Get more from your ML models

OctoML accelerates your machine learning model performance automatically, enabling seamless deployment while maintaining accuracy.

OctoML works seamlessly across common ML frameworks and hardware backends

Performance acceleration platform

Machine learning made fast, automated, and adaptive.

Manual and Tedious

90% of ML models don't make it to production. The remaining 10% take months to deploy — plagued by manual optimizations and benchmarking, labor-intensive packaging, and a lack of modern CI/CD integrations.

Fast and Seamless

OctoML takes the pain out of getting models to production by automatically maximizing model performance on any hardware and across common ML frameworks like Pytorch, TensorFlow and ONNX serialized models.

Accelerate performance

Automatic optimization

We go beyond achieving one-off SoTA results and deliver tangible results that improve performance by up to 30x without sacrificing accuracy.

Greater visibility

Comprehensive benchmarking

We compile and benchmark against your original model and similar public models available on model zoos. Easily compare the performance of a model across various cloud CPU and GPU instance types.

Production-ready

Seamless packaging

Your model is seamlessly packaged to deploy in the edge and cloud environment. Flexible packaging formats such as Python wheel shared library with C API, serverless cloud tarball, and more.

Why OctoML?

Deploy your models in hours, not months.

Future-proofed

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

Broad interoperability

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

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

Dec 4, 2020

Amplify ML Hardware Design Productivity with TVM-driven Hardware Simulation

Machine learning (ML) has spurred tremendous innovation in CPU, GPUs and NPUs.

Nov 5, 2020

Unlocking 10x Performance Improvements on Computer Vision Models

At OctoML, we love working with teams that are changing our world through the application and productization of deep learning models.

Aug 11, 2020

Build ML models once, run anywhere.

Apache TVM democratizes efficient machine learning with a unified software foundation. OctoML is building an MLops automation platform on top of it.