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Re-Engineering Ethernet for AI Fabric
Ethernet wasn’t built with AI in mind. While cost-effective and ubiquitous, its best-effort, packet-based nature creates challenges in AI clusters… But fabric-scheduled Ethernet transforms Ethernet into a predictable, lossless, scalable fabric – ideal for AI. It uses cell spraying and virtual output queuing ….
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Ethernet-based AI Cluster Reference Guide
When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to achieve when using Ethernet for the back-end network. This guide showcases a high-level reference design for an 8,192 GPU cluster, describing how it can be achieved with […]
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- Instilling Foundational Trust in Agentic AI: Techniques and Best PracticesBy Dr. Eoghan Casey, Field CTO at Salesforce With artificial intelligence advancing and becoming increasingly autonomous, there is a growing shared responsibility in the way trust is built into the systems that operate AI. Providers are responsible for maintaining a trusted technology platform, while customers are responsible for maintaining the confidentiality and reliability of information […]
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