An AI inference platform built on custom LPU (Language Processing Unit) hardware, offering dramatically faster response times for running open-source language models.
Features
Custom LPU hardware for ultra-fast inference
Significantly lower latency than typical GPU-based inference
Support for popular open-source models
Simple API for developers
Free tier for testing and evaluation
Consistent, predictable response times
Cost-competitive pricing at scale
Growing catalog of supported models
Pros and Cons
Pros
Inference speed is dramatically faster than typical GPU-based alternatives, often by a large margin
Consistent low latency matters significantly for real-time applications like voice agents
Simple, familiar API design makes switching straightforward for developers
Free tier makes it easy to test the speed difference firsthand
Cons
Model catalog is more limited than platforms supporting the full range of open-source models
Newer hardware approach means less track record than established GPU-based providers
Pricing and availability can shift as the underlying custom hardware platform scales