Micron Technology is giving me 2000 nightmares.
The collapse began July 18th, 2000 right after OpEx.This is a massive warning sign for the rest of the chip/technology sector.$MU t.co/6pIaOtK8FG pic.twitter.com/vxtHNfWey0
— Financelot (@FinanceLancelot) July 8, 2024
5 largest stocks in the S&P 500 now account for 29% of the $SPX, the highest level of concentration in AT LEAST 60 years pic.twitter.com/uL8OUkdfNc
— Win Smart, CFA (@WinfieldSmart) July 9, 2024
AI models that cost $1 billion to train are underway, $100 billion models coming — largest current models take ‘only’ $100 million to train
Last year, over 3.8 million GPUs were delivered to data centers. With Nvidia’s latest B200 AI chip costing around $30,000 to $40,000, we can surmise that Dario’s billion-dollar estimate is on track for 2024. If advancements in model/quantization research grow at the current exponential rate, then we expect hardware requirements to keep pace unless more efficient technologies like the Sohu AI chip become more prevalent.
Artificial intelligence is quickly gathering steam, and hardware innovations seem to be keeping up. So, Anthropic’s $100 billion estimate seems to be on track, especially if manufacturers like Nvidia, AMD, and Intel can deliver.
h/t DrWhatNoName