2 Top Tech Stocks to Buy Right Now

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The stock market had a solid 2024, powered by the technology sector, even as the outsized theme of artificial intelligence (AI) continued to feed investors' appetite for outsized returns. But the bull rally seems far from over.

While the stock market could take a breather over the next few months, technology stocks, riding on trends such as predictive AI, cloud computing, automation, digitization, cybersecurity, semiconductors, and other advanced technologies, should gain even in 2025. Investors can benefit from these trends by picking up small stakes in high-quality, fundamentally strong technology stocks. Here's why the following two stocks fit the bill.

Nvidia: Continuing to drive AI-based computing in data centers and beyond

Looking at Nvidia's (NASDAQ: NVDA) product roadmap and financial performance, there is a lot to be excited about.

Nvidia is the indisputable leader in the discrete graphics processing unit (GPU) market, with a 90% share. While its Hopper architecture GPUs continue to be in high demand, the upcoming Blackwell architecture GPUs should also drive demand from hyperscalers, and are expected to far outpace supply.

With GPU-powered machine learning-based computing rapidly augmenting traditional CPU-based computing across data centers globally, CEO Jensen Huang expects at least $1 trillion worth installed base of data centers will need upgrading to accelerated computing by 2027. This will be a major growth opportunity for Nvidia. Plus, the chipmaker is also seeing huge scope presented by AI services that operate 24/7 -- also known as AI factories.

Furthermore, the company's Compute Unified Device Architecture (CUDA) software stack developed for parallel programming of GPUs is playing a critical role in helping Nvidia maintain dominance in the AI-optimized GPU space. Used by nearly 4 million developers across more than 3,000 applications, CUDA has emerged as a strong moat for Nvidia.

CEO Jensen Huang also made some major product announcements at CES 2025. The company released a personal AI supercomputer called NVIDIA Project DIGITS, which uses the new NVIDIA GB10 Grace Blackwell superchip. Priced at $3,000 apiece, this AI supercomputer enables developers to run inferencing for large language models (LLMs) up to 200-billion-parameters independently.

Expanding access to AI supercomputing capabilities can prove to be a major growth catalyst for the company in the coming years.

Besides digital AI capabilities, Nvidia is making rapid progress in the fast-evolving physical AI space. The company has launched the Cosmos World foundation model platform to ensure more effective development, training, and deployment of physical AI solutions such as autonomous vehicles and robots. Since physical AI models are complicated, costly, and time-consuming to develop and test, the Cosmos platform helps accelerate and simplify it for developers.