Technical analysis by moonypto about Symbol NVDAX: Buy recommendation (10/7/2025)

moonypto
نبرد بزرگ هوش مصنوعی: برندگان، بازندگان و مسیرهای متفاوت سه غول تراشه

The semiconductor landscape today revolves around the explosive demand for AI computing. Hyperscalers are spending hundreds of billions to expand infrastructure, and nearly every part of the chip supply chain is feeling the effects , from processors to memory and cooling systems. The biggest story remains in high performance GPUs and custom silicon, where three major U.S players have taken distinct paths: one dominating, one chasing, and one struggling to stay relevant NVIDIA NVIDIA’s growth has been nothing short of extraordinary. Its revenue has soared over 50% year over year , a rare feat for a company of its scale. The firm has managed to sustain momentum despite export restrictions to China, which have limited access to a major market. The key driver remains its dominance in GPUs used for AI training and inference. Beyond raw hardware performance, the company’s real advantage lies in its software ecosystem, particularly its proprietary programming platform. This framework allows developers and enterprises to optimize workloads efficiently, making its products a near default choice for AI infrastructure While competitors are experimenting with custom chips and alternatives, demand for GPUs remains off the charts. Some investors worry the current boom could cool if infrastructure spending slows or if AI returns fail to justify costs. But as of now, the company’s valuation looks more reasonable than the hype suggests, earnings have grown even faster than the stock price. AMD AMD sits in a complex middle ground. It’s positioned as the main alternative supplier of AI GPUs but remains well behind in both market share and ecosystem maturity. The company’s recent data center chip has gained some traction, generating several billion dollars in new AI related revenue from zero just a year earlier , an impressive jump, though still a fraction of the leader’s output The main challenges are technical and cultural. Performance lags by roughly a product generation, and software support is still catching up. Its open source framework has improved, but the learning curve and lack of optimization make it harder for developers to switch. That said, even modest share gains in a market projected to reach hundreds of billions in annual spend could translate into meaningful revenue. AMD doesn’t need to dominate; capturing 5–10% of the pie would be a major success. Still, it needs to prove that customers are buying its chips for performance ,not just as a hedge against overreliance on one supplier. Intel Intel’s situation is the most troubled. Once the standard bearer for chip innovation, the company has spent the past decade losing ground , first in mobile, now in AI. Its attempts to enter the accelerator market with an in-house AI chip have underperformed expectations, missing even modest revenue targets. The larger issue is structural. Intel lost its manufacturing leadership years ago and has struggled to regain it. Its new foundry strategy aims to rebuild credibility by fabricating chips for others, but so far, there’s little customer traction. Heavy capital spending has drained cash flow, and the turnaround depends on process technologies that remain unproven at scale. Meanwhile, in its traditional businesses, competitors have eaten into its server and PC market share. The company still plays a crucial role in the global semiconductor ecosystem, but investors see it as a long-term restructuring story rather than a near-term growth one. I think the AI hardware market is still early in its cycle. The dominant player continues to lead on performance, ecosystem, and profitability. The main challenger offers potential upside if it can close the software gap. The legacy incumbent, despite deep pockets and government backing, faces the toughest road ahead. The key question for investors isn’t which company wins the quarter , it’s whether the overall AI infrastructure buildout continues at its current pace. As long as demand for compute keeps growing, all three will have a role to play, but their trajectories couldn’t be more different.