Intel’s AI Advantage

As a standout feature of the latest Intel® Core™ Ultra processors, AI (Artificial Intelligence) works within PCs to perform typical tasks in a way that mimics human intelligence.

By taking in large amounts of data, AI learns patterns and how to process information in a way that simulates users. Based on the data, AI can create an interface to anticipate users’ decisions and improve their task efficiency.

Advanced AI capabilities enable Intel® Core™ Ultra processors to provide the increased processing speeds and power efficiency that propel PCs into the future.

How Client AI Helps Customers

AI works to simulate human intelligence processes on PCs in an effort to save users time, increase productivity, and enhance creative and collaborative workflows.

Intel® Core™ Ultra processors and AIPC enable the user to enjoy the benefits of cloud-based AI along with the benefits of client AI, such as:

Increased privacy and data security

Reduced latency

Online and offline accessibility

Customization and collaboration capabilities

Increased power efficiency

With the right processor, AI engines, and software applications, users can enjoy the collaborative benefits of an AI-based ecosystem.

Intel’s AI Engines

Intel® Core™ Ultra processors utilize 3 different architecture tiles to deliver AI power. The CPU, GPU, and NPU (Neural Processing Unit) can be used individually or together to accomplish AI workloads.

CPU

AI-optimized CPUs are ideal for smaller, low-latency workloads.

Example: Noise suppression

During a Microsoft Teams video call, the CPU will automatically use AI to suppress background noise.

GPU

Large content creation workloads can be expedited by the GPUs AI.

Example: Image generation

High-throughput workloads such as these include generative imagery. After receiving a large amount of information to process, the GPU can create a realistic image.

NPU (Neural Processing Unit)

Built into the newest generation of Intel® Core™ Ultra processors, NPUs enable efficiency by handling longer-running AI workloads at low power.

Example: Speech-to-text

While listening to a coworker present on a Zoom call, the NPU could perform sustained AI-powered speech to text and transcribe what your coworker is presenting.

NPU Ready Apps

Intel’s NPU is designed to work collaboratively with a variety of independent software vendors. Intel’s NPU is specifically designed to work together with many software applications to accelerate AI workloads.

App Title

Intel

Adobe

Audacity

Videocom Presenter

Bytedance JianYing

Cyberlink Director

GIMP

iQIYI (爱奇艺)

Magix Vegas

OBS Studio1 Plugin

Skylum Luminar

XSplit VCam

Windows Studio Effects

Intel® Core™ Ultra Processors AI Capabilities

AI-powered processors can help users with a variety of workloads, including content creation projects, video conference calls, and managing their daily workloads.

AI-powered Content Creation

PC users with Intel® Core™ Ultra processors can enjoy:

Easier image generation by using text inputs

Essay, article, and list generation from text prompts

Rendering multiple image iterations per second (fast image generation)

Automatic image upscaling

AI-powered Conference Calls

Video conferencing that can focus on you and track your movements

The use of avatars and gesture controls

Note transcriptions when on conference calls

Additional AI Support

AI Assistants that know your daily context

Automatic control of your smart-enabled home

Shopping recommendations based on likes and searches

Summary

By harnessing the power of three architecture tiles–the CPU, GPU, and NPU–PCs built with Intel® Core™ Ultra processors help users maximize efficiency.

Intel’s AI-powered processors can reduce latency and handle high-throughput workloads, all while lowering PC power consumption. Collaboration between software applications and Intel’s NPU allows AI to assist users with content creation, conference calls, and more!

Recommend an AI PC, like those featuring Intel® Core™ Ultra processors, to increase the processing speeds and power efficiency of customer workloads.

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