~/talk

WTF is Open Source free hardware and how is it influencing ML Data Centers

Talkat Data Science Conference 5.0 · 2019-11-19..11-20· [machine-learning]
links:none on file
slides:none on file

Open Compute Project designs and open-source hardware are concrete components used inside Facebook, Microsoft Azure, Goldman Sachs and Rackspace and this gear targets a projected $6 billion non-board market by 2021 at ~60% CAGR. Designs strip desktop leftovers, use DC busbars, remove AC PSUs and replace expensive management with a $25 Raspberry Pi; racks become cheaper and denser, servers halve energy use, custom accelerator modules (700W each, 5.6 kW servers) claim ~300x ML training speedups, and ML on cooling cuts energy 20–40%.

AI-written summary · about

  1. 0:00Start
  2. 3:52Open-Source Hardware Manufacturing
  3. 6:21Open Compute Project
  4. 19:33Accelerator Modules
  5. 22:01How Can We Make the Datacenter More Efficient
  6. 29:28How Do You Make Money in Open Source
  7. 29:55How You Make Money on Open Data
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