Project description
Optimising virtual workstations to better manage and keep data safe
All existing virtual workstation solutions, whether publicly or privately shared cloud solutions, experience growing data privacy and security concerns. Most such solutions don’t oversee installation and user resource pool utilisation, nor do they offer support when the workstation is not operating. As a result, users are subjected to high latency, experience underperformance and problems gaining access to resources. To overcome these drawbacks, the UK-based ebb3 developed a private, cloud-dedicated, common graphical processing unit (GPU)-accelerated computing environment. It employs an artificial intelligence resource management tool that effectively uses resources. The EU-funded CGACE project will carry out a market study and deliver a business model to commercialise the computing platform.
Objective
Company: We (ebb3 Ltd), an accredited specialist systems integrator are developing software in partnership with market leading technology providers (Cisco, Citrix & Nvidia). Our partners have been selected specifically for their interoperability and global market positioning. ebb3 will use our partners existing software and hardware components as the foundation to provide and manage a common GPU (Graphical Processing Unit) accelerated computing platform.
Problem: Whilst many organisations are moving their data into the cloud, there are applications and workloads confined to physical workstation computers where the GPU is commonly located and not cloud compatible. As workstation applications become more complex and resource demanding, their data files become even larger. This data transfer to and from the cloud is time consuming and impacts an organisations security data availability policies and risks the value of the data.
State-of-the-art: All the current virtual workstation solutions, are either public or private shared cloud solutions, meaning that they are also in a public cloud, with multi-tenant pooling of resources among multiple customers, increasing issues of data privacy and security. In addition, cloud-based solutions often require dedicated resources creating islands of technology that become cumbersome and costly to maintain and support. Most virtual workstation solutions do not manage the set-up, user resource pool usage or provide support services when the workstation is not performing, meaning users experience periods of high latency, poor performance and difficulty accessing resources.
Our solution: ebb3 offers customers a fully managed, private cloud dedicated common GPU accelerated computing environment (CGACE) that uses an AI resource management tool for effective resource utilisation, allowing no feeling of latency for the user and freeing up resources in the datacentre for VR, ML and high performance applications.
Fields of science
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
SK9 1PT WILMSLOW
United Kingdom
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.