Thierry Moreau

Thierry Moreau

Jul 8, 2020

Thierry Moreau

Thierry Moreau

Jul 8, 2020

Bringing ML to the Azure Sphere with TVM

Apache TVM empowers programmers to deploy customized deep learning models from popular frameworks (Pytorch, Tensorflow, MxNet etc.) onto various cloud and edge CPU and GPU backends.

Jason Knight

Jason Knight

Jun 4, 2020

Jason Knight

Jason Knight

Jun 4, 2020

TinyML: TVM taming the final (ML) frontier

Optimizing and deploying machine learning workloads to bare metal devices today is difficult, and Apache TVM is laying the open source foundation to making this easy and fast for anyone.

Jason Knight

Jason Knight

May 14, 2020

Jason Knight

Jason Knight

May 14, 2020

WebGPU powered machine learning in the browser with Apache TVM

We introduced support for WASM and WebGPU backends to the Apache TVM deep learning compiler. Our initial experiments shows that TVM’s WebGPU backend can get close to native GPU performance when deploying models in the browser.

Luis Ceze

Luis Ceze

Apr 3, 2020

Luis Ceze

Luis Ceze

Apr 3, 2020

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

Josh Fromm

Josh Fromm

Mar 31, 2020

Josh Fromm

Josh Fromm

Mar 31, 2020

Riptide: Fast, Full Binarization in TVM

Riptide is a new method for quantizing models down to 1 or 2 bits that can enable end-to-end speedups of up to 12X when optimized using TVM.

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