Jim Cramer: Why Nvidia’s Chip Demand Accelerates

Nvidia’s AI chip demand is fueled by immediate profitability, Cramer explains

The insatiable appetite for Nvidia’s cutting-edge AI chips is not a matter of future potential, but rather a present-day reality, according to veteran investor Jim Cramer. The core driver? Customers are realizing almost instantaneous returns on their investments.

“The profits are here now, customers are using them, and they’re making a killing,” Cramer asserted on CNBC’s “Squawk on the Street.” He emphasized that the era of speculative investment in AI is over, replaced by tangible, immediate financial gains. “It’s no longer something where, like, ‘who knows if it’s going to come, and maybe one day.’ It’s right now.”

Cramer’s conviction echoes Nvidia’s stellar performance, highlighted by its recent fiscal 2027 second-quarter earnings. The company once again surpassed expectations, marking the fourth consecutive quarter of accelerating year-over-year revenue growth. Adding to the bullish sentiment, Nvidia provided a robust sales growth outlook for the upcoming fiscal year, signaling strong confidence and clear visibility into the sustained demand for AI infrastructure. The market responded swiftly, with Nvidia’s shares surging nearly 8% in the subsequent trading session.

A central tenet of the ongoing discussion surrounding Nvidia’s valuation has been the critical question of whether its clients can generate sufficient returns from their AI computing investments to justify the escalating expenditure on the company’s GPUs and networking hardware. However, Nvidia CEO Jensen Huang offered a compelling perspective during the earnings call, suggesting that the timeline for realizing these returns is significantly shorter than widely perceived.

“I heard the other day that return on investment capital is now less than a year. And we’re talking about $50 billion data centers,” Huang stated, underscoring the immense scale of these AI deployments. “And so, that tells you something about the productivity of Nvidia’s technology and the rentability of it.”

Cramer seized upon Huang’s remarks, arguing that this clarity has definitively settled the debate. “When you get a situation where you know that you can buy a product and make money with it, I think the whole thing about when is it going to be profitable is answered,” he posited.

Further validating this demand surge, Amazon delivered concrete evidence of its commitment. In a significant development, Nvidia announced an expanded partnership with Amazon Web Services (AWS). Under the terms of this enhanced collaboration, AWS will procure an additional 2 million Nvidia GPUs for deployment in 2027 and 2028, alongside incorporating Nvidia’s Vera central processing units (CPUs). Amazon also intends to leverage Nvidia’s advanced technology for its robotics initiatives.

This substantial commitment from Amazon is particularly noteworthy. Despite significant investments in developing its own proprietary AI chips, Amazon’s continued reliance on Nvidia hardware signals a strong conviction in the compelling financial advantages of deploying Nvidia’s proven technology, even as it diversifies its internal capabilities.

The willingness to invest heavily in Nvidia’s offerings is not confined to hyperscale cloud providers. Nvidia’s Chief Financial Officer, Colette Kress, indicated that growth in the current quarter will be predominantly driven by a burgeoning segment of non-hyperscaler customers. This category encompasses a dynamic range of entities, including prominent “neocloud” providers like CoreWeave and Nebius, as well as a growing number of enterprise clients.

“Another great thing: 50% of the customers are not hyperscalers,” Cramer observed, highlighting the broad-based adoption. “It’s other companies that think they can make a lot of money.” This diversification of Nvidia’s customer base underscores the widespread recognition of AI’s transformative profit-generating potential across various industries.