Advisory & architecture
Feasibility, technical due diligence, reference architectures and system design.
NEON · AI FACTORY ENGINEERING
One accountable engineering partner for the GPU systems, fabrics, control planes and operations that turn accelerated compute into working capacity.
AI infrastructure engineering, cloud platform integration and lifecycle services from Viable Cloud Pty Ltd.
THE COMMERCIAL PROBLEM
Investors, developers, cloud providers and neocloud operators all have to turn accelerated-compute investment into capacity that works and earns.
The hard problem is coordination. GPU systems, high-speed fabrics, storage, control planes, virtualisation, customer services and operational assurance must come together across many suppliers, customers and engineering teams.
THE NEON PROPOSITION
Neon designs, integrates and readies AI Factories, then engineers how they run. We work across the physical infrastructure and the cloud platforms that expose GPU capacity to your customers.
An engagement can begin with a focused assessment or one subsystem work package, then expand into a multi-domain programme.
WHO WE SERVE
FIVE INTEGRATED SERVICE DOMAINS
Each domain stands on its own as a work package, and each connects to the others. The codes link to the services in the catalogue below.
Feasibility, technical due diligence, reference architectures and system design.
GPU compute, fabrics, storage, connectivity and commissioning.
Provider infrastructure APIs and automation, and tenant-facing cloud provisioning.
GPU virtualisation, Kubernetes, Slurm and service lifecycle.
Asset and configuration management, attestation, facility integration, observability and SRE.
WHY NEON
We design the AI Factory end to end. Compute, network, storage, orchestration, cooling integration and operations are engineered together, so no single silo is optimised at the expense of the rest.
The Neon AI Factory Architect design suite, storage sizing utilities, the Anubis workload modelling package and reusable engineering methods speed up well-defined design work.
Hands-on experience architecting, integrating and qualifying neocloud GPU infrastructure.
Delivery teams are assembled from Neon specialists and qualified third parties to match the contracted scope.
We deliver to NVIDIA Cloud Partner (NCP) reference architectures, and we design tailored builds at the leading edge of AI Factory engineering.
HOW AN ENGAGEMENT WORKS
Every engagement follows five stages, each closing on something you can review and agree.
Clarify business outcomes, deployment constraints, decision authority and project readiness.
Agree scope, interfaces, responsibilities, acceptance criteria, dependencies and deliverable milestones.
Assign delivery leads and specialists, confirm vendor and customer dependencies, and present a validated project plan for agreement.
Produce documented, validated designs, integrations and testable artefacts, with change and technical decisions governed throughout.
Demonstrate acceptance, working proofs of concept and pilot deployments, remediate exceptions, and hand over documentation and operations.
COMMERCIAL ENGAGEMENT FORMATS
SERVICE CATALOGUE
Each service can be scoped on its own or combined into a programme. The first conversation usually settles which one comes first.
| CODE | SERVICE | SCOPE | DOMAIN |
|---|---|---|---|
| NAF-01 | AI Factory Architecture & Technical Due Diligence | Feasibility, reference architecture and design review | Advisory |
| NAF-02 | GPU Compute Cluster Engineering | Accelerated compute systems and cluster design | Core infrastructure |
| NAF-03 | AI Network Fabric Engineering | East-west, north-south, storage and management network design | Core infrastructure |
| NAF-04 | AI Storage Architecture & Performance Engineering | WEKA, VAST, DDN, Dell PowerScale | Core infrastructure |
| NAF-05A | Infrastructure Control Plane Engineering | Bare-metal, virtualised and container management control planes | Control planes |
| NAF-05B | Customer Control Plane & Self-Service Cloud | Customer-facing orchestration with Rafay and Apache CloudStack | Control planes |
| NAF-06 | Configuration State & Asset Management | Hardware identity and configuration lifecycle | Security & operations |
| NAF-07 | Observability, Telemetry & Management | GPU hardware platform, storage, integrated cooling and power monitoring | Security & operations |
| NAF-08 | Firmware Integrity, Attestation & Security Integration | Trusted computing for systems such as GB300 NVL72 | Security & operations |
| NAF-09 | Liquid Cooling Monitoring & Leak Detection Integration | IT–OT leak detection integration for DGX GB300 | Security & operations |
| NAF-10 | External Networking & Customer Connectivity | High-speed data centre interconnect and edge network design | Core infrastructure |
| NAF-11 | Commissioning, Qualification & Acceptance | Performance, stability and compliance validation | Core infrastructure |
| NAF-12 | AI Factory Operations & Reliability Engineering | Operating model design and implementation | Security & operations |
| NAF-13 | GPU Virtualisation Platform Engineering | MIG, vGPU, HAMi and GPU pass-through | Workload platforms |
| NAF-14 | Kubernetes & Multi-Tenant Platform Engineering | Multi-tenant Kubernetes platforms for GPU workloads | Workload platforms |
| NAF-15 | AI Workload Scheduling & Orchestration | Distributed training and inference engines, model routing and inference optimisation | Workload platforms |
NEXT STEP
Together we identify your project's stage, its main execution risks and the most useful first work package. Neon then proposes scope, schedule, commercial terms and acceptance criteria.