Shulou(Shulou.com)12/24 Report--

CTOnews.com news on December 7, Intel released an article today, answering netizens' questions about AI PC.

First, Intel says it was the first to come up with the concept of AI PC-a concept that Intel CEO Pat Kissinger put forward in Silicon Valley in September this year.

As for what AI PC is, Intel said that AI PC is a PC that can play with AI functions. AI can change and reshape the user experience of PC fundamentally through the close collaboration of cloud and PC, or running the large language model independently on the computer side, thus releasing people's productivity and creativity.

As for the usefulness of AI PC, Intel says AI PC is far more capable than you think. AI enters people's life circle, and with Intel Core Ultra processor, AI PC will be popular. People can use the AI function more easily and easily. Everyone can show his artistic talent. All kinds of video producers, music creators and creative designers will enjoy a wonderful life. The functions of AI PC are all-inclusive, including AI dubbing, voice variation, video conference eye correction, as well as generative AI, such as Wen Sheng Wen, Wen Sheng Picture, Wen Sheng Music and so on. In addition, it will also include AI matting, gesture recognition, motion capture and other wonderful functions.

As previously reported by CTOnews.com, Intel will release the Core Ultra series of processors in China on December 15, which is equipped with integrated NPU and provides low-latency Al computing. Intel said that starting with MeteorLake, Intel will widely introduce Al into PC, leading hundreds of millions of PC into the Al era, while the vast x86 ecosystem will provide a wide range of software models and tools.

Intel NPU architecture details:

Host Interface and device Management-the device management area supports Microsoft's new driver model, called Microsoft Computing driver Model (MCDM). This enables Meteor Lake's NPU to support MCDM in an excellent way while ensuring security, while memory management units (MMU) provide isolation in multiple situations and support power and workload scheduling for fast low-power state transitions.

Multi-engine architecture-NPU consists of a multi-engine architecture with two neural computing engines that can work together to handle a single workload or different workloads. In the neural computing engine, there are two main computing components, one is the reasoning pipeline, which is the core driver of energy-efficient computing, by minimizing data movement and using fixed functions to deal with common large computational tasks, high efficiency and energy saving can be achieved in neural network execution. The vast majority of computing takes place on inference pipes, which are fixed-function pipeline hardware that supports standard neural network operations. The pipeline consists of a multiplication, accumulation and addition (MAC) array, an activation block and a data conversion block. The second is SHAVEDSP, a highly optimized VLIW DSP (very long instruction word / digital signal processor) designed for Al. Streaming hybrid architecture vector engine (SHAVE) can be pipelined with inference pipeline and direct memory access (DMA) engine to achieve truly heterogeneous computing on NPU in parallel, thus maximizing performance.

DMA engine-this engine optimizes choreographed data movement for maximum energy efficiency and performance.

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