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Is This Artificial Intelligence (AI) Stock the Next Nvidia?
The Motley Fool· 2025-08-25 08:12
CoreWeave is a hot AI stock, but it doesn't have Nvidia's long-term advantages.Nvidia (NVDA 1.65%) has been one of the best plays on the booming artificial intelligence (AI) market over the past decade. From fiscal 2015 to fiscal 2025 (which ended this January), its revenue grew at a CAGR of 39% as its EPS increased at a CAGR of 58%.Most of that growth was driven by its brisk sales of data center GPUs, which are used to process complex machine learning and AI tasks. Nvidia now controls more than 90% of the ...
Intel Might Be Quitting the AI Training Market for Good
The Motley Fool· 2025-07-16 10:15
Core Viewpoint - Intel is scaling back its efforts in the AI accelerator market, particularly in AI training, as it acknowledges the dominance of Nvidia and shifts focus towards AI inference and emerging opportunities in agentic AI [1][2][6][11] AI Training Market - Intel has abandoned its Gaudi line of AI chips due to immature software and an unfamiliar architecture, leading to the cancellation of Falcon Shores, which was intended to succeed Gaudi 3 [1] - CEO Lip-Bu Tan stated that it is "too late" for Intel to catch up in the AI training market, recognizing Nvidia's strong market position [2][11] AI Inference Market - AI inference, which utilizes trained models, is seen as a potentially larger market than AI training, with companies like Cloudflare predicting its growth [6] - Intel plans to focus on AI inference and agentic AI, which are emerging areas with significant potential [7][11] Market Opportunities - There is a growing trend towards smaller, more efficient AI models that can run on less expensive hardware, presenting a market opportunity for Intel [9] - Intel could still succeed in AI chips for edge data centers and devices designed to run fully trained AI models [8] Rack-Scale AI Solutions - It remains uncertain whether Intel will continue developing rack-scale AI solutions, as the future of Jaguar Shores is unclear following Tan's statements [10]