Revenue sooner
GPU capacity online in weeks, not months. Pre-integrated racks and parallel commissioning turn white space into earning capacity faster.
AI Datacenter Buildout & Support
Your GPUs earn nothing until they’re in production. We get them there faster and keep them running.
One accountable team from white-space to runtime: integrate, power up, validate and run high-density GPU capacity, trusted by Microsoft to build and support scale datacenters worldwide.
- ≈40% faster deployment with factory-integrated NVIDIA + Supermicro racks
- 250,000 GPU nodes commissioned and managed across 40+ sites
- 24×7 operations centers in North America, Europe and Asia
- Weeks not months, with standardized playbooks and automation
Proven with Microsoft Azure NVIDIA Supermicro Lambda CoreWeave
ISO/IEC 42001 · ISO 27001 · SOC 2
What You Get
Models that ship sooner
One failed node can stall an entire run. Burn-in catches weak hardware before jobs start, and fast node recovery keeps more GPU hours productive.
Always-on inference
Your customers feel every slowdown. 24×7 monitoring, rolling maintenance and fast remediation protect uptime, latency and your SLAs.
One accountable partner
Build-out, validation and 24×7 operations under one team. One contract, one escalation path, from first rack to every refresh.
Try Aptly on One Project
Try us on one fixed-scope engagement. See the results, then scale to full lifecycle support.
8 Weeks of
Commissioning
From white space to capacity
- Rack integration, cabling and power-up
- InfiniBand and Ethernet fabric setup and validation
- Burn-in, benchmarking and acceptance sign-off
- Production-ready capacity in 8 weeks
24×7 Monitoring &
NOC as a Service
Every GPU watched, every hour
- Monitoring software included, no extra licenses
- Real-time GPU, fabric and node health monitoring
- Follow-the-sun triage and AI-assisted remediation
- Scales with your fleet, no onsite headcount
Hardware Refresh &
Upgrade
Move to the next GPU generation without downtime
- Safe decommissioning and secure data sanitization
- Upgrade planning for power, cooling and rack layout
- Swap-out, re-cabling and firmware baselining
- Validated and back in production fast
The Cost of Going Without
What it costs to run GPUs without a professional host management team
One failure every 3 hours
419 interruptions in 54 days on a 16K-GPU H100 cluster
of failures are GPU or HBM
Hardware faults that need hands-on diagnosis and RMA
lost in 1 in 5 major outages
And 54% cost more than $100K
outages involve human error
Most from skipped or flawed procedures
were preventable
With better management and processes
of impactful outages start with power
Density growth makes it worse, not better
Sources: Meta, “The Llama 3 Herd of Models” (2024); Uptime Institute Annual Outage Analysis 2025.
Aptly’s 24×7 host management team catches failures early and returns nodes to service fast.
Get a buildout readiness reviewWhat We Deliver
- Assess
- Design
- Build-out
- Integrate
- Validate
- Deploy
- Commission
- Scale
- Support
Our End-to-End AI Data Center Buildout & Deployment Process
Aptly’s AI Data Center services provides full-spectrum lifecycle management: From design validation to operation, at scale.
Rack-Level Integration & Delivery
- In partnership with Supermicro and NVIDIA, Aptly delivers turnkey integrated GPU racks pre-validated and ready for datacenter deployment.
- Each rack undergoes power mapping, structured cabling, airflow optimization, and factory burn-in validation for reliability.
- Integrated racks are NVIDIA-certified and performance-verified with uniform BIOS and firmware baselines.
- Aptly ensures seamless rack acceptance testing and on-site commissioning to bring racks online efficiently.
Design Validation & Architecture Alignment
- Validate datacenter design and rack layout against customer AI workload roadmap, GPU density, and scalability requirements.
- Assess power distribution (PDU), cooling capacity, and thermal zoning for optimal efficiency and PUE.
- Validate network and fabric topology including InfiniBand spine-leaf or RoCE Ethernet designs for redundancy and throughput.
- Review infrastructure readiness and compliance against scale operational and environmental standards.
Rack Energization and Networking Setup
- Rack Energizing pre-check and safety verification, Power path and PDU verification, initial load staging validation and signoff.
- Deploy and configure InfiniBand, NVLink, and RoCE Ethernet fabrics for high-performance interconnects.
- Conduct port validation, redundancy failover testing, and topology diagnostics to prevent link-down incidents.
- Implement network security, firewalls, VLAN segmentation, zero-trust access, and secure out-of-band management.
- Standardize BIOS, firmware, OS imaging, and driver pipelines with automated provisioning for consistency across nodes.
Cluster Burn-In & Benchmarking
- Perform thermal, PCIe, and NVLink stress testing on every node and interconnect path.
- Benchmark using NVIDIA Nsight, DCGM, Lambda Benchmark, and MLPerf workloads to certify sustained performance.
- Integrate Aptly’s monitoring agents and telemetry for predictive analytics and fault detection.
- Generate detailed performance and reliability certification reports for production readiness.
Ongoing Infrastructure Support & Lifecycle Management
AI-Assisted Operations → Governed Remediation → Human Expertise
Aptly uses AI to detect, diagnose, and automatically remediate approved, repeatable issues, while 24×7 Aptly engineers handle complex and high-impact incidents. Customers define what AI can automate, keeping critical actions governed, auditable, and under human control.
- Provide 24×7 white-glove support through Aptly’s Global Operations Centers in North America, Europe, and Asia.
- Deliver continuous monitoring of GPU node health, utilization, and interconnect stability with proactive alerting.
- Perform scheduled firmware, BIOS, and OS upgrades in alignment with NVIDIA and Supermicro release cycles.
- Manage RMA, spare logistics, and post-deployment infrastructure support.
Operational Readiness & Compliance
- Deliver as-built documentation, configuration baselines, and operational runbooks for customer SRE and IT teams.
- Provide system validation and compliance audits against organizational and hyperscaler standards.
- Conduct readiness review and acceptance sign-off to ensure seamless transition to steady-state operations.
- Transition production-ready infrastructure to Aptly’s Managed Data Center Operations Services when ongoing operational ownership is required.
Why Aptly
Microsoft-Proven Scale Experience
Delivered GPU and compute clusters across Azure regions worldwide.
Integrated NVIDIA + Supermicro Partnership
Joint delivery of pre-assembled racks and factory-burned solutions, reducing customer deployment time by up to 40%.
Operational Excellence Beyond Installation
Aptly handles network link-down recovery, node availability, lifecycle upgrades, and uptime management.
Automation-Driven Efficiency
Standardized playbooks and automation pipelines reduce deployment timelines from months to weeks.
Hardware Ecosystem Expertise
Deep field experience across HPE, Dell, Lambda, CoreWeave, Nebius, and NVIDIA reference architectures.
Global Reach
Dedicated teams across the U.S., Europe, India, and nearshore centers to ensure 24×7 delivery and coverage.
Frequently Asked Questions
What are AI data center buildout services?
AI data center buildout services cover the design, integration, deployment, validation, and commissioning required to bring high-performance AI data center infrastructure into production. Aptly supports the lifecycle from AI data center design and rack integration through networking, power, cooling, cluster validation, commissioning, and ongoing infrastructure support.
What is involved in AI infrastructure deployment?
AI infrastructure deployment involves integrating GPU compute, high-speed networking, power distribution, cooling, firmware, operating systems, and monitoring into a production-ready environment. Aptly’s AI infrastructure integration approach includes: rack energization, configuration, AI data center networking, infrastructure validation, and readiness testing to help organizations deploy reliable GPU infrastructure at scale.
How does Aptly deploy and validate GPU clusters for AI workloads?
Aptly supports end-to-end AI cluster deployment, from GPU rack integration and network configuration to cluster validation and burn-in testing. GPU nodes and interconnects are stress-tested across thermal, PCIe, and NVLink paths, with performance benchmarking and reliability validation performed before production readiness and acceptance sign-off.
What networking technologies does Aptly support for AI data centers?
Aptly designs and deploys high-performance AI data center networking for large-scale GPU clusters, including InfiniBand, RoCE Ethernet, and NVLink interconnects. Network validation includes topology checks, port testing, redundancy and failover testing, and diagnostics to help maintain the low-latency, high-bandwidth connectivity required by distributed AI workloads.
How does Aptly address power and cooling requirements for high-density GPU infrastructure?
Aptly evaluates power distribution, cooling capacity, rack density, airflow, and thermal management as part of the AI infrastructure buildout process. For high-density GPU infrastructure, this includes validating PDU capacity, thermal zoning, airflow requirements, and infrastructure readiness, including liquid cooling requirements where applicable, to support reliable AI infrastructure scaling.
Does Aptly provide AI data center operations after buildout and deployment?
Yes. Aptly provides ongoing AI data center operations after infrastructure deployment and commissioning, helping organizations operate and maintain production AI environments at scale. Our managed data center operations services include 24×7 data center monitoring, incident management, smart hands support, infrastructure troubleshooting, preventive maintenance, GPU and network support, spares and RMA coordination, capacity management, and operational optimization. This provides continuous support for GPU infrastructure, high-density AI clusters, and other mission-critical AI data center infrastructure.
How much does an AI data center buildout cost?
AI data center buildout costs vary based on GPU cluster size, networking, rack density, power, cooling, and deployment requirements. Contact Aptly Technology directly for a customized AI data center buildout cost estimate.
Can Aptly deploy and manage AI data center infrastructure?
Yes. Aptly can deploy, validate, commission, and manage AI data center infrastructure throughout its lifecycle. Services include GPU infrastructure integration, rack deployment, AI networking, cluster validation, 24×7 monitoring, incident response, hardware and firmware support, and ongoing infrastructure optimization.
Does Aptly help enterprises build data centers for AI?
Yes. Aptly helps enterprises build data centers for AI by integrating and deploying GPU infrastructure, high-speed networking, power and cooling systems, and AI clusters. Services span design validation, rack deployment, commissioning, infrastructure validation, and ongoing 24×7 support.
Let Aptly help you design, deploy, and operate GPU infrastructure at scale.
Built for reliability, optimized for performance, and supported every hour of every day.
Book an AI Infrastructure Buildout & Readiness Call
