NVIDIA (NVDA) is positioned as a key beneficiary of surging AI infrastructure spending, with Citi's Atif Malik raising the price target to $210, citing the company's 'AI chip king' status and upcoming Rubin CPX GPU. Chautauqua Capital Management reported 'extremely solid' Q1 results, noting robust demand ex-China despite export restrictions and significant outperformance, challenging their prior overcapacity concerns, while also acknowledging NVIDIA's foundational role in quantum research via CUDA-X libraries.
NVIDIA Corporation (NASDAQ:NVDA) is one of the Best Quantum Computing Stocks to Buy and Hold for 5 Years. On September 30, Citi’s Atif Malik lifted the price target on the company’s stock from $200 to $210. As per the analyst, NVIDIA Corporation (NASDAQ:NVDA) is poised to capitalize on the surge in AI infrastructure spending over the upcoming few years. Notably, Citi raised its outlook for AI-related infrastructure spending by the well-established tech players. As the undisputed AI chip king, NVIDIA Corporation (NASDAQ:NVDA) is expected to likely sell more GPUs and related hardware as AI infrastructure spending ramps up, opines Malik. The analyst is incrementally positive on NVIDIA Corporation (NASDAQ:NVDA)’s roadmap and competitive positioning post Rubin CPX GPU launch. Notably, NVIDIA Rubin CPX is projected to be available at the end of 2026. Elsewhere, NVIDIA Corporation (NASDAQ:NVDA) believes that NVIDIA CUDA-X libraries remain the backbone of quantum research. From faster decoding of quantum errors to designing larger systems of qubits, researchers have been using GPU-accelerated tools in order to expand classical computation and bring useful quantum applications closer to reality. Chautauqua Capital Management, a division of Baird Asset Management, is a boutique investment firm that released its Q2 2025 investor letter for the “Baird Chautauqua International and Global Growth Fund”. Here is what the fund said: “NVIDIA Corporation (NASDAQ:NVDA) reported first quarter results that were extremely solid. The company took a write-down on China-specific datacenter products and flushed out any future China contributions from their guidance, following the new export restrictions introduced in April. Demand commentary ex China was extremely encouraging—Nvidia is outgrowing expectations despite supply constraints and outgrowing competing ASIC products by a large margin. We have been underweight Nvidia relative to the benchmark, which was up 46% in the quarter, given our short-to medium-term concerns that the feverish AI datacenter build may be resulting in overcapacity, which has not come to bear.” While we acknowledge the potential of NVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: 13 Cheap AI Stocks to Buy According to Analysts and 11 Unstoppable Growth Stocks to Invest in Now Disclosure: None. This article is originally published at Insider Monkey. NVIDIA's investment thesis has been reinforced by strong analyst sentiment and robust fundamental performance, despite geopolitical headwinds. Citi analyst Atif Malik raised the price target to $210, citing an upgraded outlook for AI infrastructure spending and affirming NVIDIA's position as the 'undisputed AI chip king.' This outlook is supported by a long-term product roadmap, including the Rubin CPX GPU slated for late 2026. Operationally, the company demonstrated significant resilience in its first-quarter results, which were described as 'extremely solid' by Chautauqua Capital Management. Notably, NVIDIA is outgrowing expectations with 'extremely encouraging' demand ex-China, even after taking a write-down on China-specific products and removing the region from guidance due to new export restrictions. This performance, achieved despite supply constraints and while outperforming competing ASIC products by a 'large margin,' has started to nullify previous institutional concerns about potential AI datacenter overcapacity. Furthermore, the company maintains a strategic foothold in the nascent quantum computing sector, with its CUDA-X libraries serving as a foundational 'backbone of quantum research.'
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