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White Paper: CAE-Assisted Cable Routing Methodology for High-Density Server Platforms
As AI server systems continue to scale rapidly in power and data throughput, cable density within server platforms has increased significantly....
This document is not a specification for OAI/OAM products. It is a set of guidelines on the design, validation, and implementation of liquid cooling solutions for AI Training Systems with 8x OAM products or others alike.
Contents of the document would help a user/designer/supplier of OAI/OAM products understand the basics around those topics/questions related to liquid cooling.
For most engineering topics/questions discussed in this document, we (the OAI Cooling workstream members) are contributing what we believed to be best practices as of today. However, for each product, there would be more than one way to design/validate/use it, not to mention potential technology evolvement or changes of dependencies down the road. Please keep open-minded while reading this document, and do not hesitate to contact us directly for feedback and further discussion.
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As AI server systems continue to scale rapidly in power and data throughput, cable density within server platforms has increased significantly....
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As server power density continues to increase in modern AI and high-performance computing applications, direct liquid cooling (DLC) has become a...
This whitepaper introduces SPDM attestation between a BMC and an External Root of Trust (EROT) on AI servers. It outlines SPDM prerequisites and the...