We are creating a standard open source only install of Delta Lake, Spark, and optionally, supporting systems like MLflow. This means we will only be installing and depending on bare metal servers, VMs on OpenStack, or open source cloud storage systems.
Category: On OpenMetal
Ready to get started with OpenStack? Read this guide to gain valuable insights on the best hardware for your OpenStack deployment. On-Demand OpenStack clouds is OpenMetal’s flagship product, so as you may guess we know a few things about building OpenStack clouds, including how to automate OpenStack clouds for deployment in under 1 minute. In this blog we share some hardware recommendations with you, to ensure that your OpenStack journey is successful.
With more focus on big data and the need to translate many data sources to other data consumers, Apache Kafka has emerged as the leading tool for efficiently and reliably handling this. In addition to configurations, maximizing Kafka’s capabilities is tied directly to the infrastructure you select.
Nvidia is adapting to both AI and improvements needed in data center GPUs for non-AI work. View a comparison of their GPUs here.
In the landscape of big data analytics, Apache Spark has emerged as a powerful tool for in memory big data processing. The foundation for maximizing Spark’s capabilities lies in the infrastructure. OpenMetal’s XL V2.1 servers offer a solution that marries high performance with cost-effectiveness for Spark clusters.
When it comes to processing big data, Hadoop clusters are a popular and mature open source system that enables businesses to analyze vast amounts of data efficiently.
That’s why our OpenMetal Storage XL V2 servers are designed to offer optimal performance for Hadoop environments.