NVIDIA Vs Qualcomm: Go for the Best Machine Learning Stocks

NVIDIA Vs Qualcomm: Go for the Best Machine Learning Stocks
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Here we present a comparative analysis for you to invest in the machine learning stocks

Machine learning stocks are an excellent global opportunity for current investments and future growth. Machine learning is ushering in an era once imagined only in novels. It is the reason behind the wondrous technologies like almost flawless Google search results, self-driving cars, AI, robotics, and technology-based healthcare systems. In this article, we will compare the top 2 machine learning stocks- NVIDIA and Qualcomm.

NVIDIA Corporation (NVDA) is a visual computing company worldwide. It operates in two segments: Graphics and Compute & Networking. In comparison, QUALCOMM Incorporated (QCOM) develops and commercializes foundational technologies and products used in mobile devices and other wireless products. It operates through three segments: Qualcomm CDMA Technologies (QCT); Qualcomm Technology Licensing (QTL); and Qualcomm Strategic Initiatives (QSI).

The current stock price of NVIDIA is US$221.98, a 1.91% gain from the previous close, in comparison the current stock price of Qualcomm is US$141.05, a 1.24% gain from the previous close. Both companies are experiencing historic high market caps, as they surged in price almost consistently since the onset of the pandemic.

The long-term opportunities for NVIDIA come from the ways its chips can be used by other tech companies and its current market position over competitors like Advanced Micro Devices. Not only is NVIDIA a GPU leader, but its chips are tapping into long-term growth trends in gaming, AI cloud computing, and 5G data centers. Qualcomm is banking on the next wave of cellular devices, 5G smartphones, as a potential catalyst for its business. While 5G could take a few years to fully take off, Qualcomm already has 110 5G agreements with smartphone makers and all of the major handset manufacturers for its 5G licensing.

Front-end semiconductor production is expected to meet demand in the coming quarters, driven by substantial investments in the industry. QCOM and NVDA are well-positioned to benefit from the machine learning industry tailwinds.

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