Monday, July 1, 2024

How AI is Driving Information Heart Transformation – IT Connection


M. Rogers

Abstract Bullets:

Telco AI Chief: Information heart business leaders like Vertiv and Equinix are supporting the necessity for extra liquid cooled information heart infrastructure to satisfy calls for of rising GPU use.

Dream Greater: Whereas right this moment hyperscalers are deploying the know-how, non-public AI will drive demand for liquid cooling in smaller enterprise information facilities, with potential for bottlenecks.

Information facilities all over the world internet hosting shopper and enterprise functions might even see a shift in the direction of utilizing liquid cooling strategies, versus the varied types of air cooling (e.g., room, rowm and rack) which might be used for the overwhelming majority of information heart workloads right this moment. Liquid cooling as a substitute makes use of water or a refrigerant to dissipate warmth from CPUs and GPUs. The benefit of liquid cooling is the upper thermal effectivity of transferring warmth by water versus the air. Whereas liquid cooling is just not a brand new know-how, it has been eschewed in favor of air cooling as a result of extra CapEx-intensive nature of constructing liquid cooling methods inside information halls, and the flexibility of air-con methods to largely sustain with the warmth generated by IT workloads, up till this time limit.

Alerts from business are indicating that there might quickly be a shift in the direction of numerous liquid cooling methods as a result of elevated use of GPUs to energy high-density compute for workloads like AI mannequin inferencing. That is driving up thermal a great deal of information facilities past what many air-cooling methods can handle. For instance, Vertiv sees liquid cooling as a core idea for its information heart of the long run. New hyperscale services, goal constructed for the likes of AWS, Azure, and Google Cloud Platform are architected with liquid cooling methods in thoughts, to help the brand new era of GPU intensive high-performance compute. Nevertheless, the corporate additionally sees a necessity for brownfield enterprise degree information facilities to implement liquid cooling (for extra particulars, please see AI’s Hidden Impression and Vertiv’s Imaginative and prescient for the Information Heart of the Future, March 28, 2024). Others within the business additionally echo this sentiment. Equinix, by some metrics the biggest information heart operator on this planet, can be seeing demand for liquid cooling, not solely from the biggest hyperscalers, but in addition from common retail enterprise tenants. Equinix, which supplies wholesale single or low tenant information facilities to hyperscalers, termed xScale, is seeing large deployment of liquid cooling at these facilities already. Nevertheless, extra lately the corporate is exploring deployment of liquid cooling at its retail IBX information facilities. There are liquid cooled halls in Paris and Osaka with extra coming in markets like Australia.

Equinix believes the demand for smaller scale information facilities with liquid cooling will come from demand for personal AI compute companies. Whereas the biggest deployments of AI workloads presently reside inside hyperscale environments, because the market matures many enterprises might require the usage of GPUs of their non-public enterprise information heart house. Enterprise datasets used to coach and inference fashions will be huge. This could incur very excessive prices associated to information egress in addition to efficiency as information flows from a non-public database right into a hyperscale setting. Additional some enterprise could also be involved with privateness or information sovereignty when coping with AI workloads. Lastly, latency will be a difficulty when coping with giant volumes of information, or mission crucial functions supported by GPUs. All these components are driving demand for GPUs not only for hyperscale, however enterprise scale as effectively. This will create a bottleneck because the business strikes alongside the maturity curve within the adoption of AI at scale. Not solely are GPU shortages nonetheless impacting the business, driving up costs, the info heart infrastructure, like liquid cooling, wanted to help utilization, is just not but in place for smaller scale deployments. The longer term could also be liquid cooled, however the journey has simply began.

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