Inferia

Own Your AI. Run It Anywhere.

Inferia gives enterprises the complete infrastructure to deploy, manage, and scale LLMs privately — no cloud dependencies, no data exposure.

Built for the enterprise AI stack

KubernetesNVIDIAAMDHugging FaceDockerPyTorch

The Enterprise AI Gap

Most enterprises face the same three challenges when adopting LLMs at scale.

D

Data Risk

Sending prompts to third-party APIs exposes sensitive enterprise data to external servers you don't control.

C

Cost Spiral

API costs grow uncontrollably at scale. Per-token pricing makes budgeting unpredictable.

N

No Ownership

You're renting intelligence you can't audit, customize, or run without an internet connection.

The Full Stack for In-House AI

Three products that work together to give you complete ownership of your AI infrastructure.

Platform Layer

Inferia LLM

The Operating System for LLM Inference

Deploy any open-weight model on your own infrastructure. Full control over weights, configuration, and runtime — with no external dependencies.

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Inferia LLM Diagram
Routing Layer

Inferia Proxy

Control Every Token

A unified gateway that routes, throttles, and observes every LLM request across your organization. Set budgets, enforce policies, and audit usage.

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Inferia Proxy Diagram
Performance Layer

Inferia Accelerate

Maximum Performance, Minimum Hardware

Custom GPU kernels and quantization tooling that unlock dramatically more throughput from your existing hardware — without sacrificing quality.

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Inferia Accelerate Diagram

3x

Faster inference

100%

Air-gapped capable

Zero

Vendor lock-in

"Inferia gave us complete control over our LLM infrastructure without sacrificing performance."
VP of Engineering Enterprise Customer
"We cut our inference costs by 60% while keeping everything on-premise."
CTO Enterprise Customer

Master the LLM Era

The Inferia LLM Playbook is your complete guide to deploying and operating large language models in the enterprise — from fundamentals to production.

Ch 01

What Are LLMs?

Understand the fundamentals of large language models and how they work.

Ch 02

Running LLMs

Learn the hardware, software, and operational requirements for running models.

Ch 03

LLM Deployment

Best practices for deploying LLMs in production enterprise environments.

From the Blog

Enterprise AI 8 min read

Why Enterprises Are Moving LLMs In-House

The case for private LLM deployment is stronger than ever. Here's why forward-thinking enterprises are taking control.

Technical Deep Dive 12 min read

Quantization Explained: INT4, INT8, and FP8

A practical guide to model quantization formats — what they mean for performance, quality, and hardware compatibility.

Inferia Updates 5 min read

Introducing Inferia LLM v1.0

We're launching Inferia LLM — the operating system for enterprise LLM inference. Here's what it can do.

Ready to own your AI infrastructure?

See how Inferia can help your team deploy, manage, and scale LLMs privately.