الاثنين، 29 مايو 2023

Intel’s next computer chip, Meteor Lake, will accelerate artificial intelligence later this year


Today’s most impressive and attention-grabbing AI tools — OpenAI’s ChatGPT, Microsoft Bing, Google Bard, and Adobe Photoshop, for example — run in data centers filled with expensive, powerful servers. But on Monday, Intel revealed details of its upcoming Meteor Lake PC processor that could help your laptop play a bigger role in the AI ​​revolution.

Meteor Lake, which is due to ship in PCs later this year, includes circuitry that speeds up some AI tasks that might drain your battery. For example, it could improve the AI ​​that recognizes you to better blur or replace backgrounds during video conferencing, said John Rayfield, Intel customer AI work lead.

AI models use methods inspired by human minds to recognize patterns in complex, real-world data. By running AI on a laptop or phone processor instead of in the cloud, you can get benefits like better privacy and security as well as faster response since there are no network delays.

What is not clear is how much AI work will actually move from the cloud to computers. Some programs, such as Adobe Photoshop and Lightroom, make extensive use of artificial intelligence to find people, skies, and other subjects in photos and many other photo editing tasks. Apps can recognize your voice and convert it into text. Microsoft is building an AI chatbot called Windows Copilot directly into its operating system. But most computing today does more traditional parts of the processor, CPU and GPU.

There is potential for construction and it will come. Adding AI acceleration directly to the chip, as has already been done with smartphone processors and Apple M-series Mac processors, could encourage developers to write more software that draws on AI capabilities.

GPUs are really good for accelerating AI, however, developers don’t have to wait for the millions of us to upgrade our Windows PCs to take advantage of them. A GPU delivers high AI performance on a PC, Rayfield said, but the new AI accelerator is good for low power. Both can be used simultaneously for best performance as well.

Meteor Lake is a flagship chip for Intel

Meteorite Lake is important for other reasons as well. It’s designed for low-power operations, which is arguably its biggest competitive weakness compared to Apple’s M-series processors. Graphics acceleration has been upgraded, which is crucial for gaming and important for some AI tasks as well.

The processor is also key Intel’s turnaround efforts over the years. It’s the first big chip to be built with Intel 4, a new manufacturing process needed to catch up with chip industry leaders Taiwan Semiconductor Manufacturing Co. (TSMC) and Samsung. It employs a new advanced manufacturing technology called Foveros that allows for this Intel stacks several more flexible and economical “chips”. In one more powerful processor.

Chipmakers are racing to cash in on the AI ​​revolution, and very few are like Nvidia, which earlier in May reported a quarter blowout thanks to It led to an increase in the demand for high-quality artificial intelligence chips. Intel sells AI chips for the data centertoo, but focused more on economy than on performance.

In PC processors, Intel calls the AI ​​Accelerator a A vision processing unit, or VPUwhich is a product family and the name stems from its name 2016 Acquisition of AI chip maker Movidius.

These days, a different kind called generative AI can create realistic images and text that look like a human. Although Meteor Lake can run one of these image generators, Stable Diffusion, large AI language models like ChatGPT just don’t fit on a laptop.

However, there is a lot of work to do to change that. LLaMA Facebook And Google’s PaLM 2 Dashboard Both are large language models designed to fit smaller “client” devices such as computers and even phones with much less memory.

“AI in the cloud … faces challenges in latency, privacy, and security, and it’s fundamentally expensive,” Rayfield said. “Over time, as we improve computing efficiency, more of this is carried over to the customer.”

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