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What feedback is being received regarding the cost savings and momentum of running AI services on VCF compared to public AI services?
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What have you been seeing out of the hyperscalers in terms of utilizing Ethernet for frontend and backend networks in relation to private AI applications?
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What network is typically used for the backend of GPU interconnect in large cloud deployments?
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What are the two main classes of customers that Chris, the private AI expert, is currently working with, and how is the evolution likely to occur in terms of their adoption of AI technology?
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What are some of the challenges that customers are facing in regards to AI hardware accessibility and interoperability?
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What is the current status of networking bandwidth scalability and what improvements have been made in recent years in terms of chip capabilities?
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What is the thesis on private AI and the importance of having an integrated solution for private cloud infrastructure?
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What analogy was made by a colleague at the financial analyst meeting earlier this year, regarding the success of teams who have stayed on at Broadcom?
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