Good news!
No AI without powerful computer hardware like processors, interconnects, and memory!
"... This has led to the rise of a new business: GPU-as-a-service (GPUaaS). In recent years, companies like Hyperbolic, Kinesis, Runpod, and Vast.ai have sprouted up to remotely offer their clients the needed processing power. ...
Studies have shown that more than half of existing GPUs are not in use at any given time. Whether we’re talking personal computers or colossal server farms, a lot of processing capacity is underutilized.
What Kinesis does is identify idle compute—both for GPUs and CPUs—in servers worldwide and compile them into a single computing source for companies to use. Kinesis partners with universities, data centers, companies, and individuals who are willing to sell their unused computing power. Through a special software installed on their servers, Kinesis detects idle processing units, preps them, and offers them to their clients for temporary use. ...
The growing demand for machine learning and colossal data consumption is turning GPUaaS into a very profitable tech sector. In 2023, the industry’s market size was valued at US $3.23 billion; in 2024, it grew to $4.31 billion. It’s expected to rise to $49.8 billion by 2032. ..."
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