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Ryzen bare metal

Ryzen 9 5950X dedicated server

A larger Ryzen allocation for measured concurrent work: 16 cores and 128 GB memory, from $139 per thirty-day term.

ProcessorRyzen 9 5950X
Compute16c / 32t
Memory128 GB DDR4
Storage2×2 TB NVMe
Network1 Gbps unmetered
AddressingIPv4 /29 · IPv6 /64

What this configuration is suited to

Ryzen 9 5950X balances dedicated compute with local NVMe. Choose it when predictable CPU scheduling, fixed transfer cost and direct control of the operating system matter more than minute-by-minute elasticity.

Included with the server

  • Unmetered network port
  • IPv4 /29 block
  • IPv6 /64 allocation
  • Full IPMI/KVM access
  • Baseline DDoS protection

Operating systems

Ubuntu, Debian, Rocky Linux, AlmaLinux, Windows Server, Proxmox VE, VMware ESXi, TrueNAS, pfSense, Custom ISO. Commercial software licenses are not included unless stated on an order.

Available locations

Run it in Dallas, Ashburn or Portland.

Provisioning estimates can vary by hardware availability. A final region check happens before the ledger is debited.

Before you choose

Where this configuration makes sense.

3 min guide

Choose it when more jobs can run usefully together

The 5950X configuration is a candidate for build workers, application services or processing jobs that can make useful progress concurrently. Compared with the Ryzen 7 5800X offer, it increases both core count and memory allocation. That combination matters when running more jobs also increases the memory working set.

Measure the total time to complete the actual workload and the effect on interactive services. Extra parallelism can move the bottleneck to storage, a package mirror or another dependency. Do not assume a linear speed-up from the change in core count.

Budget for concurrent memory and temporary data

Record the memory used by the largest job as well as normal jobs, then allow for the number that may overlap. Keep room for the operating system and supporting services. Running an extra worker is useful only if it does not force the rest of the workload into resource pressure.

The paired NVMe devices provide 4 TB raw. Build artifacts, container images, caches and temporary database copies can consume that space quickly. Set retention and cleanup rules, and keep material that cannot be reproduced in an independent backup location.

Compare the 7950X on evidence rather than capacity alone

The Ryzen 9 7950X offer has the same listed core count, memory amount and disk-capacity layout, but a different processor and memory platform. The headline allocations therefore do not tell you whether its additional cost is justified for your application.

Use a representative benchmark or operational requirement if you need to choose between them. Confirm software compatibility and any required hardware feature. A newer model name is not proof of a particular improvement in build time, request latency or hosting capacity.

Consider EPYC when the limiting resource is elsewhere

The included 1 Gbps port remains separate from the compute allocation. If large transfers dominate the workflow, compare the EPYC 7402P offer and its listed network tier rather than adding more local workers first.

For applications with a strict ECC-memory requirement, shortlist configurations that explicitly list it. For a smaller workload, keep the Ryzen 7 5800X in the comparison. Choose the configuration that resolves the observed constraint and include deployment, backup and migration costs in the decision.

Direct answers

Questions before you order

Will twice as many cores halve the job time?

Not necessarily. The application must use the extra parallelism, and storage, memory or external dependencies may become limiting. Compare representative end-to-end job results.

Should I automatically choose the 7950X instead?

No. Its listed resource quantities are similar, so use software requirements and measured workload behavior to decide whether the platform change is valuable to you.