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How TCPX optimizes RDMA, and GPU Direct performance for AIML, and HPC workloads

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How TCPX optimizes RDMA, and GPU Direct performance for AIML, and HPC workloads

In the era of AI/ML and HPC, where data-intensive workloads demand optimal performance, maximizing network efficiency is crucial. Traditional TCP often struggles to keep up with the high throughput and low latency requirements of modern compute-intensive applications.

In this session, Hassan Tasneem and Hugo Huang (two tech leaders with a combined 31 years of experience in compnaies like Google and Amazon) delve into how GPUDirect-TCPX, a custom and open-source networking stack, revolutionizes network performance by optimizing RDMA (Remote Direct Memory Access) and GPU-Direct communication.

By the end of this session, participants will gain a comprehensive understanding of how TCPX unlocks the full potential of RDMA and GPU-Direct, empowering them to build faster, more efficient networks that meet the growing demands of data-intensive applications.

About the speakers

Hassan Tasneem is a seasoned technology leader with over 15 years of experience in the cloud industry. He has held various leadership positions at both Amazon Web Services (AWS) and Google Cloud.
At AWS, Hassan pioneered several cloud services, including End-User Computing and Amazon Linux Desktops. He currently leads the Operating System technology on Google Compute Engine.

Hugo Huang is an expert in Cloud Computing and Business Models, leading joint innovation between Canonical and Google. He has 18 years’ experience in Digital Transformation, including deep engagement in Open Source, Cloud Computing, 5G, AI, Cyber Security and Remote Working. He is also a passionate leader of global leading multi-culture and cross-function teams, including Product Management, Engineering, Strategy, Business Development, and Leadership Management.

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Date: December 12, 2024