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Notion, Salesforce, Uber scale AI with Anyscale's Ray framework

Anyscale hosted Ray Day Seattle, showcasing how companies like Notion and Salesforce are using the Ray framework to scale AI workloads. Notion significantly reduced embedding costs by 80% and improved query latency by migrating their AI pipeline to Ray, consolidating multiple steps into a single engine. Salesforce leveraged Ray to build a distributed system for summarizing lengthy documents, achieving low latency with a 20B parameter model. Uber also presented improvements in GPU utilization and training time using Ray for their ML platform. AI

IMPACT Demonstrates practical scaling solutions for AI workloads, reducing costs and improving performance for major tech companies.

RANK_REASON This is a recap of an event featuring user stories about scaling AI, rather than a new product or model release.

Read on Anyscale blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Notion, Salesforce, Uber scale AI with Anyscale's Ray framework

How we ranked this

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
This is a recap of an event featuring user stories about scaling AI, rather than a new product or model release.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
177 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Anyscale blog TIER_1 English(EN) ·

    How Notion cuts embedding costs by 80% and other stories on scaling AI with Ray from Salesforce, Uber, and more…

    Ray Day: Seattle brought together ML engineers from Notion, Salesforce, Uber, and Apple to share how they scaled AI workloads with Ray.