Where are we headed with AI on the Edge?

HP’s innovative approach to turn your PC into your personal companion

AI on the edge is changing how we experience and interact with technology on our personal devices. It brings AI abilities to our devices, lessening delays in time, improving privacy and boosting dependability because it can process data locally. The movement towards AI on the edge is a form of democratization as it makes incorporating AI into everyday applications more widespread and available, not just for those skilled in artificial intelligence but for everyone. AI on the edge is impacting life and work for everyone, including students, small business owners, artists as well as people like you and me who are AI enthusiasts.

I was recently invited to HP Imagine AI in an intimate space at Hudson Yards, New York City to speak with Alex Cho, President, Personal Systems HP Inc. , Jim Nottingham - SVP & Division President Advanced Compute Solutions HP Inc., CIOs from various companies and startup founders to discuss how AI PCs is going to transform how AI is being embedded in our day-to-day applications and open the doors to a new and expanding category for AI enhanced products.

Why AI-on-the-Edge?

• Reduced Latency: AI PCs works without an internet connection, which means it can keep functioning even if there is no network available for sending data to a remote server. This is important in situations where immediate decision-making or action is necessary, like in industrial automation systems or autonomous vehicles.
• Security & Privacy: Processing AI on the device itself keeps your data private, as it does not need to be sent across a network to a server somewhere else. This can be important when dealing with sensitive information, like personal health details or financial data.
• Improved Reliability: When AI processes occur on the edge device itself instead of relying solely on a remote server, it enhances reliability. Even if there are problems in network connectivity that affect communication with the cloud server, local processing can continue to function properly and provide correct results.
• Energy Efficiency: Processing AI at the edge reduces power consumption because sending large amounts of data over networks uses up significant energy resources. By processing data locally on devices like cameras or sensors before transmitting them via wireless technology (such as Wi-Fi), less power gets used compared with continuously transferring all raw information through wired connections back and forth from these peripheral units towards distant servers located within 'the cloud'.
• Cost Reductions: Conducting operations related to AI at the edge can lower expenses by reducing demand for powerful computing capacity within central servers situated remotely from devices that collect initial raw information (like cameras or sensors). Instead of depending only upon these costly resources for handling complex calculations required by artificial intelligence algorithms applied during post-processing phases following primary local analysis - such as identifying objects within images captured nearby - utilizing more affordable yet still sufficiently efficient processors found directly inside those peripheral units allows businesses and organizations alike save money without sacrificing performance quality levels needed during crucial real-time decision-making scenarios.

AI for all, everyday

AI PCs are making powerful AI applications accessible to everyone. Imagine a world where you no longer need to be an AI expert to harness the power of AI. With AI integrated into our everyday devices, we can all benefit from its capabilities:

• Students can use AI-powered tools for personalized learning, making education more engaging and effective.
• AI can be used by people who own small businesses to handle inventory, assist in customer service and boost marketing efforts, providing them a competitive edge against bigger enterprises.
• Artists can explore new creative possibilities with AI-powered design and editing tools.
• Tech Enthusiasts can easily try out AI applications, making creative thoughts come true even if they lack deep AI understanding.

Check out these conversations I had with Alex Cho - President, Personal Systems HP Inc. and with Jim Nottingham - SVP & Division President Advanced Compute Solutions HP Inc.

LLMs vs. SLMs: The New Norm in AI Applications

LLMs are strong but they need a lot of computing power so usually they are in the cloud. On other hand SLMs made for efficiency can work on edge devices which is good for bringing AI benefits into local places.

The change to SLMs on edge devices will be game-changing. These models, with their capacity for real-time processing and personal interactions as well as enhanced privacy due to local data processing and storage, are set to become the standard for creating applications. This implies that users can have immediate and customized AI experiences without requiring continuous cloud connection.

Leading the AI-on-the-Edge Wave

HP is at the forefront of this transformation with its innovative AI-powered devices and platforms:

• HP OmniBook Ultra AI PC: The highest performance AI PC in the world, it has up to 55 TOPS of NPU performance. It is made for boosting creativity and productivity without sacrificing safety. HP AI Companion feature provides strong AI tools on the device itself. I am always excited to get my hands-on shiny new hardware and I got to do exact that! One of my favorite features is the Copilot button which can summon Microsoft Copilot at one-click.
• Z by HP AI Studio: The thorough solution for workstations in AI development, now joined with Galileo. It guarantees safe and effective building of AI models because it has trust frameworks - on your device!
• HP AI PCs: The OmniStudio X All-In-One PC and other similar devices provide unmatched power and flexibility, ensuring that AI-assisted productivity as well as entertainment can be enjoyed by everyone.

HP is dedicated to bringing AI into reality for everyone through cooperating with startups and creating AI applications that are easy to use. The incorporation of AI in HP devices goes beyond just improving the computing experience; it also makes certain that the potential of AI is accessible by all, democratizing technology in a genuine manner.

Future of AI on the Edge

As AI becomes more available and useful, it changes our everyday ways of living and working. We can visualize a quicker, cheaper, safer AI that enhances our computing like never before. By handling data locally, AI on the edge reduces delays, enhances privacy and increases dependability. Similar to how the internet became accessible by everyone with the arrival of smartphones, AI is also turning into a common tool that improves our work and personal life.

What to Watch For?

In this time, it is a thrilling period for startups and AI professionals. The potential of AI PCs in future seems boundless. Keep an eye on these things:

? Make it a top priority to foster and use SLMs for edge devices, guiding real-time and efficient AI applications.

?? Prioritize privacy-centric AI solutions that process data locally, ensuring user data remains secure.

?? Search for methods to smoothly incorporate AI into daily applications, thus enhancing the user-friendliness and naturalness of technology.

What interesting use cases have you found? Let's keep talking and discover more about AI's potential together. Let us create a future where AI helps all of us, every day.

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