While training AI models consumes 6,000 times more than a European city, bioprocessor promise drastic savings in energy expenditures.<\/p>\n
Swiss technology firm Final Spark has successfully launched Neuroplatform, the world\u2019s first bioprocessing platform where human brain organoids (lab-grown miniaturized versions of organs) perform computational tasks instead of silicon chips.<\/p>\n
The first such facility hosts the processing prowess of 16 brain organoids, which the company claims uses a million times less power than their silicon counterparts. <\/p>\n
Silicon-based chips, which have revolutionized computing by making it smaller and easier to scale, are also known for their inefficiencies.<\/p>\n
The transistors of these chips are energy hoggers, and as applications such as developing artificial intelligence (AI) models increase, the impact of these inefficiencies is also becoming more glaring. <\/p>\n
According to Final Spark\u2019s estimates, training the popular large language model GPT-3 that powered ChatGPT in its initial days alone consumed 10 GWh of energy. This is a whopping 6,000 times more energy than an average European city consumes in an entire year. <\/p>\n
Replacing silicon chips with bioprocessors could lead to drastic energy savings. Final Spark allows research labs to experience the power of biological processors on the Neuroplatform. <\/p>\n