Increasing AI Energy Efficiency With Compute In Memory
- Date : 2023-11-20
- Source：Semiconductor Engineering
- Views ：142
How to process zettascale workloads and stay within a fixed power budget.
Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more than a science project.
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