This is the best summary I could come up with:

CentML, a startup developing tools to decrease the cost — and improve the performance — of deploying machine learning models, this morning announced that it raised $27 million in an extended seed round with participation from Gradient Ventures, TR Ventures, Nvidia and Microsoft Azure AI VP Misha Bilenko.

Pekhimenko, an associate professor at the University of Toronto, co-founded CentML last year alongside Akbar Nurlybaev and Ph.D. students Shang Wang and Anand Jayarajan.

Pekhimenko says that they shared a vision of creating tech that could increase access to compute in the face of the worsening AI chip supply problem.

Microsoft is facing a shortage of the server hardware needed to run AI so severe that it might lead to service disruptions, the company warned in a summer earnings report.

And Google hasn’t managed to keep pace with demand for its cloud-hosted, homegrown GPU equivalent, the tensor processing unit (TPU), Wired reported recently.

It has competitors in MosaicML, which Databricks acquired in June for $1.3 billion, and OctoML, which landed an $85 million cash infusion in November 2021 for its machine learning acceleration platform.

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