Intel will use AI to power-efficiency manage next-gen Meteor Lake CPUs

 


【Lansheng Technology Information】Intel executives said at the Hot Chips conference that artificial intelligence will play an important role in Meteor Lake's power management ("Intel Energy Efficiency Architecture"). According to reports, Intel has injected some key artificial intelligence elements into the Meteor Lake CPU, not only to make the computing experience better and more intuitive, but also to help the chip perform internal power management.


In any case, the new AI power scheme will be applicable to future products, said Efraim Rotem, who is in charge of client SoC architecture in Intel's design engineering group. In two months, Intel will launch a new client processor that will use the new features, he said.


According to reports, the artificial intelligence in the Meteor Lake CPU will help determine the appropriate power to deliver to the CPU for a specific workload. Power will translate into frequency, which will translate into a responsive PC, yielding better performance when needed. This is a critical aspect for CPUs targeting the mobile and notebook markets, where battery time plays a huge role. AI will be an integral part of DVFS (Dynamic Voltage and Frequency Scaling).


According to Intel, AI can help systems respond 35 percent faster, and in some cases even more. Every iteration of future CPUs will benefit from this AI fusion as part of Intel's next-generation disaggregated lineup. AI can also determine when is the right time to put the CPU back into idle state, resulting in 15% power savings.


In the following example, Intel shows the SOC power consumption of an upcoming Meteor Lake CPU running with and without AI. You can see that the non-AI chips consume more power and take longer to return to idle.


The company has already made strides by offering its first hybrid architecture solutions in the form of 12th-gen Alder Lake and 13th-gen Raptor Lake CPUs. These chips include P-Core, designed for workloads that require higher performance, and E-Core, designed for high-efficiency tasks and multi-threading. Meteor Lake will continue this path with its P-Core (Redwood Cove) and E-Core (Crestmont) architectures.


As for the AI itself, Efraim Rotem of Intel's Design Engineering Group explained that in current iterations, the AI has been trained on specific scenarios for various workloads, but currently the AI does not "dynamically" learn based on user dynamics. interact. That's probably something we'll see in future generations, but for now, it's going to be designed to handle a specific set of use cases and still deliver benefits to the end user. Intel is also developing different artificial intelligence models for different user groups, and games are said to be an example mentioned by Rotem.


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