CloudScape spins up a range of different VM instances on AWS, Google Cloud and Microsoft Azure to run popular benchmarks to test system performance and presents easy to understand performance statistics.

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1 Select Benchmark
Which benchmark to compare against.


2 Select Instance Type
Which instance types to compare against each other.

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3 Enter the Date Range

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Technical Notes


Operating Systems:

CentOS 7.4 was used for all benchmarks except for the TensorFlow benchmarks focused on GPU performance, which were run on Ubuntu 16.0.4

Data Normalization:

To do a price vs performance comparison on benchmarks like C-ray where lower is better, the data needs to be normalized so that higher is better.
The formula used to do this was:
Range = (max+min)
Normalized = (1 - / ((100 / Range) * Value * 0.01)) * Range

Max = the largest value in the current data set before normalizing
Min = the smallest value in the current data set before normalizing
Value = a given value in the current data set that this formula is applied to
Normalized = The normalized result of a given value in the current dataset

Hardware Specifications:

The hardware specifications for the Dell PowerEdge R230 comparison server can be found here.

Per Hour Pricing for the Dell PowerEdge R230 is based on these assumptions:

You are hosting the server yourself. In reality, if you were leasing the server from a hosting company you'd likely pay a higher rate of at least $0.36 USD p/h

GPU benchmarks:

GPU benchmarks are best performed using NVidia's CUDA Toolkit and Google TensorFlow benchmarking scripts.

CloudScape Blog Articles

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CloudScape Preliminary Findings

We built a platform that runs benchmarks on the web's most popular cloud hosting providers. Here you can learn about what we've learned so far in our ongoing exploration of the best servers that the cloud has to offer
by Reece Griffin 6 min. read

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