CXL Adoption Gains Steam with Intel Leading

Cloud computing, data center infrastructure, and high-performance computing (HPC) segments are seeing a return to typical growth patterns as a result of the fervor surrounding Artificial Intelligence (AI)-related products like ChatGPT, a generative AI software

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By offloading the Linux algorithm function kernel same-page merging (KSM) to an Intel Agilex 7 FPGA over a CXL Type 2 link to a 5th Gen Intel Xeon scalable CPU, a Redis database application was accelerated

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This is significant because, in order to meet demand, solution providers have been forced to integrate AI accelerators (GPU, CPU, ASIC/ASSP, and FPGA) into their entire system architecture due to the rapid uptake of AI applications

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Investing in FPGA accelerators to offload compute-intensive workloads such as AI has continuously reduced total cost of ownership and power consumption

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This benchmark attests to the much higher performance and throughput that CXL provides. As a result, we anticipate that in 2024 and 2025, many additional CXL-based milestones and solutions will be disclosed

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You can develop your next-generation high-performance accelerators for a range of end applications using Intel’s CXL ingredients

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– Intel Agilex 7 I-series FPGAs (CXL 1.1 compliant) – Intel Xeon Scalable Processors, Fourth and Fifth Generation (CXL 1.1 compliant), and associated CXL Intellectual Property (IP)

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– A technical study on CXL written by the same group at the University of Illinois in Urbana-Champaign: Understanding CXL Memory with Real CXL-Ready Devices and Systems For more details Govindhtech.com

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