By: Thor Olavsrud, Anirban Ghoshal, Lynn Greiner
Privacy-preserving AI workloads can make expensive GPUs look underused. CIOs should understand the bottleneck before accepting automated rightsizing recommendations.


Thor Olavsrud is a Senior Writer at CIO.com, where he brings over 20 years of experience in covering IT and the tech industry. His work primarily focuses on AI, analytics, automation, and IT security, as well as topics related to big data, open source, and Microsoft tools and servers. Thor's journalism has been featured in ARN - Channel News and CIO Online, and he has received multiple awards for his contributions to the field.
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Thor Olavsrud's articles predominantly focus on data & analytics, with a significant proportion of coverage dedicated to press releases and citations of data. Given this emphasis, he may be particularly interested in receiving pitches that offer newsworthy statistics, industry reports or studies related to business intelligence, data analytics and artificial intelligence.
Additionally, considering the prevalence of private sector announcements in his coverage attributes, it is likely that Thor would also be inclined towards press releases from companies within the realms of BI tools, AI-driven solutions for businesses and innovative data strategies.
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