OctoML raises $28M Series B for its maker learning velocity platform
OctoML, a Seattle-based startup that uses an artificial intelligence velocity platform built on top of the open-source Apache TVM compiler framework task, today announced that it has actually raised a $28 million Series B funding round led by Addition. Previous financiers Madrona Venture Group and Amplify Partners also participated in this round, which brings the company’s […] , today announced that it has raised a $28 million Series B funding round led by Addition. On the engineering side, Ceze tells me that the team is looking at not simply enhancing and tuning models but likewise the training process. Training ML designs can rapidly become costly and any service that can speed up that procedure leads to direct savings for its users — which in turn makes OctoML an easier sell.”When we initially met Luis and the OctoML team, we understood they were poised to change the method ML groups release their machine finding out designs,” said Lee Fixel, founder of Addition. …
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