Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://www.dell.com/downloads/ap/products/servers/en/PE6950_spec_ap.pdf?c=au&l=en&s=gen
Proper Citation: Dell PE6950 (RRID:SCR_019830)
Description: PowerEdge 6950 rack-dense 4U is a server that delivers performance with impressive low power consumption helping organisations address increasing datacentre complexity. Featuring quad-socket, dual-core AMD Opteron processing power, it provides high performance scalability. The design of the system provides for seamless upgrades from dual-core to quadcore within the same thermal envelope. The PowerEdge 6950 server is built to handle demanding enterprise applications without stressing datacentre resources making it for large databases, server consolidation, virtualisation and migrations from costly RISC-based systems.
Resource Type: instrument resource
Keywords: Server, Instrument, Equimpent, USEDit
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for Dell PE6950.
No alerts have been found for Dell PE6950.
Source: SciCrunch Registry
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
