Custom servers designed for the most resource-intensive environments
Your big data project requires a reliable, high-performance infrastructure that can analyse high volumes of data in real time. Our HG customisable servers meet a very wide range of requirements for a critical environment, offering high performance, very high storage capacity and optimal response time.
By choosing a redundant architecture, you are guaranteed permanent uptime. You can hot-swap hard disks and SSD disks without any service interruptions.
Adapt your server’s configurations to suit your needs, with many power and storage customisation options to choose from.
Connect your servers to one another with the vRack private network, using a quick, secure cross-server connection.
Examples of uses for our HG servers
IOPS intensive application
Our HG servers have very high IOPS, to meet needs for high-volume analysis, resource intensive video processing, and for delivering databases that need quick access to data.
Big data and analytics solutions
Our HG servers are generally used as clusters, and offer very high fault tolerance against downtime as well as constant, private traffic between your servers. With their high-density configuration, you can manage intensive computing applications and data analytics solutions.
In-memory database
To boost performance for your applications and their requests to access data, it is advisable to store the data in-memory to help manage higher levels of traffic. Like machine learning projects, they are memory-intensive and require powerful configuration to handle high computing capacity.
AI & Machine Learning
As part of both automatic and manual learning, machine learning projects need a high volume of resources, and require parallel computing. Our high-performance components will give you this power round-the-clock.