突破内存和 I_O 限制:面向 GenAI 时代的架构.pdf

编号:1012010 PDF 22页 2.50MB 下载积分:VIP专享
下载报告请您先登录!

突破内存和 I_O 限制:面向 GenAI 时代的架构.pdf

1、Smashing Memory&I/O Limits:Architectures for the GenAI EraSmashing Memory&I/O Limits:Architectures for the GenAI EraRamin Farjadrad,CEO Eliyan CorporationSERVER:OPEN CHIPLETECONOMYPerformance Walls Power Wall,Bandwidth Walls:Memory&I/O WallsSBD:A novel D2D technology for superior Bandwidth/PowerImpl

2、ementation,silicon results,comparison High-performance D2D interconnects:The solution to Performance WallsAdvantages of 2.0D D2D:Long reach connectivity on large Std.substrates Multi-port Custom HBM(cHBM)to boost Memory&I/O bandwidthsPerformance limitations at system level,beyond the packageLeveragi

3、ng long reach 2.0D D2D to enable ultra high-BW AI or Switch ASICsGPU ASIC with 32TB/s memory bandwidth&50T-100Tbps I/O bandwidthSwitch ASIC with 400Tbps of aggregate bandwidthLeveraging SBD technology to double electrical port bandwidth:224G448GCall to ActionPresentation OutlineTop Bottlenecks in AI

4、 Performance:Memory WallDisparity in bandwidth gains vs compute gains is the top bottleneck for performanceTop Bottlenecks in AI Performance:Memory Wall&I/O WallDisparity in bandwidth gains vs compute gains is the top bottleneck for performanceMove to Chiplet-based System to Maximize Bandwidth/Power

5、Ultra high-performance AI systems need:10s of Tbps interconnect bandwidth between processor&memory devices The power for these interconnects must be ultra low to be practicalChiplet interconnects on a package substrate offer the best bandwidth/power ratio:1Tbps/WAI systems with superior BW/power nee

6、d very large pkg substrate with as many chiplets as possibleA Memory BW Wall Example Blackwell 200 B200 Compute Performance=10,000 TFLOPS for FP8.B200 Max Memory Bandwidth=8TB/s Up to 1250 FLOPs per every Byte from MemoryEven at very high arithmetic intensity of 500*,B200 will be utilized at 50%(=50

友情提示

1、下载报告失败解决办法
2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
4、本站报告下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。

本文(突破内存和 I_O 限制:面向 GenAI 时代的架构.pdf)为本站 (明日何其多) 主动上传,三个皮匠报告文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知三个皮匠报告文库(点击联系客服),我们立即给予删除!

温馨提示:如果因为网速或其他原因下载失败请重新下载,重复下载不扣分。
客服
商务合作
小程序
服务号
折叠