LM.C · Available

Local Models Computing Engine

General-purpose local inference for machine learning models, CPU-first for resource-constrained environments.

What LM.C is

At NileAGI we build AI infrastructure grounded in Africa's realities, where computational resources are limited and access to scalable systems is uneven. LM.C is the inference layer that makes advanced models deployable without heavy GPU dependency.

01

Local Models Computing

LM.C stands for Local Models Computing Engine: efficient inference close to where data and users already are.

02

Resource-aware design

Prioritises deployability without heavy GPU dependency so teams can serve models where the cluster is a workstation.

03

Product foundation

Powers the path from research models to products people can run offline or on modest connectivity, including Delta.

Demo

See LM.C in action on constrained hardware.

Run inference where it matters

Explore LM.C, or see the models that feed the same stack.