.png)
Book a call with me to grow your business with YouTube - https://calendly.com/ikostiy03/dc
I generated 45M views + helped businesses generate $100k's from YouTube in 2024
Follow me on twitter - https://twitter.com/DavidCarbutt_
Contact me here for business or sponsorships opportunities - [email protected]
Want to join a private stocks group? Click here -https://www.fejeremy.com/2024-app-pltrbtszd
📖 Reccomended Palantir Substacks
Arny Trezzi - https://arnytrezzi.substack.com/
Either Square - https://eithersquare.substack.com/
AMD CEO Lisa Su just revealed a blockbuster partnership with the U.S. Department of Energy, marking a major milestone in America’s AI race. Under the deal, AMD will deploy two new AI supercomputers using its latest MI300 and upcoming MI400 series chips, one of which will go live early next year — lightning-fast for a government rollout.
• Two DOE supercomputers powered by AMD’s MI300 & MI400 series GPUs
• Deployed at Oak Ridge National Lab, accelerating national research in AI, energy, medicine, and defense
• First-ever public-private compute partnership giving private companies like Eli Lilly & Thermo Fisher access to government AI clusters
• Builds on AMD’s growing AI presence: deals with OpenAI (6 GW GPU deployment) and Oracle (50,000 GPUs)
• AMD + IBM also teaming up to fuse quantum computing with classical compute for breakthroughs in materials and energy research
Lisa Su explained that the DOE initiative, led by Secretary Wright, aims to deliver “as much compute as possible, as fast as possible.” Unlike the usual five-year timelines, AMD is building national-scale AI infrastructure in less than 12 months.
This partnership positions AMD as the essential alternative to Nvidia, giving governments and enterprises a second high-performance option at scale. Instead of trying to replace Nvidia outright, AMD is capturing demand from companies that want multi-vendor resilience in their AI stacks.
Beyond chip sales, this is about democratizing AI access — letting researchers, startups, and scientists tap into cutting-edge compute once reserved for tech giants. If successful, it could spark a new U.S. blueprint for AI infrastructure: shared, open, and distributed rather than centralized.
Did you miss our previous article...
https://trendinginbusiness.business/trending-videos/meet-lawrence-jones-fox-newss-freethinking-totally-maga-libertarian-the-daily-show
