We use cookies to understand how you use our site and to improve your experience.
This includes personalizing content and advertising.
By pressing "Accept All" or closing out of this banner, you consent to the use of all cookies and similar technologies and the sharing of information they collect with third parties.
You can reject marketing cookies by pressing "Deny Optional," but we still use essential, performance, and functional cookies.
In addition, whether you "Accept All," Deny Optional," click the X or otherwise continue to use the site, you accept our Privacy Policy and Terms of Service, revised from time to time.
You are being directed to ZacksTrade, a division of LBMZ Securities and licensed broker-dealer. ZacksTrade and Zacks.com are separate companies. The web link between the two companies is not a solicitation or offer to invest in a particular security or type of security. ZacksTrade does not endorse or adopt any particular investment strategy, any analyst opinion/rating/report or any approach to evaluating individual securities.
If you wish to go to ZacksTrade, click OK. If you do not, click Cancel.
NVIDIA's AI Factory Vision: Can It Further Boost Data Center Growth?
Read MoreHide Full Article
Key Takeaways
NVIDIA is expanding its AI factory strategy to scale AI workloads and drive data center business growth.
Data center revenues grew 75% YoY to $62B in Q4 and 68% to $194B in fiscal 2026.
The consensus mark estimates that data center revenues will grow 68% YoY to $326B in fiscal 2027.
NVIDIA Corporation (NVDA - Free Report) is expanding its data center strategy through its “AI factory” (artificial intelligence factory) vision, and this move could further accelerate growth in its largest business segment. The company’s data center revenues already reached about $62 billion in the fourth quarter of fiscal 2026, rising 75% year over year. In full-fiscal 2026, the segment’s revenues grew 68% year over year to nearly $194 billion, showing how central it has become.
An AI factory is a specialized infrastructure designed to turn raw data into usable intelligence at scale. It manages the full AI lifecycle, from data ingestion to training and inference. Unlike traditional data centers, these systems are built specifically for AI workloads, using tightly integrated graphics processing units (GPUs), networking and software to maximize output.
This shift is important because global AI infrastructure spending is rising rapidly. In 2026 alone, top tech companies, including Amazon, Alphabet, Meta, Microsoft and Oracle, are projected to spend $660-$690 billion on AI data center expansions, according to a report by independent research firm The Futurum Group. NVIDIA is positioning itself at the center of this wave by offering full-stack solutions, including chips, interconnects and software platforms.
The AI factory model also increases NVIDIA’s revenue opportunity per customer. Instead of selling individual GPUs, the company can deliver complete systems and recurring software value. Partnerships with enterprises and cloud providers further expand this ecosystem. NVIDIA’s early lead and integrated approach give it a strong advantage. If AI adoption continues to scale across industries, the AI factory vision could become a long-term growth engine for the company.
Analysts’ projections also suggest that the company will continue to register strong revenue growth in its data center business. The Zacks Consensus Estimate for fiscal 2027 data center revenues is currently pegged at approximately $325.62 billion, indicating a year-over-year increase of 68%.
NVIDIA’s Competitors in AI Data Center Space
Advanced Micro Devices, Inc. (AMD - Free Report) and Intel Corporation (INTC - Free Report) are two major companies that are competing closely with NVIDIA in the AI data center space.
Advanced Micro Devices is gaining traction with its MI300 series accelerators, which are designed to handle training and inference for large AI models. AMD’s chips have attracted interest from major cloud providers seeking diversification beyond NVIDIA’s ecosystem. While Advanced Micro Devices’ software stack is still developing, its performance and pricing advantages make it a credible alternative.
Intel is also reasserting its presence with the Gaudi series of AI accelerators. The company is positioning Gaudi3 as a cost-effective and scalable option for AI data centers, targeting enterprise clients looking for flexibility. Intel’s broad reach in CPUs and server infrastructure helps it integrate AI solutions more easily into existing systems.
NVIDIA’s Price Performance, Valuation and Estimates
Shares of NVIDIA have surged around 68.5% over the past year compared with the Zacks Computer and Technology sector’s gain of 44.5%.
NVIDIA One-Year Price Return Performance
Image Source: Zacks Investment Research
From a valuation standpoint, NVDA trades at a forward price-to-earnings ratio of 22.17, below the sector’s average of 23.46.
NVIDIA Forward 12-Month P/E Ratio
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for NVIDIA’s fiscal 2027 and 2028 earnings implies a year-over-year increase of approximately 68.3% and 31.4%, respectively. Estimates for fiscal 2027 have been revised downward over the past 30 days, while estimates for fiscal 2028 have been revised upward during the same time frame.
View the Zacks #1 Rank List
Image: Bigstock
NVIDIA's AI Factory Vision: Can It Further Boost Data Center Growth?
Key Takeaways
NVIDIA Corporation (NVDA - Free Report) is expanding its data center strategy through its “AI factory” (artificial intelligence factory) vision, and this move could further accelerate growth in its largest business segment. The company’s data center revenues already reached about $62 billion in the fourth quarter of fiscal 2026, rising 75% year over year. In full-fiscal 2026, the segment’s revenues grew 68% year over year to nearly $194 billion, showing how central it has become.
An AI factory is a specialized infrastructure designed to turn raw data into usable intelligence at scale. It manages the full AI lifecycle, from data ingestion to training and inference. Unlike traditional data centers, these systems are built specifically for AI workloads, using tightly integrated graphics processing units (GPUs), networking and software to maximize output.
This shift is important because global AI infrastructure spending is rising rapidly. In 2026 alone, top tech companies, including Amazon, Alphabet, Meta, Microsoft and Oracle, are projected to spend $660-$690 billion on AI data center expansions, according to a report by independent research firm The Futurum Group. NVIDIA is positioning itself at the center of this wave by offering full-stack solutions, including chips, interconnects and software platforms.
The AI factory model also increases NVIDIA’s revenue opportunity per customer. Instead of selling individual GPUs, the company can deliver complete systems and recurring software value. Partnerships with enterprises and cloud providers further expand this ecosystem. NVIDIA’s early lead and integrated approach give it a strong advantage. If AI adoption continues to scale across industries, the AI factory vision could become a long-term growth engine for the company.
Analysts’ projections also suggest that the company will continue to register strong revenue growth in its data center business. The Zacks Consensus Estimate for fiscal 2027 data center revenues is currently pegged at approximately $325.62 billion, indicating a year-over-year increase of 68%.
NVIDIA’s Competitors in AI Data Center Space
Advanced Micro Devices, Inc. (AMD - Free Report) and Intel Corporation (INTC - Free Report) are two major companies that are competing closely with NVIDIA in the AI data center space.
Advanced Micro Devices is gaining traction with its MI300 series accelerators, which are designed to handle training and inference for large AI models. AMD’s chips have attracted interest from major cloud providers seeking diversification beyond NVIDIA’s ecosystem. While Advanced Micro Devices’ software stack is still developing, its performance and pricing advantages make it a credible alternative.
Intel is also reasserting its presence with the Gaudi series of AI accelerators. The company is positioning Gaudi3 as a cost-effective and scalable option for AI data centers, targeting enterprise clients looking for flexibility. Intel’s broad reach in CPUs and server infrastructure helps it integrate AI solutions more easily into existing systems.
NVIDIA’s Price Performance, Valuation and Estimates
Shares of NVIDIA have surged around 68.5% over the past year compared with the Zacks Computer and Technology sector’s gain of 44.5%.
NVIDIA One-Year Price Return Performance
Image Source: Zacks Investment Research
From a valuation standpoint, NVDA trades at a forward price-to-earnings ratio of 22.17, below the sector’s average of 23.46.
NVIDIA Forward 12-Month P/E Ratio
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for NVIDIA’s fiscal 2027 and 2028 earnings implies a year-over-year increase of approximately 68.3% and 31.4%, respectively. Estimates for fiscal 2027 have been revised downward over the past 30 days, while estimates for fiscal 2028 have been revised upward during the same time frame.
Image Source: Zacks Investment Research
NVIDIA currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.