AI Adoption Rate Increase Will Strain Existing GPU Compute Supply
The rapid adoption of AI is reshaping industries, fueling an unprecedented demand for computing power.
As cloud compute providers rapidly move to fill the need for industries that are increasingly adopting AI tools to enhance their operations, the valuation of the AI market is expected to top $3.6T by 2034.
The AI Boom and GPU Demand
A recent blog post from DePIN GPU compute network Aethir highlighted the bright outlook for the valuation of the global AI market and the opportunity it presents to GPU compute providers such as itself.
The rise of AI adoption has transformed GPUs from gaming tools into essential infrastructure for machine learning, deep learning, and large language models (LLMs). As a result, traditional cloud providers like AWS, Microsoft, and Google dominate the market, making GPU access both expensive and limited.
The Innovation Cycle Driving AI Growth
Aethir’s blog pointed out a self-reinforcing cycle in AI adoption:
- More powerful GPUs enable new AI breakthroughs.
- AI breakthroughs drive further adoption and investment.
- Rising demand for AI tools increases the need for compute power.
This cycle is reshaping the industry, and Aethir is positioning itself as a key player by providing scalable, decentralized compute resources to meet the growing demand.
The AI Compute Ecosystem’s Growth
The global AI market, currently valued at $640 billion, is projected to exceed $3.6 trillion by 2034. The AI hardware market is expected to grow even faster, highlighting the increasing need for scalable compute solutions.
Most relevant to Aethir and its competitors, the global cloud computing market is expected to reach $2.39T in value by 2034.
Other market sectors are expect to see even higher growth rates over the next 10 years. Large Language Models are expected to be worth $123B, which would be a 21-time increase from the current $5.7B valuation.
Large Language Models (LLMs) could reach $680B in valuation in the next ten years.
As AI adoption continues to accelerate, decentralized models present a compelling alternative to traditional cloud services.
