VMware teases multi-cloud generative AI offerings for August debut
VMware has teased looming announcements outlining how it will enable generative AI to run on it stack, drawing on resources housed across multiple clouds.event staged late last week. During the event, VMware president Sumit Dhawan outlined a strategy to ensure customers can run large language models efficiently in a VMware environment, and to enable fast implementation of the technology.
Much of the strategy outlined in the video is core VMware doctrine – ensuring that consistent policy is applied to resources no matter where they reside across multiple clouds. For AI, that means making it possible to use data from multiple sources securely in a model. Veep for Cross-Cloud Services Vittorio Viarengo described VMware's intention to deliver"choice of where the data comes from across clouds, choice of where you run your model and your application with high efficiency, but with the control and privacy that enterprise customers require."
Sujata Banerjee, the virty giant's VP of research, mentioned two goals:"How do we run AI workloads on infrastructure, cloud infrastructure efficiently?" and"How do we use AI and machine learning to improve the cloud infrastructure itself so it can have some really nice properties of scalability, automation and so on?"
He also mentioned the possibility of using off-prem accelerators to process on-prem data – an arrangement he said could mean slower processing but would remove the need to move data and therefore bring some benefits.
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