LLM Router

Hardware Layer

GPU Infrastructure you own and control.

Neonix sources, deploys, and maintains NVIDIA GPU servers on-premise at your site. No hyperscaler dependency. No surprise GPU availability issues. Hardware you can audit.

Why on-premise GPU hardware?

Cloud GPU pricing is high, volatile, and availability is not guaranteed. On-premise hardware gives you predictable costs, dedicated performance, and full control over what data leaves your network.

Reference configuration

Specifications are sized per project based on your workload. Below is a reference configuration for a mid-scale LLM inference deployment.

GPUNVIDIA H100, A100, L40S (project-specific)
CPUAMD EPYC or Intel Xeon Scalable
RAM512GB–2TB DDR5 ECC
StorageNVMe SSD, 4TB–32TB (tiered)
Networking25/100GbE, optional InfiniBand
PowerRedundant PSU, UPS-ready
Form Factor1U–4U rack-mount, tower available
OSUbuntu Server LTS (recommended)

Final specification determined after workload assessment. Options for purchase or lease.

Why Neonix for GPU Hardware

Proven Hardware Expertise

13+ years supplying and deploying enterprise servers. GPU servers are a natural extension.

End-to-end Deployment

We handle procurement, staging, on-site install, and post-deployment support — not just the sale.

Maintenance Included

GPU hardware covered under a Neonix maintenance contract. Hardware monitoring, break/fix, firmware updates.

Certifications

Certified engineers for server, storage, and networking. ISO-compliant handling procedures.

From order to production

01

Sizing & Procurement

We assess your AI workloads, model sizes, and concurrency requirements — then specify and source the right GPU hardware.

02

Pre-Staging

Hardware is configured and stress-tested at our facility. OS installed, drivers validated, BIOS optimized for AI inference.

03

On-site Installation

Rack mounting, power and network cabling, and integration with your existing infrastructure.

04

LLM Router Software Deploy

Routing layer installed and configured. API endpoints set up. Provider credentials integrated.

05

Testing & Handover

End-to-end query routing tested. Performance benchmarks run. Documentation delivered.

06

Ongoing Maintenance

Covered under a Neonix maintenance contract — hardware monitoring, break/fix, firmware updates.

Your GPU hardware package

NVIDIA GPU server — spec'd for your workload
Pre-staged and tested at Neonix facility
On-site installation and cabling
OS and driver configuration
LLM Router software installation and setup
Performance benchmark testing
As-built documentation
Neonix maintenance contract (hardware monitoring, break/fix)
Firmware and security update management

Ready to deploy on-premise GPU infrastructure?

Tell us about your AI workloads and we'll spec the right hardware configuration.