HomeBusinessNvidia stock will rise over the next twelve months

Nvidia stock will rise over the next twelve months

Nvidia (NASDAQ: NVDA) is the world’s largest provider of graphics processing units (GPUs) for data centers, which are used in the development of artificial intelligence (AI). In the past two years alone, GPU sales have helped Nvidia add $3.2 trillion to its valuation.

The company just reported results for the third quarter of fiscal 2025 (ending October 27) after the market closed on November 20, and they shattered Wall Street expectations. It has just started shipping a new generation of GPUs based on the powerful Blackwell architecture, and demand far exceeds supply.

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Still, the stock fell 2.5% in after-hours trading after the third-quarter report. I predict shares will rise over the next twelve months, so here’s why any weakness can be a buying opportunity.

Image source: Nvidia.

Historically, data centers were built with central processing units (CPUs), which were ideal for performing a small number of specific tasks with high efficiency. However, GPUs are designed for parallel processing, meaning they can run multiple tasks simultaneously at very high throughput.

That’s critical when it comes to training AI models and performing AI inference, because these workloads require chips that can quickly absorb and process trillions of data points.

GPUs built on Nvidia’s Hopper architecture – like the H100 and H200 – have been the best choice for AI development so far. Data center operators love Microsoft And Amazon buying tens of thousands of those GPUs and leasing their computing power to companies and AI developers who can’t afford to build their own infrastructure (a single H100 can sell for as much as $40,000).

Now a new era of AI computing has arrived with Nvidia’s Blackwell GPU architecture. The Blackwell-based GB200 NVL72 system can perform AI inference 30 times faster than the equivalent H100 system.

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A recent estimate suggests that an individual GB200 GPU within an NVL72 system costs around $83,333, so developers get a 30-fold increase in AI inference performance for just a two-fold price increase compared to the H100.

In other words, the Blackwell GPUs should deliver an incredible increase in cost efficiency so that more companies and developers can afford to deploy the most advanced AI large language models (LLMs).

Nvidia shipped 13,000 Blackwell GPU samples to customers in the third quarter. Microsoft, Delland CoreWeave have already started building data centers in Blackwell, and Oracle customers will soon have access to computing clusters with as many as 131,000 Blackwell GPUs.

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