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MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes
Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.
Morning Overview on MSN
MIT’s chip stacking leap could slash energy use for hungry AI chips
Artificial intelligence is colliding with a hard physical limit: the energy it takes to move data on and off chips. Training ...
The GPU made its debut at CES alongside five other data center chips. Customers can deploy them together in a rack called the Vera Rubin NVL72 that Nvidia says ships with 220 trillion transistors, ...
These prototype processors made from atomically thin materials offer a glimpse into a post-silicon-transistor future, but scaling challenges remain. Read the paper: A complementary two-dimensional ...
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