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

@@logicalclocks

Not to miss: Dec 15 at 9am PST - first global #featurestore meetup to discuss the current and future landscape of feature stores for #ML.
https://t.co/tQS6n82kAq

Lineup:
@jim_dowling from @hopsworks
@BonaciDavor from @KaskadaInc
Pengyu Hou and @patryoon from @AirbnbData

Exciting news for the @logicalclocks team! @mikael_ronstrom, inventor and lead developer of #NDB Cluster joined our team as head of data!

He'll be leading our global data team as we expand to become an independent, fully end-to-end ML service provider. https://t.co/FQnrVHlv0e

#HopsFS is a cloud-native distributed file system with a HDFS API that has the same cost as @awscloud #S3, but 100x the performance for file move/rename operations and 3.4x the read throughput. Available at @hopsworks. Read our blog and compare! https://t.co/0dD5CZkn5n
#hopsworks