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Logical Clocks

logicalclocks.com

Hopsworks is an Enterprise MLOps Platform for developing and operating AI applications. Built around the most advanced Feature Store in the industry. Available on-premises or in the Cloud.

AI / MLDatabasesDistributed systems / cloud

’15’16’17’18’19’20’21’22’23’24’25’26
Posts
169 from 18 Jun 2015 to 4 Apr 2025
Posting
now and then
Kind
company blog

2025 1

  1. How we secure your data with Hopsworks

2023 2

  1. ROI of Feature Stores
  2. Feature Store: The missing data layer for Machine Learnin...

2021 38

  1. How to Transform Snowflake Data into Features with Hopsworks
  2. Show me the code; how we linked notebooks to features
  3. Product Updates - Logical Clocks
  4. Receiving Alerts in Slack/Email/PagerDuty from Hopsworks
  5. Feature store - Logical Clocks
  6. Hopsworks - Logical Clocks
  7. Tutorial - Logical Clocks
  8. End-to-end Deep Learning Pipelines with Earth Observation...
  9. Use case - Logical Clocks
  10. Using an External Python Kafka Client to Interact with a...
  11. RonDB on AWS, Azure and GCP using Sysbench
  12. RonDB - Logical Clocks
  13. MLOps Wars: Versioned Feature Data with a Lakehouse
  14. MLOps - Logical Clocks
  15. Announcing RonDB 21.10.1 beta release & 21.04.1 maintenance release
  16. Logical Clocks raises €5M to fast forward the development...
  17. AI Software Architecture for Copernicus Data with Hopsworks
  18. Hopsworks Online Feature Store: Fast Access to Feature Da...
  19. Designing a Thread Pipeline for optimal database throughput with high IPC and low CPU
  20. Benchmark - Logical Clocks
  21. Sysbench Evaluation of RonDB
  22. How to build ML models with fastai and Jupyter in Hopsworks
  23. Model training - Logical Clocks
  24. Scalable metadata: the new breed of file systems (em)powe...
  25. Distributed ML Experiments on Databricks with Maggy
  26. Experiments - Logical Clocks
  27. How to manage Python libraries in Hopsworks
  28. RonDB 21.04.0: Open Source Installation Now Available
  29. Beyond Brainless AI with a Feature Store
  30. From 100 to ZeRO: PyTorch and DeepSpeed ZeRO on any Spark...
  31. Best Practices - Logical Clocks
  32. RonDB: Automatic Thread Configuration
  33. AI/ML needs a Key-Value store, and Redis is not up to it
  34. How to engineer and use Features in Azure ML Studio with...
  35. Tech for Good: Artificial Intelligence Applications that...
  36. How to transform Amazon Redshift data into features with...
  37. Logical Clocks
  38. Elasticsearch is dead, long live Open Distro for Elastics...

2020 38

  1. Logical Clocks
  2. Mikael Ronström, founder of NDB Cluster, joins Logical Cl...
  3. Distributed Hierarchical File Systems strike back in the Cloud
  4. HopsFS-S3: Extending Object Stores with POSIX-like Semantics and more (industry track)
  5. Maggy: Scalable Asynchronous Parallel Hyperparameter Search
  6. Time Travel and Provenance for Machine Learning Pipelines
  7. HopsFS file system: 100X Times Faster than AWS S3
  8. Logical Clocks
  9. Logical Clocks
  10. Hopsworks 2.0: Data-Intensive AI Platform - Logical Clocks
  11. Hopsworks Feature Store API 2.0 - Logical Clocks
  12. Hopsworks: Cloud Native Feature Store - Logical Clocks
  13. Hopsworks Feature Store Now Available for Microsoft Azure...
  14. Feature Store for MLOps? Feature reuse means JOINs
  15. ML Engineer Guide: Feature Store vs Data Warehouse
  16. One Function is All you Need: Machine Learning Experiment...
  17. Logical Clocks Introduces new Machine Learning Technique...
  18. Logical Clocks Joins European Initiative to Bring Artific...
  19. Beyond Self-Driving Cars
  20. Unifying Single-host and Distributed Machine Learning wit...
  21. Manage your own Feature Store on Kubeflow with Hopsworks
  22. Logical Clocks
  23. Logical Clocks
  24. How to build your own Feature Store
  25. Hopsworks Feature Store for AWS SageMaker
  26. Feature Stores Going Mainstream
  27. Logical Clocks
  28. Introducing Hopsworks.ai - Logical Clocks - Logical Clocks
  29. Logical Clocks Launches Hopsworks.ai: The World’s First A...
  30. Hopsworks Feature Store for Databricks
  31. ExtremeEarth scales AI to the Earth Observation Community...
  32. Logical Clocks
  33. RonDB: The World's Fastest Key-value Store is now in the Cloud.
  34. Implicit Provenance for Machine Learning Artifacts
  35. Towards Distribution Transparency for Supervised ML With Oblivious Training Functions
  36. Towards better AI-models in the betting industry with a F...
  37. Introducing the Hopsworks 1.x series! - Logical Clocks
  38. MLOps with a Feature Store

2019 12

  1. Deep Learning for Anti-Money Laundering with a feature store
  2. Guide to File Formats for Machine Learning
  3. Hello Asynchronous Search for PySpark
  4. Hopsworks now supports AMD/ROCm - Logical Clocks
  5. Hopsworks: Winner of DatSci European Data Science Technol...
  6. Scalable Block Reporting for HopsFS - Best Student Paper award at IEEE BigDataCongress’19
  7. Hopsworks 0.10 Released! - News
  8. ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata
  9. Horizontally Scalable ML Pipelines with a Feature Store
  10. Hopsworks 0.9.0 Released! - News
  11. Introducing the Feature Store – the Data Warehouse for Ma...
  12. Hopsworks 0.8.0 Released! - News

2018 9

  1. Size Matters: Improving the Performance of Small Files in Hadoop
  2. Deep Learning: Use a Cluster Manager for GPUs
  3. Logical Clocks raises Seed Funding - Logical Clocks
  4. Company updates - Logical Clocks
  5. Goodbye Horovod, Hello TensorFlow
  6. What is Distributed File Systems (DFS) and why you need i...
  7. ​​NVMe now in HopsFS
  8. Optimizing GPU utilization in Hops - Logical Clocks
  9. Introducing Hopsworks, AI for Humans & Others - Logical Clocks

2017 2

  1. Scaling HDFS to more than 1 million operations per second with HopsFS
  2. HopsFS: Scaling Hierarchical File System Metadata Using NewSQL Databases

2015 1

  1. Leader Election Using NewSQL Database Systems

Undated 66

  1. HealthcareManaging genomic and medical data.Learn more >
  2. FinanceSolve prediction problems for fraud, markets, and customers.Learn more >
  3. AutomotiveOperating AI clusters on-premises.Learn more >
  4. BettingAddress challenges from regulators, cybercrime and customers.Learn more >
  5. White Papers
  6. Be a Guest blogger at Logical Clocks
  7. Webinars
  8. Hopsworks - The AI Lakehouse for Real-Time ML & Feature Store
  9. Logical Clocks - RonDB
  10. Logical Clocks - Maggy
  11. Hopsfs
  12. Use Cases
  13. Web App - Hops Payment gateway
  14. Logics
  15. Logic2
  16. Logical Clocks
  17. Logical Clocks
  18. Build your own Feature Store
  19. Feature Stores in the Spark/AI Summit
  20. Feature Stores in production
  21. Improving Collaboration between Data Scientists and Data Engineers
  22. ROI of Feature Stores
  23. New Feature Store coming to Google AI Platform
  24. Guest Blogger - Logical Clocks
  25. Senior Front-end Developer - Logical Clocks
  26. Site Reliability Engineer (SRE) - Logical Clocks
  27. Technical Writer - Remote - Logical Clocks
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  48. Opml20 usenix conference on operational machine learning
  49. Oreilly artificial intelligence conference
  50. Pydata festival amsterdam
  51. Pydata london the feature store
  52. Real time predictions with a feature store low latency and no training serving skew
  53. Scaledml 2020 hopsworks
  54. Simplify data analytics and machine learning made simple
  55. Simplifying feature engineering with hopsworks feature store
  56. Solve fraud challenges with graph network and deep learning in hopsworks
  57. Spark ai summit north america 2020
  58. Spark summit europe 2
  59. Twimlcon
  60. Webinar hopsworks feature store for sagemaker
  61. Webinar managed feature store for ml
  62. Xfw amsterdam
  63. Demo
  64. Event talks
  65. Tutorial
  66. Webinar