Red Hat is shifting its platform strategy to meet the demands of enterprise AI, highlighted by its acquisition of Neural Magic. This repositioning emphasizes the necessity for adaptable AI infrastructure, focusing on "any model, any accelerator, any cloud." The company recognizes that AI workloads differ significantly from traditional applications, necessitating dedicated hardware considerations. High-performance AI demands low-latency inference, making the role of AI accelerators vital. Consequently, Red Hat aims to support a diverse range of accelerators to meet enterprise flexibility in cloud and hardware choices.
"We're not just talking about applications anymore, we're talking about AI. And we draw analogies of AI as a workload, just like applications are a workload."
"Historically, Red Hat has focused on abstracting hardware complexity through software. But AI upends that model. High-performance AI workloads demand low-latency inference, and achieving that means recognizing the critical role of hardware accelerators."
"It's important if you think about our role in the infrastructure or platform software layer. We always talked about enabling different types of accelerators."
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