Ampere AI + Matoha Case Study: AI Training on CPU Instances Alone

Ampere AI conducted a rather unique case study satisfying AI training performance needs with CPU instances alone. The use of OCI Ampere A1 instances decreased the time needed for training by 30%.

You’ll find more details in a PDF from the OCI Ampere A1 Compute page.

Ampere AI + Matoha Case Study

Matoha makes portable devices for material identification to enable a circular economy in even the world’s most remote regions.

Please like or comment to let me know if you’re interested in me reposting more case study content from the AI team in the future. Thanks!


That’s pretty cool tech from Matoah, will be interesting to see how that scales out to make better use of established resources.

I at least would like to read more case studies - if possible, I’d personally like to see more details in the case studies - computation times, training/testing metrics, node types or cores/speeds to do a more direct comparison, etc.

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I will let @kkrysa answer you specific question, but I will plug Ampere’s Ampere Developer Program page that has a lot of good resources and the AI solutions page Artificial Intelligence Inference Performance and there are many deep dives there.

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