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Title

ASML Moves On-Premises Machine Learning to Google Cloud to Speed Chip Manufacturing Models

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…ganized with collections Save and categorize content based on your preferences. ASML: Driving the future of microchips with Google Cloud AI and machine learning capabilities About ASML ASML is the world’s leading manufacturer of photolithography systems…

Description

ASML, the Dutch photolithography machine maker, migrated its on-premises machine learning platform that predicts process performance per device layer to Google Cloud, using BigQuery, Kubernetes Engine, and Cloud Build with partners Rackspace and ML6. The move cut product release cycles from monthly to biweekly, improved overall engineering efficiency including time to market by up to 40%, sped up data queries 25X with BigQuery, saved each engineer about four hours per day previously spent on data parsing, and reduced encryption/build/test time from hours to about 10 minutes.

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…that empower leading businesses with intelligent technology all across Europe. ASML boosts engineering speed, strengthens security, accelerates time to market, and enhances competitive advantage by adding Google Cloud to its on-premises machine learning solutions. Google Cloud results Shortens product release cycles from monthly to biweekly S…
…itecture Reduces encryption, build, and test time from hours to just 10 minutes Speeds up data query time by 25X with BigQuery Dutch firm ASML has grown from modest beginnings into a global leader in the se…

Company

ASML

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…the future of microchips with Google Cloud AI and machine learning capabilities About ASML ASML is the world’s leading manufacturer of photolithography systems for the se…

Industry

Manufacturing

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…enable today’s global chipmakers to craft the digital technologies of tomorrow. Industries: Manufacturing Location: The Netherlands Products: Google Maps Platform , BigQuery , Cloud Bui…

Country

Netherlands

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…makers to craft the digital technologies of tomorrow. Industries: Manufacturing Location: The Netherlands Products: Google Maps Platform , BigQuery , Cloud Build , Cloud Pub/Sub , Kuber…

Problem

ASML's on-premises machine learning solution, which predicts process performance per device layer and must retrain itself as processes change, worked but could not adapt fast enough to the growth in data, model and software build complexity in an industry where everything is measured in seconds.

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…plication development.” — Arnaud Hubaux, Technical Program Manager AI/ML, ASML “Our on-premises solution worked, but it couldn’t adapt fast enough to the growth in data, model, and software build complexity, because the whole industry is time driven. Everything is measured in seconds. I had to make my team faster.” ASML looked f…

Solution

ASML partnered with Google Cloud Partner Rackspace to extend its secure environment into the cloud, and with machine learning specialist ML6 to train staff and optimize its data ingestion and model training pipelines, dedicating a BigQuery and Kubernetes cluster with auto-scaling to data ingestion for its machine learning product that predicts process performance per device layer.

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…ider with cutting-edge technology for AI application development,” says Arnaud. ASML partnered with Google Cloud Partner Rackspace to implement the architecture and extend its secure environment into the cloud, a process completed within weeks. ASML also partnered with machine learning sp…
…verall engineering efficiency, including time to market, improved by up to 40%. By dedicating a BigQuery and Kubernetes cluster to data ingestion with auto-scaling, the AI team is able to obtain data faster, saving each engineer about four hou…

Technology

BigQuery, Google Kubernetes Engine, Cloud Build, Cloud Datalab

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…l technologies of tomorrow. Industries: Manufacturing Location: The Netherlands Products: Google Maps Platform , BigQuery , Cloud Build , Cloud Pub/Sub , Kubernetes Engine , Looker Studio , TensorFlow , AI Platform , AI Platform Notebooks Tell us your challenge. We're here to help. Contact us About Rackspace Rackspac…

Deployment model

hybrid

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…ens security, accelerates time to market, and enhances competitive advantage by adding Google Cloud to its on-premises machine learning solutions. Google Cloud results Shortens product release cycles from monthly to biweekly…

Deployment options

hybrid, On-premise, cloud

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…ens security, accelerates time to market, and enhances competitive advantage by adding Google Cloud to its on-premises machine learning solutions. Google Cloud results Shortens product release cycles from monthly to biweekly…

Use case type

Predictive operations

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…came last year with the launch of ASML’s new breed of machine learning product. The product predicts process performance per device layer. Because device layer and manufacturing processes change frequently, the product…

Headline outcome

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…rocessing data. Now the time spent on such tasks, Arnaud says, is down to zero. Overall engineering efficiency, including time to market, improved by up to 40%. By dedicating a BigQuery and Kubernetes cluster to data ingestion with auto-sca…

AI capabilities

Predictive Analytics, Machine Learning

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…came last year with the launch of ASML’s new breed of machine learning product. The product predicts process performance per device layer. Because device layer and manufacturing processes change frequently, the product…
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30 Sept 2026, 06:07 UTC
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