other vendors. Responsibility boundaries, communication paths and artifact ownership are defined clearly before delivery starts.

Availability is confirmed only after the workload, configuration, region and timing have been reviewed. H200 and B300 are representative options, not standing inventory promises.
Contact

Start with the environment you have today.

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

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