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1:14
What “At Scale” Really Means in Tech and Business? Working at large size
111 views
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🔔 Announcement: We are only 1-week away from the last conference in 2024! Video @Scale 2024 was created for engineers who develop or manage large-scale video systems serving millions of people and the development of large-scale video systems includes complex, unprecedented engineering challenges. We're thrilled to collaborate with speakers from Amazon Web Services (AWS), Boston University, Captions, Meta, Momento, and Netflix! 📨 Register to receive your live-stream link: https://atscaleconfere
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Nov 13, 2024
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At Scale
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💡 Let's rise to the challenge and learn more about the demands of AI. Register for @Scale: Systems & Reliability 2025 on atscaleconference.com! | At Scale
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Apr 2, 2025
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At Scale
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Jun 20, 2022
grammarhow.com
1:04
We’re excited to announce that @Scale: Product 2025 will take place in person for the first time at the Meta Campus in Menlo Park, CA! As well as a virtual option available for our global community. 📅 Wednesday, October 22, 2025 📍 Meta Campus, Menlo Park Virtual This year, we’re bringing together the very best of Product @Scale, RTC @Scale, Mobile @Scale, and Video @Scale into one comprehensive program designed for engineers passionate about building and optimizing products at scale. Expect in
36 views
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Facebook
At Scale
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🌎 Join us at @Scale: Networking 2025 at the Santa Clara Convention Center! In 2025, @Scale: Networking will continue to focus on the evolution of AI Networking. To address the growing complexity of network operations, we will examine a full-stack perspective towards debugging, encompassing the communications layer through to the hardware. By adopting a holistic approach across both our front-end and back-end networks we can identify and mitigate potential bottlenecks, ensuring optimal network p
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Learn more about @Scale: AI & Data today - https://atscaleconference.com/events/scale-data-ai-infra/ | At Scale
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As LLM applications evolve into complex, multi-agent systems, traditional monitoring tools fall short in ensuring reliability and trust. In this session, Fiddler will introduce Agentic Observability—a new approach to debugging and monitoring production LLMs at scale. Drawing from real-world deployments across enterprise and federal teams, the talk will cover techniques for tracing agent reasoning, evaluating output quality with Fast Trust Models, and detecting behavioral shifts using statistical
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🌐 Join us for Product @Scale 2024 on August 14th! This virtual conference is designed for technologists who work on solving complex product problems at scale. Hear exclusive content from top product experts at Google, Fireworks AI, Roblox, Microsoft, and Meta, who will share their unique perspectives. 🗓️ Stay tuned for other upcoming speakers and agenda announcements. Don’t miss out and register here: https://atscaleconference.com/events/product-scale-2024/ | At Scale
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How do you build a low-latency, distributed key-value store optimized for ML feature serving at scale? Jia Zhan from Pinterest will share how his team built KVStore, a system designed to support the evolving needs of ML workloads central to Pinterest’s platform. With flexible data update methods and a focus on reliability, KVStore is a critical component of their AI/ML infrastructure. Register today to hear how Pinterest is tackling the challenges of building high-performance systems that keep p
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Facebook
At Scale
We are only 1 week away from @Scale: AI & Data! 🌟 Meta’s Engineering and Infrastructure teams are hosting a global gathering for engineers passionate about building and scaling AI and data systems! This year’s focus: Agents at scale and how intelligent systems can interact with billions of users, transforming product experiences and analytics as we know them. Dive into in-depth talks, expert panels, and poster sessions on: 🔹 Agent development, safety, and integration 🔹 Real-world strategies f
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Jun 18, 2025
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🥳 Thank you to everyone who joined us at @Scale: Systems & Reliability 2025! The two-track program successfully featured sessions about the demands of AI and compelling stories about solving the hardest hyper-scale problems with distributed systems, infra resilience and many more complex challenges by speakers from around the industry. Missed the event or need to rewatch a session? All of the recordings are now available here on our Youtube: https://www.youtube.com/playlist?list=PLBnLThDtSXOzCo
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Meta’s Engineering and Infrastructure teams are excited to bring together a global contingent of engineers who are interested in building, operating, and using AI and data systems at scale. This year, we will focus on building a world in which Agents interact with billions of users, a critical step towards unlocking the full potential of AI and data systems. Our in-person talks and panels will delve into the latest advancements in agent development, deployment, and product integration, featuring
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May 28, 2025
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🔎 As large-scale AI models continue to redefine the frontier of computing, the infrastructure and software required to train them must evolve in lockstep. Zhenyu Gu from AMD will be presenting, “From Silicon to Scale: Training at Scale with AMD's Software Stack” at this year’s @Scale: Systems & Reliability! Don’t miss exclusive insight about how AMD is building high-performance, scalable training platforms that power the next generation of machine learning applications. Register here: https://a
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