TOPIC:

Machine Learning and AI

ML is becoming an integral part of every product to improve user engagement and experience for different use cases ranging from recommendations and self-driving cars to building Metaverse. The rise of such ML-powered products and quickly evolving ML landscape imposes unique and complex engineering challenges ranging such as real-time feature engineering, online learning, to distributed model training & inference for large scale models across heterogenous hardwares in a privacy safe manner. Join us to hear from leading ML domain experts discussing latest trends and technical challenges to build such scalable ML platforms for their use cases.

Explore @Scale Series in This Topic

@Scale is a series of technical conferences for engineers working with systems that are designed for scale. Explore @Scale Series in this Topic.

AI @Scale

Designed for engineers interested in solving machine learning scaling problems.

MACHINE LEARNING @scale

Machine Learning @Scale is an invitation-only technical conference for data scientists, engineers and researchers working on large-scale applied machine learning solutions.

UPCOMING EVENT 07/31/2024 AI @Scale

AI Infra @Scale 2024

Meta's Engineering and Infrastructure teams are excited to host AI Infra @Scale, a one-day virtual event featuring a range of speakers from Meta who will unveil the latest AI infrastructure investments and innovations powering Meta's...

past EVENT 05/18/2023 AI @Scale

AI Infra @Scale

AI @scale is a technical conference for engineers that are interested in solving scalability problems in machine learning. This is an exciting area that brings many challenges in the nexus of distributed system, hardware design...

past EVENT 09/28/2022 AI @Scale

AI @Scale 2022

AI @Scale is a technical conference for engineers that are interested in solving scalability problems in machine learning. This is an exciting area that brings many challenges in the nexus of distributed system, hardware design...

AI @Scale

Flyte: Making MLOps and DataOps a reality

MACHINE LEARNING @scale

Search and Ranking at Bloomberg

AI @Scale

Netflix's Human-Centric Approach to ML Infrastructure

Explore All Topics

Building applications and services that scale to millions or even billions of people presents a complex set of engineering challenges, many of them unprecedented. The @Scale community is focused on bringing people together to openly discuss these challenges and collaborate on the development of new solutions across a series of topics:

Annual @Scale Conference

The annual @Scale conference is an invite-only, in-person conference hosted in the fall of each year in the Bay Area, California. The event invites engineers and industry leaders from all over the world to come together and discuss leading @Scale topics and network with their peers. Attendees will be able to participate in several thought provoking general sessions and 4 separate tracks highlighting the year's themes.

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Data, Systems and Networking

Designed for engineers and technologists who specialize and find interest in how information moves and flows throughout products.

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Dev Tools and Ops, Privacy, Sustainability and Performance

When codebases evolve and grow quickly, building applications and services for software engineers presents a complex set of engineering challenges.These events will explore these ever increasing challenges and solutions needed to meet them.

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Fighting Abuse and Security

This category explores the challenging space of scaling abuse and security of products, platforms and infrastructure. Explore the approaches, findings and lessons learned from others in the industry.

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