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Hopsworks
@hopsworks
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Overcome legacy systems with a seamless, modular and performance-driven AI Lakehouse. Build, deploy and manage models effortlessly. https://t.co/2R2TqyW1qP
Stockholm
Joined October 2014
RT @OVHcloud: 🚀 Build AI solutions that save costs, deliver top predictions & reduce risks! Insights from @rvanbruggen of @hopsworks .🎙️ h…
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RT @QuantStack: PyData Paris will be back in 2025 ! 🎉 📆 Sept 30th & Oct 1st 2025 📍Cité des Sciences et de l’Industrie Thanks to our early…
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Not only is Hopsworks 4.0 now available on our Serverless platform, but we have also teamed up with @iusztinpaul at Decoding ML to create a course on how to build a real-time personalized recommender using Hopsworks. 🎉 First lesson is out now:
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Recently, we told the story of how we’ve pivoted Hopsworks to embrace containerization with Kubernetes. In our latest “Show, don’t tell” @rteajak goes through some of the code behind it all. 👾
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RT @rteajak: Test, test, and test again—and if you can automate it, even better! At @hopsworks, we take this seriously. We even went full-o…
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And that’s a wrap on PyData NYC! 🗽 Thank you to everyone who stopped by, shared ideas, and connected with us. And a big shout-out to @PyData for bringing the community together once again. See you next time!
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Only a few days left until @PyData NY 🔥 We’re proud to be able to present two talks this year! In @Javierdlrm’s session he’ll describe the capabilities that need to be added to a Lakehouse to make it an AI Lakehouse.
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We are speaking at Nodes 24! 🌐 Discover how Hopsworks and @neo4j are transforming patient care, enhancing productivity, and accelerating medical research with AI-powered copilot applications.
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At the Feature Store Summit, @Javierdlrm presented how Hopsworks supports the snowflake schema data model. ❄️ The snowflake schema data model allows you to reduce the number of serving keys that your AI application need to make a prediction.
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We migrated Hopsworks to Kubernetes, reducing deployment times significantly. 🚀 In our latest Show, Don’t Tell video, @rteajak demonstrates how we've cut deployment from 2 hours to less than 30 minutes using a Helm install.
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