
Intel's new products, the Xeon 6 processors and Gaudi 3 AI accelerator, aim to improve data center performance and efficiency in several ways1. The Xeon 6 processors are designed with Efficient-cores (E-cores) and Performance-cores (P-cores) to address a broad array of use cases and workloads. The E-cores focus on improving performance and power efficiency for high-density, scale-out workloads, while the P-cores target compute-intensive workloads like AI and computer vision1.
The Xeon 6 processors enable rack-level consolidation of 3-to-1, providing customers with a rack-level performance gain of up to 4.2x and performance per watt gain of up to 2.6x when compared with 2nd Gen Intel Xeon processors on media transcode workloads. By using less power and rack space, Xeon 6 processors free up compute capacity and infrastructure for innovative new AI projects.
On the other hand, the Gaudi 3 AI accelerator is designed to deliver a significant leap in AI training and inference for global enterprises looking to deploy GenAI at scale. It offers 4x more AI compute for BF16 and a 1.5x increase in memory bandwidth over its predecessor. The accelerator is projected to deliver 50% faster time-to-train on average across Llama2 models with 7B and 13B parameters and GPT-3 175B parameter model. Additionally, Gaudi 3 accelerator inference throughput is projected to outperform the H100 by 50% on average and 40% for inference power efficiency averaged across Llama 7B and 70B parameters and Falcon 180B parameter models.
By combining the capabilities of the Xeon 6 processors and Gaudi 3 AI accelerator, Intel aims to provide data centers with improved performance, power efficiency, and lower total cost of ownership, enabling enterprises to scale their AI initiatives more effectively.

Nvidia's stock price adjustment through a 10-for-1 stock split aimed to make stock ownership more accessible to employees and investors3. Prior to the split, Nvidia's stock price was around $1,100 per share, which might have been too expensive for some investors. After the split, the stock price was reduced to around $110 per share, making it more affordable for a wider range of investors and employees to purchase shares.
The stock split did not change the total value of the shares owned by existing shareholders. For example, if an investor owned one share of Nvidia worth $1,100 before the split, they would own 10 shares worth $110 each after the split, maintaining the same total value of $1,100.
Stock splits can generate excitement among investors, as they often signal a company's confidence in its future growth and performance. Additionally, a lower share price can make a company more attractive to retail investors, as it appears more affordable. However, it's important to note that a stock split does not change a company's underlying fundamentals or its market capitalization.

Analysts predict that the AI market will surpass $1 trillion by the end of the decade. This growth is driven by increasing adoption of AI technologies across various industries, including automotive, healthcare, retail, finance, and manufacturing1. The continuous research and innovation directed by tech giants such as Amazon, Google, Apple, Facebook, International Business Machines Corporation, and Microsoft are also contributing to the expansion of the AI market1. These companies are investing significantly in research and development (R&D) of AI, thus increasing the artificial intelligence market cap.