# There’s More Compute Than We Think

With the rapid growth of artificial intelligence, big data, blockchain, and Web3 technologies, global demand for scalable, efficient, and cost-effective computational power has surged dramatically.<br>

According to McKinsey’s 2024 Digital Infrastructure Report, nearly 58% of global computing devices (including PCs, laptops, mobile devices, and servers) remain underutilized for most of the day. Meanwhile, AI inference workloads have increased by more than 300% over the past two years, driven by models such as ChatGPT, Stable Diffusion, and the Llama series. Model serving has become a critical bottleneck for developers and enterprises alike.<br>

In addition, the International Energy Agency (IEA) reports that data centers and high-performance computing servers accounted for 2.4% of global electricity usage in 2023, with this share continuing to grow. Rising energy costs and environmental concerns are putting pressure on traditional computing infrastructure.<br>

At the same time, the cost of computation in Web3 remains high. On Ethereum, average gas prices for transaction validation remain between 20 and 80 Gwei, pushing many compute-heavy tasks off-chain.<br>

These issues reflect three structural challenges:<br>

* Severe underutilization of distributed edge devices
* High operational and environmental costs from centralized compute infrastructure
* Lack of flexible and economically viable computing supply for AI and Web3 applications<br>

There is a clear need for a decentralized, low-barrier, high-utilization compute solution that repurposes idle resources and provides infrastructure for emerging digital ecosystems.<br>

This is exactly the gap TechTide aims to address.

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