Intel Meteor Lake processors equipped with NPU will push PCs into the era of artificial intelligence

IT Home News on September 20, Intel today announced the latest Meteor Lake processor and introduced Meteor Lake’s integrated NPU in detail.

Intel said that Al is penetrating into all aspects of people's lives. Although cloud AI provides scalable computing power, there are also some limitations. It relies on network connections, has higher latency, is more expensive to implement, and also has privacy concerns. MeteorLake introduces Al to client PCs, provides low-latency Al calculations, can better protect data privacy, and achieves

at lower costs

Intel said that Starting from MeteorLake, Intel will widely introduce Al to PCs, leading hundreds of millions of PCs into the Al era, and the huge x86 ecosystem will provide a wide range of software models and tools.

IT Home provides detailed explanation of Intel NPU architecture: IT House recently conducted a detailed analysis of Intel's NPU architecture. In this article, we’ll dive into various aspects of Intel’s NPU architecture. First, the Intel NPU is a processor specifically designed for artificial intelligence tasks. It has highly parallel computing capabilities and can quickly process large amounts of data. Compared to traditional CPUs, NPUs perform better at processing complex AI algorithms. Secondly, Intel NPU architecture uses deep learning technology to automatically learn and optimize algorithms. It can improve the accuracy and efficiency of the algorithm through large amounts of training data. This makes it widely used in fields such as image recognition, speech recognition and natural language processing. In addition, Intel NPU architecture is highly flexible and scalable. It can be seamlessly integrated with other hardware devices and software platforms, providing developers with more choices and freedom. This enables developers to customize and optimize algorithms according to specific needs, thereby achieving better performance and results. Overall, Intel NPU architecture is an advanced processor architecture that provides powerful computing power and the ability to optimize algorithms for artificial intelligence tasks. It has broad application prospects in various fields and will bring more possibilities and opportunities to the development of artificial intelligence technology

Host Interface and Device Management -The Device Management area supports Microsoft's new driver model called the Microsoft Computing Driver Model (MCDM). This enables Meteor Lake’s NPUs to support MCDM in a superior manner while ensuring security, while the memory management unit (MMU) provides isolation in multiple scenarios and supports power and workload scheduling, enabling fast low-power states Convert.

Multi-engine architecture - The NPU consists of a multi-engine architecture equipped with two neural computing engines that can jointly process a single workload or each handle different workloads. In the Neural Compute Engine, there are two main computing components. One is the inference pipeline - this is the core driver of energy-efficient computing and handles common large calculations by minimizing data movement and leveraging fixed-function operations. Tasks can achieve energy efficiency in neural network execution. The vast majority of computation occurs in the inference pipeline, a fixed-function pipeline hardware that supports standard neural network operations. The pipeline consists of a multiply-accumulate operation (MAC) array, an activation function block, and a data conversion block. The second is SHAVEDSP - a highly optimized VLIW DSP (Very Long Instruction Word/Digital Signal Processor) designed specifically for Al. The Streaming Hybrid Architecture Vector Engine (SHAVE) can be pipelined with inference pipelines and direct memory access (DMA) engines to enable truly heterogeneous computing in parallel on the NPU to maximize performance.

DMA Engine - This engine optimizes and orchestrates data movement for maximum energy efficiency and performance.

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