FROM SILICON TO SOVEREIGNTY, WITHOUT THE COMPLEXITY
Technology Stack,  From the rack out, 
Every Blaq Cat environment  Starts with the workload the GPU profile, data gravity, security posture and budget reality and then builds the infrastructure outward. We work shoulder-to-shoulder with tier-one partners (including Hitachi Vantara) to assemble a coherent stack: compute, data platform, mobility layer, observability and commercial model, all tuned to sovereign assurance and sustainability objectives. Audit-able. Defensible. Sovereign-aligned. Powered by Hitachi iQ
Designed Around the Workload
Traditional data centres start with a building and ask workloads to adapt, we do the opposite, every Blaq Cat deployment begins with:   - AI workload definition   - GPU class + density selection   - Cooling and resilience strategy   - Data gravity + mobility paths   - Security and compliance posture   - Commercial runway and budget cycle Only once this is understood…do we define the dome, IT POD layout, energy strategy, or scaling model. Result: Infrastructure shaped by business reality, not infrastructure forcing business reality.
AI Reality: Why This Matters Recent industry findings show that up to 90% of AI transformation initiatives fail to reach production and value stages, not because the models don’t work but because:
  Hardware was mis-sized upfront   Cloud spend ballooned without control Data wasn’t mobilised properly   Operational workflows weren’t ready  Budgets were front-loaded instead of phased
This is the gap we bridge. Because AI is no longer just:training models,  it’s applying them, deploying them, operationalising them, and measuring them. We align: - Workload intent  - Infrastructure reality  - Commercial viability  - Sovereign governance into a single deployable plan.
The Three Waves of AI (And How We Align Infrastructure)
Wave 1 — Application / Gen AIModels trained elsewhere are deployed locally to solve focused problems, search, summarisation, prediction, classification.
Wave 2 — Agentic AISystems can interpret context, reason, self-prompt and automate multi-step tasks end-to-end, with humans supervising outcomes instead of steps.
Wave 3 — Process / Physical AIAI becomes embedded into core business processes, continuously optimising operations, decisions, and outcomes across the entire organisation.
Blaq Cat + partners help customers architect infrastructure for all three, without overspending, over-building, or stalling between phases.
 Temporary On-Prem Compute     Scale softly. Learn early. Commit smart.      For organisations beginning their AI journey, we can deploy temporary on-prem compute environments using Sentinel-class PODs, aligned to Hitachi’s AI Discovery phase.        These can:            - Operate for early experimentation and prototyping            - Anchor your AI learning curve in-house            - Be scaled, made permanent, or removed once ROI is proven         This bridges the gap between:                    pilot AI → value-creating AI → enterprise AI         No sunk costs.         No architectural dead ends.
Non-Negotiable Technology Principles
GPU-Ready by DesignEngineered for dense AI servers, air or direct-liquid, with clear paths forward as GPU generations evolve. Jurisdiction-Aware Data MobilityPolicy-driven placement ensures data sits where it must, legally, economically and operationally.
Data Platforms Built for AI, Not Just StorageEnterprise block, file and object with compression, snapshots, replication and cyber resilience as standard, not add-ons. Observability from Chip to GridTelemetry across compute, cooling, power and security allows operators to see and prove performance.
Flexible Commercial AlignmentFrom classic CapEx to granular consumption models that track public-sector governance cycles and private-growth curves.
Example Stack Patterns (by Class)
Scale (MW)
Sovereignty Scope
Preferred Compute Patterns
Preferred Data Platform & Storage
Data Mobility & Workflow Layer
Commercial Posture
0.3–3
LAN-Local
Modular GPU clusters sized to on-prem envelopes.
Enterprise block + file + object.
Optional global sync if multi-site.
CapEx or light consumption.
4–10
County
Dense AI fabrics for civic & regional use cases.
High-availability data platform with immutability.
Data mesh across county lines.
Hybrid (CapEx + pay-per-use).
12–50
Regional
Multi-rack AI / SuperPOD-class topologies.
Active-active data services w/ metro replication.
Full data mobility + burst to cloud.
Region-scale private cloud.
52–100
National
National AI training + sovereign cloud.
Nation-resilient platform with layered cyber tiers.
Nationwide policy-driven data fabric.
Long-horizon sovereign models.
100+
Multi-Nation
Alliance or treaty-scale AI topologies.
Multi-region, multi-cloud secure layers.
Cross-border jurisdictional mesh.
Strategic joint-venture.
Typical Technology Building Blocks
Compute & AccelerationAI-optimised GPU servers and reference configurations for training, inference and mixed workloads.
Data & Storage PlatformUnified block / file / object from a single logical platform with cyber resilience.
Data Mobility & WorkflowGlobal namespace with policy-driven data locality and movement.
Operations, Observability & OptimisationAIOps, capacity intelligence, power analytics.
We design each stack with our strategic partners so that… Engineers see the right compliance signals CFOs see governance + ROI CEOs see transformation potential
How This Connects to Delivery Solutions defines where your compute lives. Technology Stack defines what lives there and how it behaves. Engagement Model defines how we get you there.Together, it’s not a data centre.It’s an AI capability system.
Deploy faster. Scale harder. Maintain predictability. If you want infrastructure built for real-world AI deployment, not generic capacity, Plan your stack with us.Book a joint workshop and map your workloads, ambitions and sovereign constraints into a concrete architecture.