Advanced AI Inference Infrastructure
Infrastructure for the next scale of AI.
Graphium Labs is developing new infrastructure for efficient, long-context AI inference on CPU-based systems.
Our technology is designed to work with existing model architectures and pretrained weights—without retraining or modifying the underlying models.
We are focused on improving the economics of large-scale inference across performance, cost, and context length.
Currently in stealth.
Technology
A new approach to the underlying computation of transformer inference.
CPU-native.
Designed to make large-model inference practical on existing CPU infrastructure.
Model-compatible.
Designed to work with existing architectures and pretrained weights without retraining.
Long-context.
Built to improve the efficiency of inference as context grows.
The opportunity
As AI workloads grow, inference is becoming a larger constraint on compute, cost, and infrastructure.
Graphium Labs is exploring a different approach.