Logical Clocks

Logical Clocks

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What is Logical Clocks?

Founded in 2016 by the members of the Distributed Computing Group at KTH –Royal Institute of Technology and RISE SICS AB, aiming to provide the market’s go-to Enterprise Data & AI platform.

As researchers, we were the first to solve the very hard problem of building a scale-out metadata layer for a new type of distributed file system. By opening that Pandora’s box, new doors opened that enabled us to build a new generation of data and AI platform based around our scale-out metadata innovation.

We started Logical Clocks to bring our vision to the real-world outside of academia, where Data and AI should be easy to develop and operate - even when running at massive scale.

Our Vision is to provide a Data and AI platform to enable the discovery of trustworthy, actionable insights in data and easily design and apply AI solutions to complex problems.

Our Mission is to build the world’s most scalable, secure, reliable, efficient and human-friendly data-intensive machine learning platform to enable businesses to easily develop data and AI products that help their businesses thrive.

2017- Winner of IEEE Scale challenge 2017 for HopsFS – 1.2m ops/sec

2018- World’s first on-premises platform to support scale-out GPUs-as-a-Resource

2018- World’s first Open Source Feature Store for Machine Learning

2019- World’s most scalable POSIX-like file system in the Cloud, with multi-data center high availability and 1.6m ops/sec on Google Cloud Platform

2020- Hopsworks.ai - the world's first Managed Feature Store for ML in the Cloud

Serchen Index

45.00
28
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0
Reviews
541
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Logical Clocks Key Features

Hopsworks Feature Store

What is Logical Clocks?


Logical Clocks Product Details

Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to run production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster.


Logical Clocks Support & Customer Service

We develop the solutions and platforms together with our community and customers. We value all the feedback we can get. Reach out to any of us in the medium that suits you.


Countries Logical Clocks Services Available In

all countries


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