Jason Knight

Jason Knight

Jul 17, 2020

Jason Knight

Jason Knight

Jul 17, 2020

Leveraging block sparsity with Apache TVM to halve your cloud bill for NLP

The natural language processing (NLP) community has been transformed by the recent performance and versatility of transformer models from the deep learning research community...

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.

Jason Knight

Jason Knight

Mar 24, 2020

Jason Knight

Jason Knight

Mar 24, 2020

OctoML ≔ Easier machine learning

Machine learning and deep learning (ML/DL) are making large impacts across the computing field and the horizon is bright with the rapidly growing capabilities they add to an engineer’s toolbox.

Maximize performance. Simplify deployment.

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