The AI hardware industry is experiencing a shift towards more powerful and energy-intensive GPUs, with companies like Nvidia targeting 1000W per GPU. This hardware crunch is leading to concerns about sustainability and resource scarcity, prompting a search for alternative solutions like Groq's offerings.
"To build bigger machines—as Microsoft, Google, Meta, Amazon, and other tech companies would like to do—you need more resources," @matteo_wong writes. "And our planet is running out of them." Here's how AI makers are dealing with the problem: https://t.co/GKcFEcFusl
"Nvidia is now targeting 1000W per GPU to run the most powerful AI... Rushing virtually endless amounts of power & water through it is just not a sustainable initiative for the global economy. Hopes should be pinned on alternatives like Groq." https://t.co/XjHxTMUyIu
Very smart new piece by @matteo_wong about the hardware crunch that's defining the AI industry https://t.co/pOXDC74PLU
ICYMI: If you thought Nvidia's 700W H100s were hot and power-hungry machines, just wait until the GPU slinger's B100 arrives later this year... https://t.co/ilwgo1fa9U
Generative AI hardware – the other arms race https://t.co/HCrPHTYTli