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#gpu

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An #Nvidia spox said the company was evaluating its "limited" options. "Until we settle on a new product design & receive approval from the #US govt, we are effectively foreclosed from #China's $50 billion #DataCenter market."

China remains a huge #market for Nvidia, accounting for 13% of its sales in the past financial year. It's the 3rd time Nvidia has had to tailor a #GPU for the world's 2nd-largest #economy after restrictions from the US who is keen to stymie Chinese #tech development.

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The #GPU or graphics processing unit will be part of #Nvidia's latest generation #Blackwell-architecture #AI processors & is expected to be priced between $6,500 & $8,000, well below the $10,000-$12,000 the #H20 sold for, acc/to 2 of the sources.

The lower price reflects its weaker specifications & simpler manufacturing requirements.

It will be based on Nvidia's RTX Pro 6000D, a server-class graphics processor & will use conventional GDDR7 memory instead of more advanced high bandwidth memory.

🏆 Wir gratulieren Soyed Tuhin Ahmed (CDNC-Alumni), Surendra Hemaram (CDNC-Doktorand) und Prof. Dr. Mehdi B. Tahoori (CDNC-Leiter) vom Chair of Dependable Nano Computing (CDNC, ITEC, KIT) zum Best Paper Award des IEEE VLSI Test Symposium 2024 – einer der führenden Konferenzen für VLSI-Test, Zuverlässigkeit und Sicherheit.

Ihre Arbeit zeigt, wie sich Fehlerkorrektur in KI-Beschleunigern ohne klassischen ECC realisieren lässt – effizient, speichersparend und robust. Ein starker Beitrag zur Überwindung der Memory Wall!
#kitinformatik #BestPaperAward #IEEEVTS2024 #KI #GPU

Do you know what I like a lot about AMD? They love Open Source.

AMD makes sure that drivers required for their CPUs APUs & their GPUs are always available for the Open Source world

AMD also dislikes their competition hacking into the wallets of their customers.

Just look at the fact that this GPU series will be selling under USD 300 MSRP

Jump to the article read and learn

#AMD #GPU #Graphics #Processing #Unit #Drivers #OpenSource

overclock3d.net/news/gpu-displ

In un futuro non troppo lontano, le #CPU e #GPU di nuova produzione potrebbero essere destinate in via prioritaria — se non esclusiva — al mercato governativo e alle multinazionali del settore, lasciando agli utenti consumer solo processori preesistenti.
Uno scenario paradossale in cui si potrebbe arrivare a rivalutare vecchi processori, come i leggendari Motorola 68000 usati nei computer #Amiga, noti per la loro affidabilità e una vita utile di circa 10000 (!!!) anni.

shorturl.at/2o3nM