Why are we serving up chips?
Goal 2- Zero Hunger,Goal 7- Affordable and Clean Energy,Goal 9- Industry, Innovation and Infrastructure
- closedStatus
- 5Current Volunteer
- 15Volunteers Needed
- July 12, 2019Start Date
- June 14, 2019End Date
- .
Objective:
Create a 'take one, leave one' book swap to promote literacy
Description:
Custom hardware is usually the only option available to organisations that need to achieve the ultimate level of performance for AI applications. But Nvidia has taken massive strides in flipping the unique selling point of its graphics processor units from the ultimate 2D and 3D rendering demanded by hard core gamers to the world of accelerated machine learning.
While it has been late to the game, Intel, has quickly built out a set of technologies from field programmable gate arrays (FPGA) to processor cores optimised for machine learning.
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