Logical Clocks

Data may be the new oil, but refined data is the fuel for AI

Logical Clocks AB is headquartered in Stockholm, Sweden, formed from members of the Distributed Computing Group at KTH – Royal Institute of Technology and RISE SICS AB. The CEO is Assoc Prof Jim Dowling (ex MySQL AB) and the Chief Scientist is Prof Seif Haridi (Hive Streaming AB co-founder).

The company is bringing hyperscale Data Science to the Enterprise through the familiar lens of a Jupyter/TensorFlow/Conda environment, but with a backend data platform that includes the world’s most scalable filesystem, scale-out compute and GPUs, and streaming analytics.

A logical clock is a mechanism for capturing chronological and causal relationships in a distributed system.

Read more about Logical Clocks here.

Logical Clocks is launching Hopsworks, a data platform for AI

Hopsworks Enterprise is an on-premise data management and data science platform in one. Hopsworks is also a Python-first platform that combines the world’s fastest Hadoop with scale-out deep learning on GPU clusters. Develop, test, and deploy your deep learning models all in a single platform.

Logical Clocks


@hopsworks - the first on-premise platform to support @ApacheBeam . Come to this meetup at Google Stockholm on July 25th to find out more with @theofiloskak - https://t.co/Py5oGVLffl

On the next #CloudNativeNight, @joerg_schad (@arangodb), Emil Siemes (@mesosphere) & Steffen Grohsschiedt (@logicalclocks) give an update on which technologies to use for setting up a solid #ML infrastructure, 9.7., 18:30: https://t.co/9KCcDAW1io #cloudnativenerd #deeplearning

@fchollet Now for a (Pythonic) data parallel version on PySpark, by @morimeister and @cutlash - https://t.co/8TtML0ZnjA Can be run with 100s of GPUs today on @hopsworks by @logicalclocks