𝗠𝗲𝗺𝗼𝗿𝘆 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸

AI silicon isn’t compute-bound anymore. It’s memory-bound.

In several recent conversations (including around @ChipStartUK / Silicon Catalyst UK), one point kept coming up:
𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗱𝗼𝗺𝗶𝗻𝗮𝘁𝗲𝗱 𝗯𝘆 𝗺𝗲𝗺𝗼𝗿𝘆; 𝗼𝗳𝘁𝗲𝗻 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗵𝗮𝗹𝗳 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺.

Memory scaling has effectively stalled at ~16nm. That changes everything, making the real problem now is:

• moving data efficiently
• managing bandwidth
• controlling energy per bit

You see the same theme coming through in SemiEngineering and EE Times, the energy cost of data movement is overtaking compute so we are optimising data low flow and not just logic.

Physical implementation execution becomes a real differentiator efficiently moving and managing data at silicon level.

Read more in this EETimes article – “𝗪𝗵𝘆 𝗠𝗲𝗺𝗼𝗿𝘆, 𝗡𝗼𝘁 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 𝗪𝗶𝗹𝗹 𝗗𝗲𝗰𝗶𝗱𝗲 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗜”