OctoML, a University of Washington spinout, has raised $3.9 million for deploying deep learning models on every hardware configuration to companies across the globe. The funding round was led by Madrona Venture Group with participation from Amplify Partners.

OctoML said it is leveraging the power and traction of Apache TVM, an open source project originated by the founding team, to enable companies of every size to harness the power of deep learning. All this especially without the expensive heavy lifting of tuning and securing models to each hardware configuration that a customer might need, the company explained.

Apache TVM is said to be an automated deep learning model optimization and compilation stack that powers efficient model deployment in major technology companies like Amazon, Facebook, Microsoft, Xilinx, and Qualcomm. It is backed by 270+ contributors worldwide, including people from major tech companies and academic institutions.

The mission of the project is to enable data engineers to easily optimize and deploy models across a broad set of hardware in a portable manner.

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