brainsteam.co.uk/brainsteam/content/annotations/2023/01/22/1674385638.md

date	hypothesis-meta	in-reply-to	tags	type	url
2023-01-22T11:07:18	created document flagged group hidden id links permissions tags target text updated uri user user_info 2023-01-22T11:07:18.838647+00:00 title Who Owns the Generative AI Platform? | Andreessen Horowitz false __world__ false 771i6ppEEe2RxNtz0udwZw html incontext json https://hypothes.is/a/771i6ppEEe2RxNtz0udwZw https://hyp.is/771i6ppEEe2RxNtz0udwZw/a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ https://hypothes.is/api/annotations/771i6ppEEe2RxNtz0udwZw admin delete read update acct:ravenscroftj@hypothes.is acct:ravenscroftj@hypothes.is group:__world__ acct:ravenscroftj@hypothes.is ai generative ai gpu selector source endContainer endOffset startContainer startOffset type /div[1]/div[1]/main[1]/div[1]/div[1]/article[1]/main[1]/div[1]/div[1]/div[1]/div[1]/p[35]/span[2] 111 /div[1]/div[1]/main[1]/div[1]/div[1]/article[1]/main[1]/div[1]/div[1]/div[1]/div[1]/p[35]/span[1] 0 RangeSelector end start type 23838 23155 TextPositionSelector exact prefix suffix type Other hardware options do exist, including Google Tensor Processing Units (TPUs); AMD Instinct GPUs; AWS Inferentia and Trainium chips; and AI accelerators from startups like Cerebras, Sambanova, and Graphcore. Intel, late to the game, is also entering the market with their high-end Habana chips and Ponte Vecchio GPUs. But so far, few of these new chips have taken significant market share. The two exceptions to watch are Google, whose TPUs have gained traction in the Stable Diffusion community and in some large GCP deals, and TSMC, who is believed to manufacture all of the chips listed here, including Nvidia GPUs (Intel uses a mix of its own fabs and TSMC to make its chips). top AI chip startups combined. Infrastructure is, in other wor TextQuoteSelector https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ Look at market share for tensorflow and pytorch which both offer first-class nvidia support and likely spells out the story. If you are getting in to AI you go learn one of those frameworks and they tell you to install CUDA 2023-01-22T11:07:18.838647+00:00 https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/ acct:ravenscroftj@hypothes.is display_name James Ravenscroft	https://a16z.com/2023/01/19/who-owns-the-generative-ai-platform/	ai generative ai gpu hypothesis	annotation	/annotations/2023/01/22/1674385638

Other hardware options do exist, including Google Tensor Processing Units (TPUs); AMD Instinct GPUs; AWS Inferentia and Trainium chips; and AI accelerators from startups like Cerebras, Sambanova, and Graphcore. Intel, late to the game, is also entering the market with their high-end Habana chips and Ponte Vecchio GPUs. But so far, few of these new chips have taken significant market share. The two exceptions to watch are Google, whose TPUs have gained traction in the Stable Diffusion community and in some large GCP deals, and TSMC, who is believed to manufacture all of the chips listed here, including Nvidia GPUs (Intel uses a mix of its own fabs and TSMC to make its chips).

Look at market share for tensorflow and pytorch which both offer first-class nvidia support and likely spells out the story. If you are getting in to AI you go learn one of those frameworks and they tell you to install CUDA