Deploy accelerated ML models everywhere

Boost your performance while slashing your deployment costs, speed up time to market and minimize your application's lag to deliver a better user experience.

Deploy accelerated 
ML models everywhere

Choice. Automation. Performance.

Machine Learning Deployment Platform

Pick your ML framework and hardware target, we'll do the rest. Automate your deployment, with our automatic optimizations and visual benchmarking. Our platform accelerates your model to get the best performance.

Machine Learning Deployment Platform
Machine Learning Deployment Platform

OctoML customers and Partners

Microsoft
Woven Planet
AWS
Google
Azure
AMD
ARM
Qualcomm
VMWare
Wipro

Performance Acceleration

Speed up your model's predictions automatically with state of the art optimization techniques including: quantization, operator fusion, constant-folding, static memory planning pass, and data layout transformations.

Performance Acceleration

Comprehensive Benchmarking

Make informed decisions on where to deploy your model with our visual Benchmark UI. Compare accelerated model performance across CPUs, GPUs, APUs and across hardware providers and clouds.

Comprehensive Benchmarking

Portable Packaging

Deploy anywhere: clouds/servers, edge/IoT, client/PC, mobile. Production-ready packaging optimized for any of your hardware targets.

 Portable Packaging

Deploy trained models to production in hours

Future-proofed
Future-proofed

Built on open-source framework Apache TVM, OctoML offers immediate access to the most current and innovative optimization techniques.

Broad interoperability
Broad interoperability

Built for engineers, OctoML can optimize inference for specific hardware targets.

Deployment ready
Deployment ready

OctoML is pre-configured to run effectively out-of-the-box so you can deploy to production with a couple of lines of code.

Our blog

Read more about our ML science at work

Accelerate Performance and Deployment Time