Recent work by different groups seek to address infrastructure issues of AI, analytics, and other data-intensive workloads. The large volumes of data businesses routinely use for analytics and to train artificial intelligence (AI) models is overwhelming hyperscaler and enterprise compute and storage resources. Simply put, their infrastructures do not meet the needs of modern data-intensive applications. Just last week, Cisco, collaborating with NVIDIA, Intel, AMD, NetApp, Nutanix, Pure Storage, and Red Hat, sought to address the issue with the announcement of Cisco Validated Designs (CVDs) for AI use cases. In another effort, the Ultra Ethernet Consortium recently formed with open-sour
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