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Fujitsu CX1000 vs Supermicro SuperBlade comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 20, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Fujitsu CX1000
Ranking in Blade Servers
13th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Supermicro SuperBlade
Ranking in Blade Servers
10th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Blade Servers category, the mindshare of Fujitsu CX1000 is 1.3%, down from 1.4% compared to the previous year. The mindshare of Supermicro SuperBlade is 6.7%, up from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Blade Servers
 

Featured Reviews

Use Fujitsu CX1000?
Share your opinion
Gergely Lakos - PeerSpot reviewer
With many servers in one, these blade servers are easier to manage
The service could be improved by faster servers, more widely available VMs, and more storage in one place. Then, in the event of a blade failure, we could start our VMs on another blade in a couple of minutes. This is why we wanted to buy storage. But now, we want to buy a twin server with 24 VMware discs to create test storage. The next product release should allow more servers to be controlled simultaneously.
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
14%
Manufacturing Company
14%
Financial Services Firm
12%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Also Known As

CX1000
SuperBlade
 

Overview

 

Sample Customers

TMC GmbH
Prace
Find out what your peers are saying about Hewlett Packard Enterprise, Dell Technologies, Cisco and others in Blade Servers. Updated: February 2025.
838,713 professionals have used our research since 2012.