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run frontier AI models
on hardware YOU own.

Exxa was founded under the belief that most performing artificial intelligence models should be self-hosted. We're supporting companies in this journey today, while pushing inference research to run large models efficiently on constrained hardware.

Companies should have options
outside cloud providers

Whether on private AI servers or workstations on your desk.

Private AI Servers
Workstations

VISION

At exxa, we believe history is repeating itself.

Decades ago, computing power migrated from centralized mainframes into personal computers, sparking an era of unprecedented innovation. Today, AI is about to take the same path, from distant and centralized cloud servers back to hardware you control, whether it's your own servers, AI workstations or even your phone.

Self-hosted AI isn't just about enhancing privacy and security; it's about empowering you to maintain your freedom to learn, create and innovate.

Yet bringing frontier AI to "accessible" hardware isn't straightforward. Current models running locally tend to be painfully slow, considerably more expensive or far less capable than their cloud-hosted alternatives, especially when serving a small team of users simultaneously.

That's the challenge we're tackling at Exxa.

Vision

ENTERPRISE

We help companies deploy private AI on their infrastructure.

Private AI Servers

Exxa supports companies in efficiently deploying Gen AI models and inference engines like vLLM, optimized for speed and accuracy on your infrastructure.

"Exxa deployed private LLM in record time for us to test 5 Gen-AI applications in full security on highly sensitive use cases."

— AI Director, Large Manufacturing Company

AI Workstations

Exxa is designing and building custom AI workstations to enable 3-5 person teams to benefit from private AI models. More coming soon.

Custom AI Applications

Exxa designs bespoke Gen AI applications on top of private infrastructures, tailored to your specific use cases.

"Exxa developed a custom Gen AI application for competitors' patent research on top of private AI servers infrastructure."

— IP Project Leader, Large Manufacturing Company

Research

Our founding team combines deep expertise in custom inference engines development and constrained hardware optimization. Through partnerships with leading research institutions, we're working on inference acceleration and models' compression.

Here is a sneak peek of our current work on specualtive decoding: 46 tokens/second per user on Llama-3.3-8B with 8K input context, that's 2x faster than current state-of-the-art solutions. This is a first technical statement that models generation can be highly improved on limited hardware with small batch sizes.

2x generation speed improvement

Eagle-3 22 tokens/s
Vanilla 23 tokens/s
exxa 46 tokens/s

Llama-3.1-8B • 8K tokens input

Tokens per second per user

Is exxa right for your business?
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