DOC. 01 — CAPACITY OVERVIEWREV 2026.06
For the CTO or CIO running on the last of the team's bandwidth

You're not behind on strategy.
You're out of hands to build it.

Cinetix.AI embeds certified CTOs, CIOs, and engineering leads directly into stretched teams — alongside the AI infrastructure, network engineering, and model work that's been waiting on a hire that hasn't happened yet.

FIG. 01 — CAPACITY TOPOLOGYNODES: 6 · TOPOLOGY: HUB-SPOKE
CINETIX CORE CIOSTRATEGY CTOARCHITECTURE TECHLEADDELIVERY ENGLEADTEAM BUILD PRODPMROADMAP PROJPMDELIVERY
TRACK RECORD
30+ YRS
DOMAIN
HPC / DATA CENTER
COVERAGE
DESIGN → OPERATE
DEPLOYMENT
EMBEDDED / ON-DEMAND
AI & Security Management

Security and scale, bundled — not two more vendors to manage.

The work that's hardest to staff in-house: securing the models you've already shipped, and building the compute and storage layer underneath the ones you haven't.

AI Model Security

Red-teaming, access control on inference endpoints, and guardrails before a model ever touches production traffic.

Security Expertise & Management

Security leadership on demand — architecture reviews, incident response playbooks, and audits led by people who've carried the pager.

Compliance & Certification Mapping

NIST AI RMF, ISO/IEC 42001, SOC 2 — mapped to what your auditors actually ask for, not a generic checklist.

High-Capacity Compute & Storage

The infrastructure large models actually need to run on.

Three decades of data center design applied to the workloads that punish shortcuts.

Supercomputing & HPC Clusters

GPU fabric design — InfiniBand, RDMA, topology-aware scheduling for training runs that can't afford idle nodes.

High-Speed Storage

Parallel file systems and NVMe-over-fabric tuned to keep GPUs fed instead of waiting on I/O.

Capacity Planning

Right-sized compute and storage forecasts, so you're not over-provisioned or caught short mid-run.

What We Build

The infrastructure layer, engineered properly — not patched again.

AI Infrastructure Design & Build

Compute strategy, architecture, and deployment pipelines sized for real model workloads — not slideware.


GPU PLANNING / MLOPS / DEPLOY

Network Engineering Resources

Hands-on engineering for routing, segmentation, and high-throughput backbone — the layer everything else depends on.


ROUTING / SEGMENTATION / THROUGHPUT

Model Development

From proof-of-concept to production — fine-tuning, evaluation, and integration into systems people actually use.


FINE-TUNE / EVAL / INTEGRATE
DOC. 05 — LIVE VIEW

This is the engagement itself, not a mockup.

Every embedded engagement reports into a live status grid — so you always know exactly where capacity stands.

FIG. 02 — NODE STATUS GRID96 NODES MONITORED
CRITICAL ALERT STABLE
DOC. 02 — ROLE SPECIFICATION

Six roles. One hub. Deployed on your terms.

Scoped to the actual gap — not a headcount line.

01
Fractional CIO
LEADERSHIP / GOVERNANCE
Executive technical strategy, board-level reporting, and vendor decisions from a 30-year operator — without a full-time executive hire.
02
Fractional CTO
ARCHITECTURE / ROADMAP
Platform architecture and technical roadmap ownership, grounded in hands-on infrastructure and AI systems experience.
03
Technical Lead
SYSTEMS DELIVERY
Direct leadership on infrastructure builds and data center design — people who've run the work, not just advised on it.
04
Engineering Lead
TEAM EXECUTION
Team build-out and execution oversight for technical builds under real delivery pressure.
05
Product Manager
ROADMAP / ALIGNMENT
Stakeholder alignment and roadmap discipline for complex technical products.
06
Project Manager
DELIVERY / BUDGET
Schedule and budget control, with reporting your stakeholders can actually use.
DOC. 03 — TRACK RECORD

Three decades in the room where infrastructure gets built

A1
Full data center design — power, cooling, network topology
A2
Leading implementations for research and supercomputing environments
A3
AI infrastructure strategy and deployment
A4
Enterprise technology leadership across IT, sales engineering, and operations
A5
Vendor evaluation, procurement strategy, and lifecycle management
A6
Building and scaling technical teams under real delivery pressure
DOC. 04 — ENGAGEMENT MODEL

How a Cinetix engagement runs

STEP 01 / ASSESS

Assess

We scope the actual gap — the specific decision-making or delivery capacity your organization is missing right now.

STEP 02 / PROVISION

Provision

We match you with the right embedded leader, sized to the engagement — days per week, defined scope, clear deliverables.

STEP 03 / INTEGRATE

Integrate

Your embedded resource works inside your team and tools — operating like staff, not an outside consultant.

STEP 04 / SCALE

Scale

Capacity flexes with your roadmap — scale up through a build phase, step down once systems are stable.

cinetix://engagement/newSTATUS: LISTENING

Request a working session.

A data center buildout, a research compute environment, or a leadership gap — let's define the capacity you actually need.

> contact --email hello@cinetix.ai
Email hello@cinetix.ai