People running LLMs aren’t the target. People who use things like ChatGPT and CoPilot on low power PCs who may benefit from edge inference acceleration are. Every major LLM dreams of offloading compute on the end users. It saves them tons of money.
People running LLMs aren’t the target. People who use things like ChatGPT and CoPilot on low power PCs who may benefit from edge inference acceleration are. Every major LLM dreams of offloading compute on the end users. It saves them tons of money.
Intel sees the AI market as the way forward. NVIDIA’s AI business eclipses its graphics business by an order of magnitude now, and Intel wants in. They know that they rule the integrated graphics market, and can leverage that position to drive growth with things like edge processing for CoPilot.
Sure, but how many foods are we talking here? This sounds like probably <20 rows on a sheet, with columns for ingredients.
Tracking a single cat doesn’t seem like DB work
Why wouldn’t a simple spreadsheet and some pivot tables work?
Muh taxes! There’s probably a lot of larger priorities eating up all of Portland’s budget.
Pad, as in underneath the bench.
I’m at a loss.