Do All Your AI Workloads Actually Require Expensive GPUs?

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GPUs have become the must-have compute of the dawning Age of AI. But maybe not every organization, or every job, demands these scarce, expensive-to-run processors.

For 10 years, Google produced TPUs, processors designed for machine learning (ML) workloads. But as more organizations began running more AI workloads, customers started making new demands, according to Andrei Gueletii, a technical solutions consultant for Google Cloud.

“People wanted to have more performance at the lower cost, at the lower power consumption, so more data centers…



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Do All Your AI Workloads Actually Require Expensive GPUs?


GPUs have become the must-have compute of the dawning Age of AI. But maybe not every organization, or every job, demands these scarce, expensive-to-run processors.

For 10 years, Google produced TPUs, processors designed for machine learning (ML) workloads. But as more organizations began running more AI workloads, customers started making new demands, according to Andrei Gueletii, a technical solutions consultant for Google Cloud.

“People wanted to have more performance at the lower cost, at the lower power consumption, so more data centers…



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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