cx42 by Hetzner Cloud

cx42 is a CX42 server offered by Hetzner Cloud with 8 vCPUs, 16 GiB of memory and 160 GB of storage. The last known price was 0.0297 USD per hour.
8 vCPU
16 GiB Memory
160 GB Storage
Spare SCore
7,506
(All-cores)
983
(Single-core)

Specifications

Server Metadata

Vendor ID
hcloud
Server ID
106
Name
cx42
Description
CX42
Family
cx
Hw Virt
-
Status
inactive
Observed At
2026-10-25T13:48:24.090846

Availability

REGION / IDSPOTONDEMAND
Nuremberg (DE) / nbg1-dc3
- 0.0297 USD/h
Helsinki (FI) / hel1-dc2
- 0.0297 USD/h
Falkenstein (DE) / fsn1-dc14
- 0.0297 USD/h

Processor

vCPUs
8
Hypervisor
QEMU
CPU Allocation
Shared
CPU Cores
8
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
32 MiB
CPU L3 Cache Total
16 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, pti, ssbd, ibrs, ibpb, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, pku, ospke, md_clear

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
ACCELERATORS
Accelerator Count
0
Accelerators
    STORAGE
    Storage Size
    160 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      20480 GB/month
      IPv4
      0

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.48Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 821,641 ops/sec 1,919,289 ops/sec 0.43 50.00% 50.00% -34.00%
      Redis RPS (pipeline=16, SET) 4,424,779 ops/sec 11,728,058 ops/sec 0.37 20.00% 20.00% -18.00%
      PassMark Memory Mark (composite) 1,726 2,416 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 89,204 MB/sec 108,466 MB/sec 0.81 10.00% 10.00% -2.10%
      PassMark single-thread CPU 1,305 Mops/s 2,365 Mops/s 0.54 10.00% 10.00% -6.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 966

      Geekbench Multi-Core

      Score: 5,020

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7,464
      Compression
      		 100,336
      Encryption
      		 2,971
      Extended Instructions
      		 6,557
      Floating Point Maths
      		 14,214
      Integer Maths
      		 23,231
      Physics
      		 762
      Prime Numbers
      		 36
      Single Threaded
      		 1,305
      String Sorting
      		 10,301

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,726
      Database Operations
      		 3,097
      Memory Latency
      		 67
      Memory Read Cached
      		 14,402
      Memory Read Uncached
      		 8,057
      Memory Write
      		 8,021

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

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      cx42 FAQs