Avec Model Serving, Databricks entend simplifier les déploiements des modèles de machine learning en temps réel en s’appuyant sur une architecture serverless dont les performances sont garanties par ...

D’ores et déjà, l’approche de l’analytique et du machine learning de Databricks lui est profitable. « Nous sommes passés d’un revenu quasi nul à plus de 100 millions de dollars en recettes annuelles ...

Learning Machines, a consulting firm specialising in machine learning, big data engineering and cloud services, has partnered with data and AI company Databricks, to drive business value by unifying ...

SAN FRANCISCO, May 28, 2021 — At the Data + AI Summit, Databricks announced the latest generation of its industry-leading machine learning (ML) offering with the launch of Databricks Machine Learning, ...

SAN FRANCISCO, March 7, 2023 /CNW/ -- Databricks, the lakehouse company, today announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively ...

/CNW/ -- Today, at the Data + AI Summit, Databricks announced the latest generation of its industry-leading machine learning (ML) offering with the launch of ...

MLflow, With More Than 140 contributors And 800K Monthly Downloads, Now Offers Users A Central Model Repository To Accelerate Machine Learning Deployments AMSTERDAM & SAN FRANCISCO–(BUSINESS ...

Collaborative platform delivers a streamlined way for organizations to standardize the full data and machine learning lifecycle at any scale with powerful AutoML capabilities and new ML Feature ...

The testing found that the latter delivers 1.92x, 2.12x, and 2.24x inference performance on Databricks Runtime for Machine Learning with Standard_F32s_v2, Standard_F64s_v2, and Standard_F72s_v2 ...