Meta to operate "600000 H100 GPU equivalents of compute" worth 18 billion $ by year-end for open source AGI. This explains cost cutting by tech giants.

In a race to AGI, Tech giants are prioritizing compute over hiring techies.

Google also plans to spend 25 billion $ to build one zettaflops (1000 exaflops) of compute....

Tesla plans to have compute of around 100 exaflops by around October 2024...

Same case with Microsoft.

https://www.theverge.com/2024/1/18/24042354/mark-zuckerberg-meta-agi-reorg-interview

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by WobblyNoodleSoftware Engineer

Google will quite literally have more TPUv5’s than OpenAI, Meta, CoreWeave, Oracle, and Amazon will have GPUs combined

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Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors

Compute Resources That Make Everyone Look GPU-Poor

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Meta's AI chip - game changer?

Meta's new AI chip could cut their AI training costs by 40%. Think this'll give them an edge over other FAANG in the AI race? How will Google, Amazon respond?

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by CosmicTacoGrapevine

Meta's Massive AI Bet Amid DeepSeek Challenge

U.S. markets reacted to DeepSeek's AI, causing Nvidia's stock to drop by almost 20%.
Despite this, Meta CEO Mark Zuckerberg pledged to invest heavily in AI, with plans to spend over $60 billion in 2025 alone.
Zuckerberg emphasize...