Effortless AI inference at any scale
Run inference at low latency across 100’s of machines with 4 lines of code
✓ Deploy ML models with simple Python code.
✓ Run inference at any scale.
✓ Forget renting servers, doing DevOps, and coding to deploy.
Run demanding pipelines easily
Stable Diffusion running blazingly fast with just 10 lines of code.
Achieve request latency as low as 6 ms via geo-prioritized P2P connection to remote compute nodes.
Enjoy the performance boost via automated TensorRT conversion and optimized ONNX runtime.
①Pay as you go. Per compute second or per request to a model.
②Plan ahead. Subscribe to constant compute capacity at a flat monthly fee.
③Customize. Meet any scale, latency, and security requirements. Interoperate
on-premise hardware with
on-demand external compute from a unified interface.
Effortless AI inference at any scale
import everinfer
client = everinfer.client
pipeline = client.register_pipeline
engine = client.create_engine
preds = engine.predict('image.jpg')