AI GPU deployment services
Andersen is an execution partner for physical GPU cluster deployment that covers rack, stack, cable, label, and test under a single chain of accountability. We close the gap between hardware delivery and a fully mounted, cabled, and documented AI cluster ready for commissioning.
What GPU deployment covers
Target customer profiles for GPU deployment services
Each customer segment has specific deployment scope, compliance expectations, and timeline constraints that shape the engagement model.
GPU-as-a-Service startups launching new regions or racing tenant deadlines need deployment execution that matches their timeline. The typical entry point is a readiness assessment before hardware arrives on-site.
Andersen delivers:
- Readiness assessment before hardware arrives on-site;
- Full rack, stack, cable, label, and test cycle;
- Structured handover aligned with tenant SLA timelines.
Anchor-tenant GPU contracts often exceed internal field capacity. Fiber dressing, patching, and testing per pod is the most common initial engagement, scaling to full deployment as needed.
Scope includes:
- Fiber dressing, patching, and testing on pod;
- Structured cabling compatible with existing infrastructure;
- Parallel execution across multiple halls when required.
Enterprises building private AI infrastructure under data residency and compliance requirements need structured documentation at every deployment phase, from readiness assessment through DCIM-ready handover.
Engagement covers:
- Readiness assessment with compliance documentation;
- Structured handover with photo evidence for audit;
- As-built deliverables formatted for DCIM integration.
OEM partners with overloaded internal field teams need a deployment subcontractor that follows vendor reference architecture and delivers PMO-level execution with per-rack accountability.
Services provided:
- Per-rack rack and stack with fiber testing;
- Vendor-neutral SOPs matching OEM reference architecture;
- Serial number capture and asset tracking per OEM standards.
Financial institutions deploying private Gen-AI for internal LLM stacks require regulatory-grade handover documentation, audit-ready photo evidence, and dual verification on every critical fiber link.
Delivery includes:
- Documented handover with photo evidence;
- Compliance-ready as-built package;
- Dual verification on every critical fiber link.
Active GPU deployment projects with a shortage of certified cable technicians benefit from T&M crews that integrate under the system integrator's project management and ramp up within days.
Available resources:
- T&M crews for cabling, patching, and fiber testing;
- Technicians working under the SI's project management;
- Flexible ramp-up and ramp-down based on project phase.
Get a concrete AI GPU deployment plan with scope, team, and timeline
How the physical layer is delivered
Andersen delivers the physical layer as a structured package with its own checklists, test equipment, and QA methodology for every AI cluster deployment.
Dressing and routing
Andersen separates power and optical routes, enforces minimum bend radius, and uses Velcro ties instead of cable ties on fiber to protect signal integrity.
Separate routes for power and optical lines;
Compliance with minimum bend radius;
Velcro ties instead of cable ties on fiber;
Service loops for future upgrades.
Patching
Andersen patches every port per the approved port-map and verifies critical links with a two-person check before closing out the connection.
Patching per approved port-map;
Two-person verification on critical links;
End-face inspection before every termination;
Connector cleaning prior to connection;
Polarity control for MPO and LC connectors.
SMF and MMF testing
Every fiber link is tested at two levels and each measurement is traced back to the port-map for full traceability during handover.
Insertion loss measurement (Tier 1) on all links;
OTDR trace analysis (Tier 2) on long-distance links;
MPO polarity verification;
Test report linked to port-map.
Liquid-cooled racks
Cabling, dressing, and labeling in layouts compatible with direct-to-chip cooling for NVL72, GB300, and Dell IRSS. DTC plumbing is handled by certified partners with defined scope and criteria.
Separate routes for coolant manifolds and fiber optics;
Service loops for manifold servicing;
Defined scope boundaries for DTC plumbing.
Why Andersen for GPU deployment
Andersen acts as a single accountable vendor with one PMO, one sign-off chain, and structured documentation delivered DCIM-ready.
Structured delivery
Andersen runs every GPU deployment through a deployment PMO with a RACI matrix, daily progress reports, punch list tracking, and formalized handover. No undocumented crews, no gaps in accountability.
Hardware-agnostic expertise
GPU deployments span NVIDIA reference architecture, Dell PowerEdge XE, HPE Cray, Lenovo ThinkSystem, and Supermicro. Vendor-neutral SOPs ensure consistent quality whether the project comes from an OEM or an enterprise.
Physical layer quality
Every fiber link is handed over with documented optical performance, not just a green LED. Dual verification, connector inspection, and OLTS/OTDR measurement are standard on every GPU cluster deployment.
Documentation that stays in operation
Cable matrix, port-map, serial number registry, and photo report are delivered in a format ready for DCIM or NetBox. No rework on the client side, no missing records after commissioning.
GPU cluster deployment case studies
Andersen delivers physical GPU deployment across enterprise clusters, multi-pod colocation builds, and OEM campus rollouts. Each project covers the full cycle through documented handover ready for commissioning.
AI Cloud Provider — 32-rack GPU cluster delivered ahead of SLA
A GPU-as-a-Service startup (under NDA) needed 256 GPU nodes across 32 racks deployed in a Tier III facility under an 18-day tenant SLA. Scope included readiness assessment, full rack-and-stack, installation of 8,500+ fiber patches, OLTS/OTDR validation, labeling, port-map reconciliation, and structured as-built documentation. Network configuration and cluster bring-up remained with the client's engineering team. Result: 99.2% first-pass fiber test rate, zero rework requests after handover, cluster commissioned 3 days ahead of deadline.
Colocation Operator — dual-pod parallel GPU deployment
A European colocation provider (under NDA) signed an anchor-tenant GPU contract covering two data hall pods. Internal field capacity could not support parallel installation without risking the tenant handover date. We deployed two synchronized crews with shared QA oversight, racked 48 cabinets, completed fiber dressing and patching per pod, and validated every link with OLTS before sign-off. Result: both pods were handed over within 14 days with zero punch-list items at final acceptance.
Enterprise FinTech — audit-ready private GPU cluster
A financial services firm (under NDA) built a private 64-node GPU cluster for internal LLM workloads under strict data residency and audit requirements. We delivered the full physical deployment cycle with dual verification on critical fiber links, per-rack photo evidence, and an as-built package structured for NetBox import. The handover documentation satisfied regulatory requirements without revision. Result: 100% asset traceability confirmed, cluster operational within 9 days.
OEM Partner — 240-rack GPU campus rollout support
A server OEM (under NDA) needed additional certified cable technicians for a 240-rack GPU rollout across a US data center campus. We provided T&M deployment crews operating under the OEM’s project management, following vendor reference architecture and rack-level work packs. Scope covered physical deployment, fiber dressing, patching, labeling, per-rack QA checks, and documentation consistency across zones. Fiber testing included 14,000+ patches with OTDR traces on long-distance links. Result: 34% faster timeline versus the OEM’s internal baseline, consistent documentation across all racks.
Reduce your GPU cluster commissioning timeline with Andersen's deployment team
GPU deployment pricing models
Three engagement structures based on project scale, scope clarity, and procurement requirements. Representative price ranges are available under NDA.
How Andersen delivers end-to-end GPU deployments
Six phases from discovery to signed-off AI cluster, each with defined entry criteria, deliverables, and acceptance gates.
The discovery phase covers cluster size, site conditions, design status, acceptance criteria, and project risks. The output is a shared understanding of scope, timeline, and potential blockers that both sides agree on before moving forward.
FAQ
The full physical GPU cluster deployment cycle covers rack, stack, cable, label, and test. The scope includes:
- Deployment readiness assessment with site audit and cable BOM review;
- Rack and stack of GPU servers, switches, storage, PDUs, and cable managers;
- Power and network cabling, fiber dressing, patching, OLTS/OTDR testing, labeling, and as-built documentation handover.
Order a free consultation
What happens next?
An expert contacts you after having analyzed your requirements;
If needed, we sign an NDA to ensure the highest privacy level;
We submit a comprehensive project proposal with estimates, timelines, etc.
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