Nvidia shares jumped more than nine percent after the company forecasted aggressive revenue growth. This rally follows a strategic move to acquire the open-source platform Hugging Face and a bullish outlook from leadership.
The 70 Percent Revenue Target for Fiscal 2028
Nvidia has projected a revenue growth rate of 70 percent for fiscal 2028, which spans from February 2027 to January 2028. This ambitious forecast helped the company break a four-quarter losing streak that typically followed its earnings reports, according to the report. The surge in stock price suggests that investors are finally pricing in the long-term scalability of AI infrastructure rather than focusing on short-term volatility.
CEO Jensen Huang has indicated that the actual demand within the AI industry is currently outpacing even these high growth projections. Huang described the current state of the sector as having reached an "inflection point," suggesting that the transition to AI-driven computing is accelerating faster than previous market models predicted.
How ACIE Sales Hit $40 .3 Billion
A primary driver of this financial momentum is the AI Clouds, industrial, and enterprise segment , known as ACIE. This specific division generated $40.3 billion in sales, representing a massive 138 percent increase year-over-year. As the report says, this growth reflects a diversification of Nvidia's client base, moving away from a reliance on a few large labs toward a broader enterprise adoption of AI tools.
The market reaction was further amplified by comments from Nvidia CFO Colette Kress on Wednesday. Kress's insights into the company's financial health sparked a wider rally across the semiconductor sector, signaling that Nvidia's success is acting as a tide that lifts all boats in the chip industry.
The $12.9 Billion Bet on Hugging Face
In a move to secure its influence over the AI software ecosystem, Nvidia has reportedly agreed to acquire Hugging Face, an open-source platform, for $12.9 billion. Hugging Face is widely recognized for its role in helping developers manage and control AI models that might otherwise become unstable or "out-of-control."
By integrating Hugging Face, Nvidia is attempting to bridge the gap between its dominant hardware—the GPUs—and the software layers where AI models are actually built and shared.. This acquisition suggests that Nvidia is no longer content being just the "arms dealer" of the AI war; it wants to own the platform where the weapons are designed.
TSMC Bottlenecks and the Threat of Custom Chips
Despite the financial optimism, Nvidia faces significant physical constraints. the company is currently grappling with bottlenecks at Taiwan Semiconductor Manufacturing, its primary chip manufacturer, as well as a general shortage of critical memory chips. These supply chain hurdles create a ceiling on how quickly Nvidia can convert its massive order book into actual revenue.
Furthermore, the company faces a growing threat from its own customers. Hyperscalers and AI labs , most notably OpenAI, are increasingly developing their own custom chips to reduce their dependence on Nvidia's proprietary hardware. If these entities successfully migrate to in-house silicon, Nvidia's current pricing power could be severely eroded.
The Gap Between AI Demand and TSMC Capacity
A critical unknown remains: exactly how long the bottlenecks at Taiwan Semiconductor Manufacturing will persist. While Jensen Huang highlighted improved supply chain visibility compared to a year ago, the report does not specify a timeline for when memory chip shortages will be fully resolved.
Additionally, there is a tension between the reported 70 percent growth target and Huang's claim that demand is even higher. It remains unclear whether Nvidia is intentionally under-promising to manage expectations or if the physical limits of chip fabrication make the 70 percent figure the absolute ceiling of their capability.
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