Bitcoin miners not jumping on AI bandwagon just yet, says Heatbit founder


Bitcoin miners not jumping on AI bandwagon just yet, says Heatbit founder
courtesy of cointelegraph.com

AI and ML demand computing resources

As interest in artificial intelligence (AI) and machine learning (ML) grows, the demand for computing resources is also increasing. However, conventional Bitcoin miners are not yet embracing this trend, according to Alex Busarov, the founder of Heatbit.

Mining farms and data centers more clued up on Bitcoin mining

Busarov believes that mining farms, data centers, and small-scale computing power providers have a better understanding of Bitcoin mining compared to the nascent AI and ML infrastructure space. He explains that people often focus on the application side of AI, such as creating voices or speech, rather than the compute side.

Heatbit's innovative approach

Heatbit, a company founded by Busarov, has developed heating hardware devices that mine Bitcoin and generate heat to warm homes. These devices feature a circuit board that can be used for both Bitcoin mining and AI training. Heatbit's marketing strategy aims to address the negative perception around Bitcoin mining's energy usage.

AI computing may face similar negative perception

While Bitcoin mining heaters are seen as an innovative solution to the energy usage concern, Busarov believes that AI computing may soon face a similar negative perception as it continues to demand hardware resources. He predicts that devices like Heatbit's will be needed for AI training.


Bitcoin miners not jumping on AI bandwagon just yet, says Heatbit founder
courtesy of cointelegraph.com

Stickiness of Bitcoin mining

Busarov believes that Bitcoin mining is better understood by people compared to AI training computing. He suggests that the wider GPU and ASIC infrastructure ecosystem might not shift away from Bitcoin mining just yet.

Potential for home mining

Busarov also predicts that home mining may become more viable in the future due to the level of hardware precision involved in large-scale mining. He explains that competition in mining comes down to the cost of energy, and combining mining with additional functions like heating and cooling can lead to zero energy costs.

Rising demand for AI computing resources

Demand for AI computing resources is on the rise. Startups like io.net are leveraging blockchain solutions to power networks that source computing power from diverse data centers and decentralized storage providers to support AI and ML computing.