AI has come a long way, turning from a futuristic concept into a driving force behind some of today’s most exciting and impactful innovations, but that benefit comes at a cost. AI requires performance-intensive computing achieved with high core count CPUs, coprocessors such as GPUs, and high-speed networking, which can require up to 10 times the amount of power for AI infrastructure compared to general-purpose computing. While organizations need to minimize the environmental impact of AI...
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