Apple plans to use M2 Ultra chips in the cloud for AI
Apple |
Apple Inc. is a multinational technology company headquartered in Cupertino, California. Apple designs, manufactures, and sells consumer electronics, computer software, and online services.
|
Founded |
April 1, 1976 |
Founders |
Steve Jobs, Steve Wozniak, Ronald Wayne |
Revenue |
$260.2 billion (2019) |
Number of Employees |
137,000 (2019) |
Products |
Apple's product range includes iPhone, iPad, Mac, Apple Watch, Apple TV, HomePod, software applications, and various services like Apple Music, Apple News, and iCloud.
|
Website |
https://www.apple.com/ |
Apple, the renowned tech giant, is reportedly planning to use its next-gen M2 Ultra chips in the cloud for artificial intelligence (AI) applications, according to insider reports. This move by Apple signifies a major step forward in its AI capabilities and demonstrates the company's commitment to advancing AI technology.
The M2 Ultra chips are expected to feature enhanced performance and efficiency compared to their predecessors. With advanced AI capabilities, these chips will empower Apple's cloud infrastructure to handle complex AI tasks efficiently and effectively.
By utilizing AI in the cloud, Apple can leverage large-scale computing power to process massive amounts of data in real-time. This will enable the company to enhance various AI-powered services, including Siri, facial recognition, natural language processing, and more.
With the integration of the M2 Ultra chips, Apple aims to provide users with faster and more accurate AI experiences across its various devices. The improved AI capabilities will allow Apple devices to better understand and respond to user requests, resulting in a more seamless and intuitive user experience.
Moreover, by leveraging the cloud for AI, Apple can easily update and improve its AI models, as the heavy computing tasks will be handled remotely. This will ensure that Apple's AI services constantly evolve and stay at the forefront of technological advancements.
Apple's move towards utilizing M2 Ultra chips in the cloud for AI highlights the growing importance of AI in the tech industry. As AI continues to gain momentum, tech companies are investing heavily in AI research and development to deliver innovative solutions and services to users.
Apple has always been at the forefront of technological innovation, and this latest development further solidifies its position as a leader in AI technology. As the company continues to explore new possibilities with the M2 Ultra chips, users can expect even more powerful and intelligent AI-driven features in the future.
|
![](data:image/png;base64,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)
Sure! Here is the information presented in an HTML table format:
```
Question |
Answer |
What are Apple's plans for generative AI? |
Apple plans to start its foray into generative AI by offloading complex queries to M2 Ultra chips in data centers, followed by the more advanced M4 chips. |
Where will Apple deploy its M2 Ultra chips? |
Apple plans to put its M2 Ultra chips on cloud servers to run more complex AI queries, while simple tasks will be processed on devices. |
What was the initial project name for Apple's custom chips in data centers? |
The project was initially called Project ACDC, or Apple Chips in Data Center, as reported by The Wall Street Journal. |
Why did Apple change its approach to custom chips for data centers? |
Apple now believes that its existing processors already have sufficient security and privacy components. |
Where will the chips be deployed? |
The chips will be deployed to Apple's data centers and eventually to servers run by third parties. |
Where is Apple working on a new data center? |
Apple has been working on a new center in Waukee, Iowa, as it announced in 2017. |
How has Apple been researching generative AI? |
Apple has been putting out research on generative AI technology and released MLX, a machine learning framework that can make AI models run efficiently on Apple silicon. |
What emphasis did Apple put on AI performance in its announcement? |
Apple described its new M4 chip's neural engine as "an outrageously powerful chip for AI." |
```
(Note: This table assumes you will wrap it within the necessary HTML tags for it to be rendered properly in a web browser.)
![](data:image/png;base64,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)
Apple intends to commence its venture into generative AI by transferring complex queries to M2 Ultra chips operating in data centers, before eventually transitioning to its more advanced M4 chips. Bloomberg has reported that Apple plans to utilize its M2 Ultra on cloud servers for processing intricate AI queries, while simple tasks will be handled by devices. The Wall Street Journal previously disclosed Apple's desire to develop customized chips for data centers in order to ensure security and privacy, referring to this initiative as Project ACDC, or Apple Chips in Data Center. However, the company now believes that its current processors possess adequate security and privacy features. These chips will be deployed in Apple's data centers and, eventually, in servers managed by third parties. Apple operates its own servers throughout the United States and has been engaged in building a new facility in Waukee, Iowa, which was originally announced in 2017. Although Apple has not progressed as rapidly in generative AI as its competitors such as Google, Meta, and Microsoft, the company has been actively conducting research in this field. In December, Apple's machine learning research team introduced MLX, a machine learning framework that facilitates efficient execution of AI models on Apple silicon. Moreover, the company has been publishing additional research relating to AI models that offer insights into the future of AI on Apple devices and potential enhancements to existing products like Siri. In the unveiling of the new M4 chip, Apple emphasized its significant advancements in AI performance, particularly highlighting the power of the neural engine for AI processing. |
![](data:image/png;base64,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)
| Technical Detail |
|------------------------------------------------------|
| Apple plans to use M2 Ultra chips in the cloud for AI |
![](data:image/png;base64,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)
|