Opendata, web and dolomites


Development of a business model to commercialise GPU accelerated workstations for European hardware providers

Total Cost €


EC-Contrib. €






Project "CGACE" data sheet

The following table provides information about the project.


Organization address
address: 97 ALDERLEY ROAD
postcode: SK9 1PT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2019-11-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EBB3 LIMITED UK (WILMSLOW) coordinator 50˙000.00


 Project 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CGACE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "CGACE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

MCBD (2019)


Read More  

Genetta (2019)

Pole climbing solution to improve safety at work and to prevent fatal accidents in industrial climbing

Read More  

In-Heal (2019)

Standardised administration device for raw medical herbs

Read More