Nvidia Corp (NVDA) shares bounced back Monday after CEO Jensen Huang spent part of his morning reassuring investors that no, we're not in an AI bubble, and yes, the company's technology is more versatile than you might think.

The backdrop: Nvidia announced an expanded partnership with Synopsys Inc. (SNPS) aimed at revolutionizing design and engineering industries. But what really caught the market's attention was Huang's commentary on recent concerns about AI spending and competition.

A Platform Shift, Not a Bubble

Appearing on CNBC's "Squawk on the Street" alongside Synopsys CEO Sassine Ghazi, Huang was asked directly about hyperscaler spending and whether an AI bubble might be forming. His answer? Not even close.

"Most people only see the tip of the iceberg and they see a partial part of the picture," Huang explained. "At the foundation, we're going through a platform shift from classical general-purpose computing running on CPUs to a new way of doing computing, accelerated computing running on GPUs."

The argument goes like this: Moore's Law is slowing down, general-purpose computing has hit its limits, and the industry's heavy investments in GPU-powered infrastructure reflect a necessary evolution rather than speculation. It's not a bubble when the entire computing paradigm is actually changing.

The Synopsys Deal

The partnership that prompted the interview is substantial in its own right. Synopsys will tap into Nvidia's CUDA platform, physical AI capabilities, and Omniverse to reinvent tools across electronic design automation, system design, computer-aided engineering, and drug discovery.

"This is a huge deal. The partnership we're announcing today is about revolutionizing one of the most compute-intensive industries in the world, design and engineering," Huang told CNBC. "We're able to do simulations at a speed and scale unimaginable in the past."

Translation: GPU-accelerated computing is coming for some of the most demanding workflows in technology and science, not just the AI chatbots everyone talks about.

Custom Chips Aren't the Threat You Think

Huang also addressed competition from custom chips like Google's TPUs, a concern that's been weighing on the stock. Nvidia shares dropped as much as 7% last Tuesday after reports that Meta Platforms Inc. (META) was considering using Google-designed chips.

But Huang wasn't particularly worried. He pointed out that Nvidia has always faced rivals using specialized hardware, and the company's technology offers something ASICs can't match: flexibility. Accelerating complex tools like those from Synopsys requires a broad computing architecture like CUDA, which application-specific chips simply don't provide.

"What Nvidia does is much more versatile. Our technology is much more fungible," Huang said. "We're also everywhere. We're in every cloud. We're in every single OEM. We're on-prem. And we're also at the edge. And so the Nvidia opportunity is much, much larger."

In other words, sure, some hyperscalers might build custom chips for specific tasks. But Nvidia's platform works across cloud providers, hardware manufacturers, on-premise systems, and edge computing environments. That ubiquity matters.

Analyst Confidence Remains Strong

Wall Street seems to be buying what Huang is selling. Recent analyst actions have been uniformly positive, with several firms raising their price targets.

Morgan Stanley maintained an Overweight rating Monday and bumped its target to $250 from $235. Citigroup kept its Buy rating on November 20 and raised its target to $270 from $220. Barclays also maintained an Overweight rating that day with a new target of $275, up from $240. JPMorgan and Jefferies followed with Overweight and Buy ratings respectively, both setting targets at $250.

The pattern suggests analysts have high confidence in Nvidia's recent performance and future prospects, even as questions swirl about AI spending sustainability.

NVDA Price Action: Nvidia shares were up 1.13% at $179.03 at the time of publication Monday, according to market data.