AC Milan fan since Maldini's days. ๐ฅ The Rossoneri are back on top. ๐๏ธ San Siro is where the magic happens. #SempreMilan#SerieA#UCL#Ibrahimovic
@zerohedge Thatโs pricing power. A 15%+ increase amid soaring memory costs shows just how strong demand for NVIDIA AI infrastructure remains. The real question is whether customers keep paying up, if they do, it reinforces NVIDIAโs moat and the scale of the AI buildout.
@Crypto_Crib_ Thatโs a significant signal. China still wants NVIDIA compute even while building its own chip industry. Rather than forcing a complete decoupling, keeping NVIDIA hardware in the ecosystem gives U.S. technology continued influence.
@Reuters Thatโs a massive commitment, but it also shows how capital-intensive the AI buildout has become. NVIDIA isnโt just selling GPUs anymore, itโs increasingly tied to financing and enabling the infrastructure needed to deploy them at scale. The real question is whether demand.
@namd1nh This highlights the tension between national security and technological leadership. Restricting access to open-weight models could also limit research, interoperability, and the tools available to developers and defenders.
@wccftech Memory supply has become one of the biggest variables in the GPU market. It's a reminder that GPU pricing isn't driven solely by NVIDIA or AMD, it's influenced by the broader semiconductor supply chain, especially high-bandwidth memory and GDDR availability.
@kirako0o That's the key point. Demand for AI compute in China didn't disappear, it shifted. Restrictions accelerated investment in domestic alternatives while reinforcing how strategically important NVIDIA's technology had become.