The Solution
Automatically Rebuild the Processor Around Every Model.
ElastixAI continuously co-optimizes hardware, software, and machine learning around each model — improving performance and economics without waiting for a new generation of silicon.
Try a model→
Connect your app→
Add tokens
01 / Hosted inference
Tokens as a Service
An OpenAI-compatible API to call any of our growing portfolio of models.
- ✓Industry-standard workflow, models, results, and accuracy.
- ✓Models run on highly-optimized processors on FPGAs, not GPUs.
- ✓Higher performance, lower cost, and less energy consumed per token.
Pick a Model →Your model→
ElastixAI→
Your servers
02 / Your infrastructure
On-Premise
A fully PyTorch-compatible flow, designed as a drop-in replacement for your existing GPU flow.
- ✓No custom hardware needed, instead just commodity servers and FPGAs (ask us for specific recommendations).
- ✓A model-agnostic foundation designed to instantly run any LLM.
- ✓New LLMs automatically supported within minutes of publication.
Talk to Us →Targeting an on-premise deployment? Contact us to help with deployment planning.
Better economics
More tokens per dollar.
Model-specific optimization and lower power deliver fundamentally better inference economics.
Responsive inference
Scale performance. Not cost.
As interactivity increases, conventional infrastructure economics deteriorate. ElastixAI scales efficiently into performance tiers GPUs can’t economically reach.
Built to adapt
New models. Optimized fast.
Reconfigure for new models and continuously improve performance without replacing the underlying hardware.
From first prompt to production
Keep building.
Create your account to manage API keys, credits, and usage in one place.