---
title: "MT0854 - GPUs"
ocid: "ocds-r6ebe6-0000590010"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000590010"
markdown_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000590010.md"
json_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000590010.json"
source: "Public Contracts Scotland"
current_stage: "Award"
buyer: "UNIVERSITY OF EDINBURGH"
published: "2019-07-04"
---

# MT0854 - GPUs

Buyer: UNIVERSITY OF EDINBURGH  
Current stage: Award  
OCID: ocds-r6ebe6-0000590010

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[Download OCDS JSON](https://d3tenders.com/contract/ocds-r6ebe6-0000590010.json)

## Summary

The procurement process, initiated by the University of Edinburgh, pertains to the supply and installation of GPU nodes for a Deep Learning research and teaching cluster, titled "MT0854 – GPUs." This procurement falls within the education services industry and is located in Edinburgh, UK. The process utilised an open procurement method and was conducted under the CCS Framework RM3733, specifically designed for technology hardware. The contract was awarded on 10 June 2019, with a total value of £133,500. The process successfully attracted three bids, all submitted electronically, ensuring a competitive environment for suppliers.

This tender presents significant opportunities for companies specialising in technology hardware, particularly those capable of supplying GPU nodes and associated installation services. Businesses that deliver solutions compatible with nVidia Geforce RTX 2080 Ti and can address the specific requirements of cooling and format constraints would be well-positioned to compete. Additionally, small and medium-sized enterprises (SMEs) in the tech sector are encouraged to participate, as evidenced by the successful bids garnered from SMEs in this procurement process.

## Notice

The School of Informatics at Edinburgh University is a world leading centre of research and teaching in computation, information and cognition. The purpose of this procurement exercise is to achieve the most economic and advantageous tender in the supply and installation of GPU nodes for a Deep learning research and teaching cluster. The University is seeking to create a cluster with a number of GPU nodes based around the nVidia Geforce RTX 2080 Ti (11GB) GPU card that will be running a derivative of Redhat Enterprise Server V7. The solution must fit within an existing standard 800x600 rack where there is a total of 40U space. Whatever solution is used due consideration should be paid to cooling constraints and the most appropriate card format/manufacturer.

### Lot Information

Lot 1

The strategy showed that a Framework Agreement was best suitable to this project. On the CCS framework RM3733: there are 29 suppliers under this framework lot 1 technology hardware. It includes tier one manufacturers and resellers. T&C's agreed. CCS framework RM3733: lot 1 technology hardware. - Simplified contracting process whilst still allowing large number of relevant suppliers to bid. - T&C's agreed. - Reduced timescales - meet the required timeline. - School of Informatics has used this framework before, achieved value for money for similar procurement.

Options: - Cost to uplift one year NBD on-site plus two years return to base warranty to three years NBD on-site warranty? - Cost to uplift installed 1GB NIC's to 10GB?

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Public Contracts Scotland |
| Latest notice | https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JUL359323 |
| Notice type | PCS Notice - Website Contract Award Notice |
| Procurement type | Framework |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | SME |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 4 Jul 2019 |
| Submission deadline | Not specified |
| Future notice date | Not specified |
| Award date | 10 Jun 2019 |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | £133,500 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Complete |
| Awards status | Not specified |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | UNIVERSITY OF EDINBURGH |
| Locality | EDINBURGH |
| Post town | Edinburgh |
| Postcode | EH1 1HT |
| Country | Scotland |
| ITL 1 | TLM Scotland |
| ITL 2 | TLM1 East Central Scotland |
| ITL 3 | TLM13 City of Edinburgh |
| Local authority | City of Edinburgh |
| Electoral ward | City Centre |
| Westminster constituency | Edinburgh East and Musselburgh |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | CENTERPRISE INTERNATIONAL |

## CPV Codes

### Divisions

- 48 - Software package and information systems

### Codes

- 48800000 - Information systems and servers
- 48820000 - Servers
- 48822000 - Computer servers

## Release History

- 4 Jul 2019 at 00:00 - Award - PCS Notice - Website Contract Award Notice - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JUL359323

## Documents

- https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JUL359323
  MT0854 - GPUs - The School of Informatics at Edinburgh University is a world leading centre of research and teaching in computation, information and cognition. The purpose of this procurement exercise is to achieve the most economic and advantageous tender in the supply and installation of GPU nodes for a Deep learning research and teaching cluster. The University is seeking to create a cluster with a number of GPU nodes based around the nVidia Geforce RTX 2080 Ti (11GB) GPU card that will be running a derivative of Redhat Enterprise Server V7. The solution must fit within an existing standard 800x600 rack where there is a total of 40U space. Whatever solution is used due consideration should be paid to cooling constraints and the most appropriate card format/manufacturer.

## Notice URLs

- http://
- http://www.ed.ac.uk/schools-departments/procurement/supplying
- https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000590010

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000590010. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-r6ebe6-0000590010.json.