2026 Events

2026 Events Registration for @Scale 2026 is Live! This year, @Scale returns with four events across multiple cities, including a brand-new location, and a lineup of cutting-edge topics and speakers shaping the future of systems, at scale.

Each event focuses on a core topic, Systems & Reliability, AI & Data, Networking, and Product, with sessions led by experts sharing real-world insights, challenges, and breakthroughs.

Attend in person or join via livestream from anywhere, and connect with a community pushing the boundaries of what’s possible.

SYSTEMS & RELIABILITY

May 28, 2026
Bellevue, Washington

Building the advanced infrastructure necessary to power today's sophisticated AI models represents a monumental engineering challenge. This endeavor demands the creation of highly scalable, high-performance, and supremely reliable computing systems that are not just general-purpose but are meticulously tailored to the unique, often unpredictable, demands of machine learning workloads. This specialized infrastructure includes custom silicon accelerators (like GPUs and TPUs), ultra-high-speed networking fabrics, and novel storage architectures designed for massive data throughput—all optimized for parallel processing at an unprecedented scale.

Simultaneously, the very AI that this infrastructure supports is fundamentally revolutionizing the systems themselves. AI is now being deployed to design, operate, and optimize these large-scale systems, leading to a new generation of intelligent, efficient, and resilient system management. Machine learning algorithms are used for dynamic resource allocation, predictive maintenance to prevent outages, and sophisticated anomaly detection to maintain system health. This AI-driven optimization moves system management from reactive problem-solving to proactive, self-optimizing operation.

AI & DATA

June 17, 2026
Menlo Park, CA

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, the conference theme is AI Native Transformation, with a focus on two key areas. Our in-person talks and panels will delve into the latest advancements in Recommender Systems, alongside discussions on the era of Agents, specifically focusing on their orchestration, autonomy, and the transformation they are bringing to engineering and research practice. Attendees can expect to gain practical knowledge and strategies for building AI-powered products, as well as a deeper understanding of the evolving ecosystem.

NETWORKING

August 25, 2026
Santa Clara, CA

In 2026, @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 performance. You will also hear from industry experts and leading researchers who are at the forefront of building large scale networks. Attendees will benefit from the opportunity to learn about diverse approaches to solve common challenges and explore potential collaborations.

PRODUCT

October 28, 2026
Menlo Park, CA

@Scale: Product is an exciting evolution of the @Scale conference series, uniting the best of Product, RTC, Mobile, and Video under a single AI-native theme. We are continuing to design the conference for engineers and product builders who are passionate about using AI to ship faster, prototype smarter, and launch more often—with AI now driving a growing share of the code and product decisions behind large-scale systems.

Attendees will explore how teams are delivering 2–3× higher product velocity than in the past decade, and how product and code development is increasingly happening across every level of engineering—including from builders who haven’t written code in years, now enabled by AI tooling and “vibe coding” workflows. The conference will showcase prototyping as a first-class product development primitive, complementing (and sometimes replacing) traditional direction-setting.

The program will spotlight how we’re building end-to-end with AI: from idea → prototype → iteration → launch. Expect sessions that trace the full product lifecycle including what’s next in AI-native product development.