# Market sizing Akash's beachhead use cases

- **Speaker:** Greg Osuri
- **Attribution:** attributed
- **Said:** 2018-08-31
- **Theme:** Other — https://www.gregosuri.com/predictions/other/
- **Source:** "Crypto Stories: A Primer on Distributed Computing with Dani Grant, Dan Desjardins, Chandler Song, and Greg Osuri" (Village Global's Venture Stories)
- **Watch at:** 00:11:49 — https://podcasts.apple.com/us/podcast/crypto-stories-a-primer-on-distributed-computing/id1316769266?i=1000499161936
- **Canonical:** https://www.gregosuri.com/predictions/other/2018-08-31-market-sizing-akash-s-beachhead-use-cases-xekn/
- **Cite as:** Greg Osuri, "Market sizing Akash's beachhead use cases," "Crypto Stories: A Primer on Distributed Computing with Dani Grant, Dan Desjardins, Chandler Song, and Greg Osuri" (Village Global's Venture Stories), 31 Aug 2018, 00:11:49. https://podcasts.apple.com/us/podcast/crypto-stories-a-primer-on-distributed-computing/id1316769266?i=1000499161936

## Quote — verbatim

> Which is not a small market. It's about $10 billion market. And then we moved on to CI CD \[pipelines\], which is about $30 billion market. And machine learning workloads is about $60 billion market. So that's how we're looking at go to market.

## Context — site annotation, not spoken

Performance testing → CI/CD → ML workloads as sequential beachheads, explicitly modeled on AWS's 2007 low-friction S3 entry. Notable that ML workloads were already the target end-market in 2018.