Nvidia faces scrutiny from Warren over Pentagon AI contracts

The post Chip Stock Plunge: Nvidia (NVDA), Micron (MU), and AMD (AMD) Lead Semiconductor Sector Decline appeared on BitcoinEthereumNews.com. Key Takeaways Semiconductor stocks experienced widespread declines as profit-taking swept through the AI chip sector SpaceX shares slipped following its Nasdaq-100 addition in a textbook “sell the news” scenario Nvidia continued its decline amid reports of DeepSeek developing proprietary AI processors in China Micron remained under selling pressure even as AI memory market fundamentals stay robust Samsung’s impressive quarterly earnings growth couldn’t reverse negative sentiment in chip equities Understanding Tuesday’s Semiconductor Sector Weakness Technology stocks experienced broad-based weakness on Tuesday as market participants secured profits following an extended rally in artificial intelligence-related equities. Major players including Nvidia, Broadcom, AMD, Intel, and Micron all posted declines, dragging the Philadelphia Semiconductor Inde

Apple's resurgence highlights the dynamic nature of tech valuations, emphasizing the impact of market sentiment and sector-specific pressures. The post Apple closes valuation gap with Nvidia in race for largest US company appeared first on Crypto Briefing.

Nvidia's pivotal role in AI and crypto markets underscores its influence on tech investment trends, despite stock fluctuations and competition. The post Cramer says everything still revolves around Nvidia despite stock lag appeared first on Crypto Briefing.

The Hesai-Nvidia partnership highlights tensions between national security concerns and technological collaboration, impacting global tech alliances. The post Hesai Technology is a national security threat, according to the Pentagon, and Nvidia’s new lidar partner appeared first on Crypto Briefing.

It's early, but the plan is to reduce dependency on Nvidia and Huawei.

The post DeepSeek plans its own inference chip, a threat to Nvidia and Huawei alike appeared on BitcoinEthereumNews.com. Chinese AI startup DeepSeek is designing an in-house chip to run its models, according to sources close to the matter. The disclosure, if true, would reduce its dependence on both Nvidia and Huawei.  For a company that already forced a rethink across the industry once, the plan especially puts pressure on the American chipmaker, losing ground in China, and on the domestic suppliers racing to replace it. The race to be the leader of inference The Hangzhou firm is aiming the chip at inference, the stage where a trained model answers user queries. Inference is where AI systems earn their keep at scale, and it is the part of the market Huawei has just started to win with its Ascend line.  A DeepSeek chip built for the same job would put the startup in competition with the very homegrown supplier that Chinese tech companies have been scrambling to buy from. Since DeepSeek

AC Limited's strategic investments and partnerships could enhance UAE's influence in global tech and finance, reshaping market dynamics. The post AC Limited invests billions in Nvidia and McLaren, strengthens Wall Street ties appeared first on Crypto Briefing.

The post DeepSeek Develops Custom AI Chip as Nvidia (NVDA) Stock Falls 2% appeared on BitcoinEthereumNews.com. Key Takeaways DeepSeek is creating a proprietary AI semiconductor tailored for inference operations rather than training This strategic shift aims to decrease dependence on Nvidia and Huawei processors Nvidia stock declined approximately 2% during premarket hours following the announcement The semiconductor project remains in preliminary phases, with DeepSeek discreetly recruiting chip design specialists The company is simultaneously pursuing $7 billion in its inaugural external investment round According to three informed sources, Chinese artificial intelligence company DeepSeek has initiated development of a proprietary semiconductor. This processor is specifically engineered for inference tasks—the computational process that enables AI systems to generate outputs—as opposed to the resource-intensive training of new models. DeepSeek is reportedly developing its own AI chip,