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Mobile, Video and Web
8/16/2023
How Meta’s Reels APIs is Empowering the Passion Economy
In recent years, the influencer market has experienced remarkable growth, ballooning from a $1.7 billion industry in 2016 to a staggering $21 billion in 2023. This surge is largely attributed to the rise of creators, with more than 300 million individuals worldwide identifying themselves as such, according to Adobe’s Future of Creativity study in 2022. […]
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Data, Systems and Networking
9/8/2023
Arcadia: End-to-end AI System Performance Simulator
This presentation will introduce Arcadia, a unified system designed to simulate compute, memory, and network performance of AI training clusters. By providing a multi-disciplinary performance analysis framework, Arcadia aims to facilitate the design and optimization of various system levels, including application, network, and hardware. This comprehensive system enables researchers and practitioners to gain valuable insights […]
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Data, Systems and Networking
9/8/2023
Network Observability for AI/HPC Training Workflows
High-performance and reliable collective communication over AI-Zone RDMA network, is foundational for enabling and scaling Meta AI training / inference workloads. It is necessary to capture top-down observability from workload to network for collective communication, and therefore attribute performance regression and training failures to backend network. For this purpose, we introduced two important tools: ROCET […]
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Data, Systems and Networking
9/8/2023
Scaling RoCE Networks for AI Training
In this talk we provide an overview of Meta’s RDMA deployment based on RoCEV2 transport for supporting our production AI Training infrastructure. We will shed light on how we designed our infrastructure to both maximize raw performance and consistency that is fundamental for the workload. We will talk about the challenges we solved in Routing, […]
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Data, Systems and Networking
9/8/2023
Traffic Engineering for AI Training Networks
Meta has been operating RoCE-based distributed training clusters serving internal AI training workloads since 2020. One major challenge surfaced in the early days was the job performance inconsistency over different job scheduling schemes and network failures. This was attributed to the static routing scheme we employed and triggered us to proceed on multiple paths to […]
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Data, Systems and Networking
9/8/2023
Meta’s Network Journey to Enable AI
Over the years, Meta’s AI infrastructure has undergone a remarkable transformation, transitioning from CPU-based training to GPU-based training within the same host, and ultimately adopting distributed systems interconnected by a network. Today, our model training heavily relies on a RoCE-based network fabric with a CLOS topology, where leaf switches are connected to GPU hosts and […]
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Data, Systems and Networking
9/8/2023
Networking for GenAI training and inference clusters
Generative AI (genAI) is rapidly evolving and has become one of top priorities of Meta. GenAI introduces new challenges to the infrastructure in particular for network due to its sheer scale and complexity of the models. We will discuss what are the unique challenges in particular from large language models, comparing with recommendation models that […]
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Mobile, Video and Web
8/24/2023
HOW WE BUILT $10B BUSINESS IN 7 YEARS
When we started the team, we had no idea if it was even possible to monetize messaging. Seven years later we now have a $10B product line for Meta. Join Himanshu as he shares how they made their first dollar, scaling to millions and then billions of dollars business and things they learnt along the […]
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Mobile, Video and Web
8/24/2023
VIDEO APIS @SCALE: REELS APIS
We will provide an overview of the Facebook Video APIs with focus on Reels APIs. Join us to learn on how Later is taking advantage of the Meta’s 3P Reels APIs to achieve their business goals. /// Join us for an informative presentation exploring the history of Later.com and Mavrck. Discover the seamless integration of […]
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