Citi Lifts PT on NVIDIA (NVDA) Stock

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.”

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Disclosure: None. This article is originally published at Insider Monkey.