The Market and the Enormous Potential

The demand for Artificial Intelligence (AI) compute power is skyrocketing. AI sits at the heart of countless applications, from facial recognition and virtual assistants to personalized recommendations and self-driving cars. Each interaction with these technologies necessitates significant computational resources.

The Booming AI Compute Market

• Market Size and Growth: According to a report by Grand View Research, the global market for AI computing was valued at USD 43.02 billion in 2022 and is projected to reach USD 486.72 billion by 2030, experiencing a Compound Annual Growth Rate (CAGR) of 38.6% from 2023 to 2030 (https://www.grandviewresearch.com/press-release/global-artificial-intelligence-ai-market). This explosive growth underscores the ever-increasing demand for robust AI compute solutions.

• Fueling Innovation: AI's power lies in its ability to learn and improve. Training massive AI models requires immense computational resources, often measured in exaflops (EFLOPs) – a unit signifying the ability to perform one quintillion (10^18) floating-point operations per second. Fine-tuning these models for specific tasks further adds to the computational demand.

Untapped Potential: Everyday Devices Hold the Key

While traditional solutions rely on specialized hardware like GPUs and data centers, a vast amount of processing power remains unused. Consider these staggering numbers:

• Smartphones: A Sleeping Giant: There are an estimated 7.21 billion smartphone users globally as of 2024 (https://data.gsmaintelligence.com/research/research/research-2024/global-mobile-trends-2024). These devices, often equipped with powerful processors, sit idle for a significant portion of the day.

• PCs: Underutilized Resources: In 2023, an estimated 241 million personal computers were shipped worldwide (https://www.gartner.com/en/newsroom/press-releases/2023-10-09-gartner-says-worldwide-pc-shipments-declined-9-percent-in-third-quarter-of-2023). Similar to smartphones, these PCs possess substantial processing capabilities that remain largely untapped during non-working hours.

Planck Network steps in to harness this untapped potential. By leveraging a fraction of the processing power from these everyday devices, Planck can contribute to exaflop-scale processing capabilities. This distributed network approach complements existing solutions offered by GPUs and data centers, creating a more robust and scalable AI compute ecosystem.

Imagine the Possibilities

By unlocking the collective power of everyday devices, Planck Network opens doors to a future of unprecedented AI innovation. With readily available processing power at its disposal, the network can accelerate the development of groundbreaking AI applications across various sectors, including:

• Scientific Discovery: Faster simulations and data analysis can lead to breakthroughs in medicine, materials science, and other scientific fields.

• Personalized Experiences: Enhanced AI models can deliver hyper-personalized experiences in areas like e-commerce, education, and healthcare.

• Smarter Infrastructure: AI-powered systems can optimize traffic flow, manage energy grids, and improve overall infrastructure efficiency.

The potential impact of a network powered by everyday devices alongside the already popular GPU hardware for AI processing is undeniable. By unlocking the power of everyday devices, the network paves the way for a more powerful, collaborative, and accessible future of Artificial Intelligence.