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With generative AI and other ML workloads exploding, the design and structure of fabrics interconnecting AI elements becomes an important concern. This talk walks through the current state of the AI networking fabric and discusses challenges and tensions arising from the use of proprietary technologies. We present a view of a more open, standards based approach and some recent trends that leads us towards that including developments in the network protocol stack for reliable transport form Intel as well as the Ultra Ethernet consortium’s reliable transport initiative.
Personnel: Naru Sundar
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In this session Brian Johnson, Sr. Solutions Architect, will discuss different operational carbon footprint optimization possibilities, the latest pathfinding research for optimizing power consumption and architecture concepts using Intel Ethernet and Intel Infrastructure Processing Units (Intel IPU). The discussion will focus on two aspects of Energy Elastic Systems from customer perspective.
1. Business Level Service Level Objective: Workload KPI (Key Performance Indicators) will determine infrastructure for deployments.
2. Energy and Carbon Service Optimizations: Optimize energy consumption and carbon footprint by introducing “Energy Elasticity” and Carbon centric observability, predictions, and orchestration.
Personnel: Brian Johnson
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In this session Patrick Kutch, Principal Engineer, will discuss and demonstrate the pathfinding work he has been doing using a “Telemetry Pipe” from a workload that can be used to quickly and dynamically optimize power utilization.
Personnel: Patrick Kutch
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In this session, Brian will demonstrate how we can implement a federated energy observability/manageability stack to achieve “Energy Elastic Edge” configuration for optimized Carbon Footprint and Energy Costs with 3 Key Strategies:
Personnel: Brian Johnson
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