Maxim Integrated

Assembly Line

Edge-Inference Architectures Proliferate

πŸ“… Date:

✍️ Author: Bryon Moyer

πŸ”– Topics: AI, machine learning, edge computing

🏭 Vertical: Semiconductor

🏒 Organizations: Cadence, Hailo, Google, Flex Logix, BrainChip, Synopsys, GrAI Matter, Deep Vision, Maxim Integrated


What makes one AI system better than another depends on a lot of different factors, including some that aren’t entirely clear.

The new offerings exhibit a wide range of structure, technology, and optimization goals. All must be gentle on power, but some target wired devices while others target battery-powered devices, giving different power/performance targets. While no single architecture is expected to solve every problem, the industry is in a phase of proliferation, not consolidation. It will be a while before the dust settles on the preferred architectures.

Read more at Semiconductor Engineering