Luis Ceze
Apr 3, 2021
Announcing OctoML’s Series A, growing our team and Octomizing the World’s ML/AI needs!
We are very excited to announce that six months after our seed funding we have closed a Series A funding round of $15 million
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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
Mar 4, 2021
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
Feb 25, 2021
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.
Jason Knight
Jan 15, 2021
Jason Knight
Jan 15, 2021
In the cloud — Sparsity on GPUs provides 5X speedup
As AI models get larger, the importance of each weight for a typical inferencing decreases...