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AMD, AI and Meta

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Shacknews · 5h

AMD & Facebook (META) announce 6-gigawatt GPU deal to expand AI infrastructure

Meta has agreed to deploy up to 6 gigawatts of AMD Instinct GPUs to build out its AI technology development and models.

· 9h

AMD Expands Meta AI Partnership With A Massive 6 Gigawatt GPU Win

· 8h · on MSN

Meta, AMD reach deal to expand AI infrastructure

· 12h

AMD clinches second mega chip supply deal, this time with Meta

AMD will supply six gigawatts' worth of chips to Meta, starting with one gigawatt of the company's forthcoming MI450 flagship hardware in the second half of this year, AMD CEO Lisa Su told a news brie...

· 10h

Facebook owner Meta to buy AI chips from AMD in deal worth up to $100 billion

· 11h

Meta agrees $60bn deal with chipmaker AMD despite AI bubble fears

· 7h

Meta to spend billions of dollars on AMD gear, buy stock

The series of transactions will be worth “double-digit billions” of dollars per gigawatt, according to AMD Chief Executive Officer Lisa Su.

· 7h

AMD shares jump as Meta agrees to chip deal worth more than $100 billion

· 8h

Meta strikes up to $100B AMD chip deal as it chases ‘personal superintelligence’

Forbes

AMD Announces MI350 GPU And Future Roadmap Details

Forbes contributors publish independent expert analyses and insights. Founder and Principal Analyst, Cambrian-AI Research LLC AMD held their now-annual Advancing AI event today in Silicon Valley, with new GPUs, new networking, new software, and even a rack ...

TweakTown

AMD's new Radeon AI PRO R9700 workstation GPU drops on July 23: full Navi 48 die and 32GB GDDR6

TL;DR: AMD will launch the Radeon AI PRO R9700 workstation GPU on July 23, featuring 32GB GDDR6 memory and RDNA 4 architecture. Optimized for AI workloads, it offers up to 496% faster inference than NVIDIA's RTX 5080 at half the price, supporting on ...

Geeky Gadgets

Which GPU Should Power Your Local AI : NVIDIA RTX 5060 Ti vs AMD RX 960 XT

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets intricate software ecosystems, choosing the right ...