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LVTS deploys the physical infrastructure that AI workloads depend on — from GPU server rack and stack to high-density power, advanced cooling, and high-speed interconnects. We build the data center foundation so your AI and machine learning platforms perform at scale.
Request ConsultationThe demand for AI compute is growing faster than most facilities can adapt. GPU servers are heavier, draw more power, and produce more heat than anything else in a data center. Deploying them correctly requires specialized knowledge that goes well beyond standard IT installation.
LVTS provides AI infrastructure deployment services for enterprises, research institutions, and service providers building GPU compute capacity. We handle the physical layer — rack and stack, power distribution, cooling systems, and high-speed networking — so your data center is ready for the most demanding AI workloads from day one.
End-to-end physical infrastructure services purpose-built for GPU compute and high-performance AI workloads.
Complete physical deployment of GPU servers including NVIDIA DGX, HGX, and OEM AI platforms. We handle unpacking, rail installation, rack mounting, power connections, and high-speed network cabling following manufacturer specifications and data center standards.
AI racks routinely draw 20-40kW+ per cabinet. We design and install high-density power distribution with properly rated PDUs, busways, and branch circuits to support the electrical demands of GPU compute without overloading existing infrastructure.
GPU-intensive workloads generate significant heat that standard HVAC cannot handle. We deploy rear-door heat exchangers, in-row cooling units, direct liquid cooling (DLC) manifolds, and cold-aisle containment systems to maintain safe operating temperatures.
AI clusters require ultra-low-latency, high-bandwidth interconnects. We install InfiniBand, 100/400GbE spine-leaf fabrics, and RDMA-capable networks with proper fiber routing, cable management, and testing for GPU-to-GPU communication at scale.
Physical security for AI compute assets including biometric access control, environmental monitoring, CCTV coverage, and compliance documentation for SOC 2, HIPAA, and government security requirements.
Post-installation validation including power-on testing, thermal stress testing under full GPU load, network throughput verification, and firmware standardization. We confirm every node is operational before handoff to your engineering team.
We deploy GPU compute infrastructure for organizations across industries — from enterprise AI training to edge inference and research computing.
Training and inference infrastructure for organizations deploying large language models, computer vision, recommendation engines, and predictive analytics at scale.
Compute clusters for scientific simulation, computational fluid dynamics, molecular modeling, and research workloads that require massive parallel processing.
Infrastructure buildouts for companies offering GPU compute, model hosting, and AI platform services to their customers from colocation and private data centers.
Compact GPU deployments in edge locations, hospital data rooms, and branch offices for real-time inference workloads that cannot tolerate cloud latency.
AI hardware is not standard IT equipment. It requires a different approach to power, cooling, weight distribution, and network design.
Our teams have deployed NVIDIA DGX, HGX, and multi-GPU OEM platforms. We understand the weight, power, cooling, and cabling requirements that make AI hardware fundamentally different from standard IT equipment.
We don't just mount servers. We deliver the complete physical infrastructure — power, cooling, cabling, and security — so your AI compute operates reliably from day one. Coordinated with our electrical, networking, and building automation teams.
AI infrastructure is high-density by nature. We engineer rack layouts, power distribution, and cooling to support 30kW+ per cabinet today with expansion paths for future GPU generations.
AI deployments touch electrical, mechanical, networking, and security systems simultaneously. As a multi-discipline integrator, LVTS coordinates all trades under one team to eliminate gaps between contractors.
AI infrastructure engineered for the security, compliance, and performance requirements of each sector.
We deploy AI compute platforms and supporting infrastructure from industry-leading manufacturers.
Whether you are standing up your first GPU cluster or expanding an existing AI deployment, our team has the experience to deliver the physical infrastructure your workloads require. Tell us about your hardware, timeline, and facility — we will scope the deployment and get it done right.
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