Services
Consulting, deployment and system engineering for AI infrastructure.
Use X-YORK when your team needs a working system, a defensible hardware decision or help solving a low-level infrastructure problem.
01 · Consulting
Make the infrastructure decision before making the purchase.
We translate the workload into practical requirements and identify where assumptions need to be tested.
02 · Deployment
From components to a usable server.
Hardware validation
Review compatibility, PCIe layout, power, thermals, memory, storage and expansion requirements.
Assembly and firmware
Build, cable, update firmware and validate that the complete system behaves correctly.
Linux and GPU stack
Install the agreed OS, NVIDIA drivers, CUDA components, containers and remote access.
Handoff
Provide tested access, configuration notes and a clear list of what was delivered.
03 · Debugging and optimization
Find the real bottleneck.
Not every GPU problem is a GPU problem. We investigate the complete system rather than changing settings blindly.
Driver and CUDA issues
Version conflicts, missing devices, container passthrough and unstable software environments.
Multi-GPU behavior
Device visibility, workload placement, interconnect constraints and process configuration.
Performance and stability
Thermals, power limits, CPU pressure, memory, storage throughput and repeatability.
04 · Applications and data
Infrastructure is useful only when the application works.
We can support the layers above the operating system, particularly for smaller organizations that do not have separate platform, data and application teams.
Open-source AI installation
Deploy public models and common inference, image, video and team-access tools on customer-controlled systems.
Database support
Installation, access configuration, migration assistance, backup planning and performance troubleshooting.
E-commerce infrastructure
Support for web stores, databases, integrations, hosting transitions and operational troubleshooting.
System integration
Connect applications, storage, authentication, APIs and internal services into an operable environment.
05 · Physical deployment
Support from power and cabling through software handoff.
Power planning
Review system draw, circuit requirements, redundancy expectations and practical expansion headroom.
Low-voltage and rack cabling
Coordinate network runs, rack layout, labeling and physical connectivity for a clean deployment.
On-site coordination
Bridge hardware, electrical, network and system requirements so the deployment is treated as one project.
06 · Support
Continue after the initial deployment.
Maintenance
Planned updates, component changes and operating documentation.
Troubleshooting
Remote diagnosis and agreed physical intervention when a deployed system has an issue.
Expansion planning
Review actual utilization before adding GPUs, storage or additional systems.
Optional capacity
Dedicated hardware can support the engagement.
RTX 5090 and RTX PRO 6000 systems are available in configurations up to eight GPUs, with pricing based on the complete server and support scope.
Short pilot
A defined test window can be arranged around clear software requirements and success criteria.
Dedicated monthly system
For sustained use, a dedicated system can be configured and quoted around the workload.
Start with the smallest engagement that answers the question.
Assessment, pilot, deployment or troubleshooting—each begins with a written scope.