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01 / BARE-METAL INFRASTRUCTURE

Germany 40Gbps Dedicated Servers

Germany (Frankfurt) · 1 / 10 / 20 / 40 Gbps

8 configurations available

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40 Gbps in Frankfurt: let us discuss your case before deploying

A 40 Gbps port makes sense when traffic and hardware keep pace. If you are planning massive transfers or parallel computing in Germany, share the details and we will validate the dedicated configuration with you before you reserve it.

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Fiber optic patch cords connected to network equipment
Illustrative photograph · Campus Party Europa 2010 · CC BY 2.0
Computer components and equipment in an illustrative photograph
Illustrative photograph · Jemimus · CC BY 2.0

Prepare a 40 Gbps transfer testbed in Germany

Coreo.cloud’s Germany 40 Gbps dedicated category includes eight offers. To assess a demanding transfer workload, first prepare the test systems sending or receiving data. Identify how many clients you will use and what resources each has; a result obtained with one receiver does not automatically describe an operation involving several different destinations or the workload those recipients place on the machine you are considering.

Arrange tests using a destination list and a parameter record for each run. iperf3 supports several streams, but that option belongs to the trial rather than guaranteeing an offer’s performance. Keep direction, duration and stream count with the result. Add the application work you intend to represent and check received files. This preparation helps select a configuration around a reproducible transfer while keeping the server’s contribution distinct from the contribution of its test clients.

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Illustrative photograph · Christopher Down · CC BY 4.0

Connect parallel tasks with compute resources

When choosing a 40 Gbps dedicated server in Germany, review which application processes can run independently. The offer list publishes cores and threads for each configuration; those columns are comparison data rather than an automatic number of jobs that can finish together. Describe whether each task needs its own input or all tasks access the same collection, since the distinction affects the scenario your trial must represent.

Prepare groups of identical work with a defined process count and observe completion of the entire group. If you use Python’s ProcessPoolExecutor, record the configured worker maximum. Include memory and output files in the budget for each scenario too. When a task waits for another task’s information, retain that dependency in the trial. Choose the machine against the complete outcome and determine which resource limits your objective before prioritizing a larger number in the server card.

Listed as available
Xeon 2667 v2
64 GB DDR3 · 500GB SSD · 40 Gbps
1.450 €
net / month
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