The Future is Hyperscale: AI and Beyond
Immersion Cooling for a Greener Tomorrow
Artificial Intelligence (AI) has made a particularly big splash in 2023, promising to change the way we live and do business. Expectations are for exponential growth and a rapidly-changing employment paradigm as old jobs are phased out, new jobs are created, and existing occupations are buoyed by the rapid ascension of AI-tailored workplace aids. This unprecedented growth comes with a big price as the need for compute and storage must increase in lockstep, adding great demand on data center infrastructure.
It’s becoming common practice to build giant, or hyperscale, data centers to meet the demand. This creates unique challenges for the environment as power requirements will expand many times over in just a few years during a time when the response to global energy concerns is at a crossroads. One possible answer is to make data centers more efficient, and potentially much more efficient, by moving from air to liquid immersion cooling. In fact, such technology is expected to grow in utilization faster than the global hyperscale data center market itself.
Big compute means big storage as the size of the data required for many models, including AI language models, integrated circuit design, and metadata, will become ponderous. Storage solutions must adapt by being compatible with liquid immersion cooling environments. This ensures a lower total cost of ownership (TCO) over the lifetime of the product, helping reduce the environmental impact with a longer lifespan and more efficient operating conditions. Here at the Solid State Storage Technology Corporation (SSSTC) we are leading the way with the new ER3 solid state drive (SSD).
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