Request a Quote
NNNeonix Networks

New — AI Infrastructure

Neonix LLM Router.

GPU server infrastructure + intelligent LLM routing layer.

Your AI queries automatically route to the optimal model based on cost, latency, and sensitivity rules you define. Neonix deploys and maintains the hardware. You get all the AI capability — none of the complexity.

Request a Quote Talk to Our Team
40–85%
AI Cost Reduction
On-Prem
Data Sovereignty
Multi-LLM
Provider Routing

What Is LLM Router

Hardware you own. AI you control.

Most companies using AI today are paying unpredictable cloud bills, locked into a single provider, and sending sensitive data offsite without a clear policy.

Neonix LLM Router solves all three. We deploy GPU servers at your site and install an intelligent routing layer that sits between your applications and every major LLM provider. Every AI query is automatically directed to the right model — based on cost, latency, complexity, and the data sensitivity rules you set.

Unlike pure software LLM routers, Neonix provides the full stack — the physical GPU infrastructure AND the routing software. One vendor, one support contract, hardware you can audit and trust.

Hardware Layer Software Layer

Your AI query flow

1

Application sends AI query

Your app, chatbot, or workflow

2

LLM Router evaluates

Cost, latency, sensitivity rules

3

Route: On-prem GPU

Sensitive data stays on your hardware

4

Route: Cloud LLM

OpenAI, Anthropic, Google, Mistral…

5

Response returned

Unified API — your app doesn't change

Why LLM Router

Four problems. One solution.

Cut AI Costs 40–85%

Route each query to the cheapest model that can handle it. Simple tasks go to fast, cheap models. Complex tasks go to GPT-4 or Claude. You pay less without sacrificing quality.

Data Sovereignty

Sensitive queries stay on your own GPU hardware. Only appropriate workloads route to cloud LLMs. You define the rules — Neonix enforces them.

Eliminate Vendor Lock-in

Route across OpenAI, Anthropic, Google, Mistral, and self-hosted models. If one provider raises prices or has downtime, traffic shifts automatically.

Hardware You Own

Neonix sources, deploys, and maintains GPU servers on-premise at your site. No hyperscaler GPU availability issues. No surprise billing.

Who It's For

LLM Router for every scale.

SMBs

“AI is too expensive and confusing”

Use AI without overpaying — we set it up and manage it for you.

Mid-Market

“Vendor lock-in, unpredictable AI costs”

Route across providers automatically. Cut AI spend 40–85%.

Enterprise / Datacenter

“Data privacy, compliance, performance at scale”

Keep sensitive data on your hardware. Route everything else intelligently.

Supported LLM Providers

OpenAI (GPT-4, GPT-4o, o1)Anthropic (Claude 3.5, Claude 4)Google (Gemini 1.5, 2.0)Mistral AIMeta (Llama 3)Self-hosted models (Ollama, vLLM)

Competitive Positioning

The only full-stack LLM Router

CapabilityNeonix LLM RouterSoftware-only routers
GPU hardware supply & deploymentfalse
Intelligent multi-provider routing
On-premise data sovereigntyPartial
Neonix-managed maintenancefalse
Single vendor, single contractfalse
Hardware audit & compliancefalse

Compared to OpenRouter, LiteLLM, Portkey, and similar software-only solutions.

Frequently Asked Questions

Do I need to manage this myself?

No. Neonix deploys and manages the hardware. Our team handles firmware updates, capacity monitoring, and break/fix under a standard maintenance contract.

What LLM providers are supported?

OpenAI, Anthropic, Google, Mistral, Meta Llama, and any self-hosted model running on Ollama or vLLM. We add new providers as they become relevant.

What happens if a provider goes down?

Automatic failover to your configured backup provider. You define the fallback chain — we enforce it.

Can I bring my own GPU servers?

Yes. You can supply your own hardware and we deploy the routing software layer. Or we source, deploy, and maintain the GPU infrastructure end-to-end.

Is there a self-serve option?

LLM Router is a custom-quoted solution. Contact our team to discuss your use case, volume, and requirements.

Hardware Layer

GPU server specifications, deployment process, and Neonix maintenance coverage.

GPU Infrastructure

Software Layer

Supported LLM providers, routing logic, cost dashboard, and data sovereignty controls.

Routing Software

Ready to deploy AI on infrastructure you own?

Talk to our team about your AI workloads, budget, and data requirements.

Request a Quote Talk to Our Team