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COMPUTE / DEDICATED CPU

Choose a resource model for work that keeps computing.

Plan processor capacity for long-running tasks, demanding APIs and build pipelines. Evaluate Dedicated CPU against the parallelism of your workload, its memory needs and its completion targets, instead of choosing by core count alone.

FibaCloud platformDedicated CPU
Resource planning for sustained processing
Workload first
A choice for sustained processingA clearer view of worker capacityA meaningful comparison of resource models

01 / Overview

Understand dedicated CPU resources within a virtual server.

Dedicated CPU is a virtual server model centred on allocated processor resources. It is different from using an entire physical server. Consider this family when applications compute for much of the day, worker queues grow or processing times affect the service you deliver to customers.

Adding vCPUs does not accelerate every application proportionally. Single-threaded tasks, database locks and storage waits need separate investigation. Test the available plan specifications with a representative workload to balance processing capacity, memory and data access.

01

A choice for sustained processing

Evaluate applications whose demand extends beyond occasional CPU spikes. Observe a representative operating period instead of sizing from one busy moment.

02

A clearer view of worker capacity

Track execution time, concurrent workers and queue waiting time together for builds and background jobs. Those measurements describe what extra capacity needs to achieve.

03

A meaningful comparison of resource models

Compare Shared CPU, Dedicated CPU and Bare Metal against workload and control requirements. A CPU allocation model does not imply ownership of an entire physical server.

02 / Architecture

Resource planning for sustained processing

Illustrative workflow: jobs execute on processor resources. Available parallelism and access to data both influence the outcome.

Selection guide
Architecture explained
  1. Job queue
  2. CPU resources
  3. Parallel work
  4. Job result
Illustrative workflow: jobs execute on processor resources. Available parallelism and access to data both influence the outcome.

03 / Selection guide

Match processor capacity to how the job behaves.

Match processor capacity to how the job behaves.
ConsiderHow to decideWhy it matters
Duration of demandRecord how long CPU demand stays high during a normal operating cycle.Brief bursts and sustained processing suggest different capacity decisions.
Parallel executionTest whether the application can actually use additional cores.More vCPUs cannot automatically speed up serial code.
Memory and storageMonitor memory pressure and storage latency during CPU testing.Adding processor capacity may leave the original bottleneck untouched.
Operating budgetInclude storage, traffic and backup alongside compute costs.A useful comparison reflects the complete operating requirement.

04 / Use cases

Workloads that deserve a closer look at CPU demand.

01 / Dedicated CPU

Busy applications and APIs

Measure processing per request and latency during peak periods. Separate CPU demand from time spent waiting for databases or external services.

02 / Dedicated CPU

Build and CI workers

Run a representative build at different concurrency levels. Include source downloads and artifact storage in the overall pipeline rather than timing compilation alone.

03 / Dedicated CPU

Background processing

Plan report generation and data transformation around completion time, queue depth and the safe retry of failed work.

Plans & pricing

Compare available configurations

View all pricing
2 CPU
Host CPU RAM Storage Bandwidth Monthly price (USD)
4 CPU
Host CPU RAM Storage Bandwidth Monthly price (USD)
8 CPU
Host CPU RAM Storage Bandwidth Monthly price (USD)
16 CPU
Host CPU RAM Storage Bandwidth Monthly price (USD)

Hourly estimates divide the monthly price by 30 days (720 hours).

Review the current configuration, price and order terms before selecting a service.

Test your connection

Choose a location to measure your connection latency.

05 / From planning to operation

Measure the work before making the capacity decision.

  1. Record a baseline

    Capture job duration, peak demand and errors. Define the performance problem you want the infrastructure change to address.

  2. Build a representative test

    Use realistic data to test CPU demand and concurrency. Record software and configuration differences between the test and production environments.

  3. Prepare the transition

    Plan data transfer, access changes and maintenance time. Keep a tested way to return to the previous environment before switching workloads.

  4. Compare the outcome

    Repeat the same workload after the change. Assess processing time alongside cost, memory consumption and error behaviour.

Questions

A clearer path to your next decision.

Talk to our team
Is Dedicated CPU the same as Bare Metal?

No. Dedicated CPU describes a CPU resource model within a virtual server. Bare Metal addresses requirements at the physical-server level, with different control and operating considerations.

Will more cores make my application faster?

They may help if the work can run in parallel. Single-threaded execution, locking, data access and external dependencies can limit the benefit of additional cores.

Can I use it for a database?

It is worth evaluating for CPU-heavy database work. Working-set size, query design and storage behaviour still matter; compare High Memory when memory is the main requirement.

How should I plan a resource change?

Check the current plans and transition options. Back up data, test the application and schedule maintenance; do not assume every change can happen without interruption.

Go deeper with practical guides.

Connect product decisions with installation, configuration and operating knowledge.

Explore technical tutorials

Technical references

These references explain the technical concepts discussed on this page. Available configurations and service scope are defined by FibaCloud product and order information.

FIBACLOUD / Dedicated CPU

Start with your project. Build on the right resources.

Tell us about your application, expected usage and operating requirements. Let’s bring the resource choices together.

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