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World Congress 2026 North America • Sep 25, 2026 • Session details

How LinkedIn Turns AI Breakthroughs into member and customer value

Erran Berger , Frederic Lardinois

How does LinkedIn run massive AI tasks in 20 milliseconds while keeping compute costs flat? Discover the full-stack optimizations and distillation pipelines driving their 50x efficiency gains.

Starting at 14:10 · Watch from the beginning

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#1 about 4 min

Key ingredients for differentiated applied AI breakthroughs

Leveraging unique data assets, model efficiency, and deep user understanding separates successful applied AI from generic models.

#2 about 7 min

Building modern AI infrastructure in custom data centers

Pausing the migration to public cloud allowed for the creation of a modern, fresh technology stack tailored for large language models.

#3 about 4 min

Optimizing AI infrastructure from applications to GPU kernels

Designing systems end-to-end enables massive efficiency improvements for generative recommenders and large sequence models.

#4 about 4 min

Creating a repeatable distillation process for small language models

Pruning large teacher models into specialized smaller language models meets strict latency budgets without sacrificing quality.

#5 about 4 min

Managing the operational burden of task-specific models

Using reinforcement learning and ambient agents to unify numerous task-specific models reduces the maintenance burden of training pipelines.

#6 about 3 min

Improving enterprise and developer productivity with AI agents

Implementing agentic tools like hiring assistants and command-line interfaces substantially increases operational throughput and developer velocity.

#7 about 7 min

Aligning AI feature deployment with fixed compute budgets

Keeping non-GPU compute flat requires granular telemetry to tie individual product features directly to hardware costs.

#8 about 3 min

Implementing compute telemetry and repeatable deployment loops

Establishing cost monitoring early and creating a standard model distillation pipeline secures long-term architectural scalability.

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