AMD EPYC 7552 Dedicated Server
Bare-metal AMD EPYC 7552 dedicated servers with full root access and dedicated hardware in United States. one ready-to-deploy configuration covering 48 cores, 128GB RAM, deployed with unmetered bandwidth and 24/7 support.
- 99.99%Network Uptime
- UnmeteredBandwidth
- InstantSetup
- 24/7Expert Support
- AMD7552
- Up to128 GB
- Up to2x2TB NVMe SSD
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Configure your ideal AMD EPYC 7552 dedicated server and deploy in minutes.
Instant Setup
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Available AMD EPYC 7552 Servers
| Selected | Server | Location | CPU | RAM | Storage | Bandwidth / Port | Price /mo | Action |
|---|---|---|---|---|---|---|---|---|
| EPYC 7552/128GB/2x2TB NVMe SSD |  United States | EPYC 7552 (48 cores/96 threads) | 128GB | 2x2TB NVMe SSD | 20TB / 10Gbps | $1093.30 |
AMD EPYC 7552 use cases and scoring
MonoVM Server Score
7.2/10
Hardware index from 48 cores, 128 GB max RAM, NVMe storage, 1 location. Not a customer rating.
Best For
- Large numbers of independent small-memory batch jobs.
- Parallel CI tests that can use many CPU workers without large per-job heaps.
- Container workloads with explicit memory limits and measured aggregate demand.
- CPU-based preprocessing using NVMe for temporary data and checkpoints.
Not Ideal For
- Forty-eight memory-heavy jobs that cannot fit within 128 GB RAM.
- Expecting ninety-six logical threads to perform like ninety-six physical cores.
- GPU training or rendering without a separately included accelerator.
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AMD EPYC 7552 Specifications
- Processor
- AMD EPYC 7552
- Vendor
- AMD
- Product line
- EPYC
- Cores
- 48
- Memory
- 128 GB
- Storage options
- 2x2TB NVMe SSD
- Bandwidth
- 20TB / 10Gbps
- IP addresses
- 1 Free
- Configurations
- 1
- Locations
- 1
- Root access
- Full root / administrator
Network & Locations
Every AMD EPYC 7552 ships on a dedicated uplink with unmetered bandwidth, DDoS filtering and 24/7 monitoring.
- United States
Frequently Asked Questions
Answers to common questions about AMD EPYC 7552 servers.
The listed EPYC 7552 plan uses a 48-core processor with 96 threads, 128 GB RAM and two 2 TB NVMe drives. Size the workload around both the large CPU pool and the installed memory available to those workers.
For many workloads, it is memory per active worker. Reserve host overhead from the listed 128 GB, then measure each job working set before increasing concurrency. If workers swap or compete for cache and disk I/O, additional CPU threads may not improve throughput.
Choose redundancy and workspace layout according to whether temporary data can be regenerated. Confirm usable capacity after RAID and filesystem overhead. Keep important datasets and checkpoints backed up separately; fast local storage does not itself provide recovery.
The listed EPYC 7702 offers sixty-four physical cores and a larger RAM allocation. Compare it when jobs need both more concurrency and more memory, and verify storage capacity and software costs for the complete configuration.