Data center sales are expected to double in 2024 to $115 billion, driven by the increasing demand for reasoning models in AI applications.

The company reported $39.3 billion in revenue for the last quarter, with projections of $43 billion for the upcoming quarter, indicating robust financial performance.

Nvidia's Blackwell chip, designed for parallel processing efficiency and enhanced performance specific to reasoning models, is set to meet the growing needs of advanced AI models.

This chip is not only focused on performance but also emphasizes energy efficiency, aligning with the industry's push for sustainable technology.

Huang noted that nearly every developer is learning from DeepSeek's R1 model, which is expected to further drive Nvidia's chip sales.

The AI market is projected to surpass $500 billion by 2028, with Nvidia leading the charge in GPU development essential for high-performance AI tasks.

Nvidia CEO Jensen Huang emphasized that reasoning AI is emerging as the new growth engine for AI chips, driving the company's innovation.

Investors and developers are encouraged to stay informed about Nvidia's developments and consider early adoption of new technologies to gain competitive advantages.

In 2024, Nvidia's revenue more than doubled, showcasing its significant success in the AI sector.

Nvidia's technology is advancing AI applications in critical areas such as drug discovery in healthcare, fraud detection in finance, and autonomous driving in the automotive industry.

Despite Nvidia's confidence in the market, analysts warn that the demand for chips could face challenges if AI models become more efficient and require fewer resources.

The rise of reasoning models, which may require up to 100 times more computational power, is increasing the demand for efficient processing units across various sectors, including natural language processing and autonomous systems.