APEX DaaS

Sovereign AI infrastructure. Dedicated to your business.

Fully managed AI infrastructure on an annual service model — with dedicated hardware, physical data isolation, enterprise security, and predictable costs. Unlike shared GPU clouds, every customer receives exclusive AI infrastructure deployed either on-site or within the APEX data centre.

Dedicated hardwareYour GPUs, memory and storage — exclusively 01
Two deployment modelsOn your site, or in the APEX data centre 02
Zero shared poolsNo multi-tenant GPUs, keys or logs 03
Annual service modelOne figure, one accountable owner 04
The APEX DaaS Lifecycle

From first conversation
to continuous intelligence.

Every engagement follows a proven seven-stage lifecycle — from discovery through deployment, operations, and continuous optimisation. It never ends; it compounds.

ONBOARDING Discover · Design · Deploy MANAGED SERVICE Operate · Optimise · Evolve ANNUAL Review & renew ANNUAL CYCLE · CONTINUOUS 1. Discover — Requirements analysis, workload profiling, compliance assessment. 1 DISCOVER Requirements, workload, compliance profile 2. Design — Architecture design, hardware selection, security blueprint. 2 DESIGN Architecture, hardware, security blueprint 3. Deploy — On-site or APEX data centre deployment, configuration and acceptance testing. 3 DEPLOY Install, configure, acceptance testing 4. Operate — 24/7 monitoring, patching, backup verification, SLA management. 4 OPERATE 24/7 monitoring, SLA, patching, backups 5. Optimise — Model tuning, capacity planning, performance reviews. 5 OPTIMISE Model tuning and capacity planning 6. Evolve — Hardware refresh, capability upgrades, new model onboarding. 6 EVOLVE Hardware refresh, new model onboarding 7. Renew — Annual review, contract renewal, roadmap planning. 7 RENEW Annual review and roadmap planning
  1. 1DISCOVERRequirements analysis, workload profiling, compliance assessment.
  2. 2DESIGNArchitecture design, hardware selection, security blueprint.
  3. 3DEPLOYOn-site or APEX DC deployment, configuration and acceptance testing.
  4. 4OPERATE24/7 monitoring, patching, backup verification, SLA management.
  5. 5OPTIMISEModel tuning, capacity planning, performance reviews.
  6. 6EVOLVEHardware refresh, capability upgrades, new model onboarding.
  7. 7RENEWAnnual review, contract renewal, roadmap planning.
  8. CONTINUOUSRenewal feeds the next discovery cycle — the lifecycle compounds rather than restarts.
What we deliver

A complete AI operating model.

Hardware, deployment, security, operations and continuous optimisation — bound by a single annual contract with a named service owner.

01
FOUNDATION

Dedicated Hardware

Customer-exclusive server, GPU, memory and storage. No multi-tenant resource pools.

02
DAY ONE

Deployment

Professional install, configuration and acceptance with As-Built documentation pack.

03
ONGOING

DaaS Operations

24/7 monitoring, patching, driver management, backup verification, capacity planning and monthly service reports.

04
SECURITY

Security & Access

Physical isolation, independent keys, ZTNA with MFA, independent audit, and default-deny network posture.

05
RUNTIME

Model Runtime

Certified vLLM runtime, model switching framework, version pinning, and unified API gateway.

06
LIFECYCLE

Lifecycle & Upgrade

Quarterly health reviews, capacity recommendations, annual renewal and upgrade planning.

Our commitments

What we build into every engagement.

These are not limitations — they are the commitments that make your infrastructure truly sovereign.

No shared GPU pools

Never. Every GPU, disk, key and log belongs to one customer only.

Physically dedicated infrastructure

Your compute, memory and storage are physically isolated. No multi-tenant resource pools.

Predictable costs

Flat annual fees. No surprise invoices based on token usage or seat count.

Annual service model

Long-term partnerships, not subscriptions. We have the runway to deliver real improvement.

Curated model library

Every model is licence-reviewed before deployment. Security over convenience.

Inference and fine-tuning

We serve production AI workloads, not foundation model training. Focused on what matters.

Two deployment models

You choose where your equipment lives.

Both guarantee dedicated physical hardware, physically isolated data, annual managed service, and sovereign architecture. The difference is who holds the asset and where it physically sits.

Customer owns hardware. Deployed in your environment. Data stays in your boundary.

HardwareCustomer purchase
Data boundaryYour perimeter
ComplianceFull data residency
ZTNACustomer-provided
Legal roleManaged service provider
COMMON TO BOTH MODELS
Dedicated hardware Physical isolation Annual managed service Sovereign architecture No shared resources
YOUR PREMISES SWITCH PSU A PSU B ENCRYPTED STORAGE DEDICATED RACK Your network Default-deny perimeter Your keys KMS under your control Your data Never leaves the site ON-SITE RESIDENCY ZTNA MFA · JIT REMOTE OPS 62% GPU 45% MEM 30% NET Health checks OK Patching scheduled Backup verified 24/7 MONITORED APEX control link Your data boundary Live telemetry
Mode A — the rack is yours and lives on your floor. APEX operates it remotely over an outbound ZTNA control link; your data, keys and network never leave your boundary.
Why APEX DaaS

Infrastructure that works
as hard as your AI.

Every engagement is bound by a single long-term contract with a named service owner.

That commitment is what makes the difference — from day one deployment through continuous optimisation and hardware refresh, you have one partner accountable for everything.

Capacity you can rely on

Know your compute, memory and GPU allocation for the entire year. No month-to-month uncertainty.

Continuous improvement

We iterate on your workload over time — model tuning, capacity planning, hardware refresh. Real improvement, not just a renewal.

Time to embed

AI takes time to become part of how you work. We have the runway to deliver transformation, not just access.

One figure, nothing hidden

Infrastructure, operations and support in a single annual cost. Not per-token, not per-seat, not per-hour.

APEX DaaS

One rack. One contract.
Zero shared anything.

Tell us the workload and the data boundary. We size the hardware, recommend the deployment model, and set out exactly what a year of managed service covers.

Talk to an APEX engineer