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In the cloud — Sparsity on GPUs provides 5X speedup

As AI models get larger, the importance of each weight for a typical inferencing decreases...

Jason Knight

Jason Knight

Jan 15, 2021

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Luis Ceze

Luis Ceze

Sep 15, 2021

Luis Ceze

Luis Ceze

Sep 15, 2021

The importance of our Qualcomm partnership to OctoML’s expanding ecosystem

Today, we’re excited to announce a new milestone in the evolution of our platform and ecosystem. We’re officially announcing our first partnership with Qualcomm, an industry leader in mobile hardware technology.

Jason Knight

Jason Knight

Aug 24, 2021

Jason Knight

Jason Knight

Aug 24, 2021

With Apache TVM, Microsoft Research develops and serves the latest computer vision algorithms on live streams

OctoML engineering collaborated with Microsoft Research on the “Watch For” project, an AI system for analyzing live video streams and identifying specified events within the streams.

Luis Ceze

Luis Ceze

Mar 17, 2021

Luis Ceze

Luis Ceze

Mar 17, 2021

What the $28 million Series B means for OctoML and for accelerating ML deployment

We are thrilled to announce that OctoML has closed a $28M million Series B funding round led by Addition and Lee Fixel with participation from existing investors Madrona Venture Group and Amplify Partners.

Jason Knight

Jason Knight

Mar 4, 2021

Jason Knight

Jason Knight

Mar 4, 2021

Up to 9x performance improvements with TVM’s new auto-scheduler

Autoscheduling enables higher performance end to end model optimization from TVM, while also enabling users to write custom operators even easier than before.

Jason Knight

Jason Knight

Feb 25, 2021

Jason Knight

Jason Knight

Feb 25, 2021

Compiling classical ML for performance gains (up to 30x) and hardware portability

Today, machine learning engineers and data scientists use popular frameworks such as Scikit-learn, XGBoost, and LightGBM to train and deploy classical ML models such as linear and logistic regression, decision trees and gradient boosting.

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Maximize performance. Simplify deployment.

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