Sayce Falk
Nov 5, 2020
Sayce Falk
Nov 5, 2020
Unlocking 10x Performance Improvements on Computer Vision Models
At OctoML, we love working with teams that are changing our world through the application and productization of deep learning models.
Jason Knight
Jul 17, 2020
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
Jul 8, 2020
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
Jun 4, 2020
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
May 14, 2020
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.