CLOUDNATIVE-6xCPU-16GB by UpCloud

CLOUDNATIVE-6xCPU-16GB is a Cloud Native (6 vCPUs, 16 GiB RAM) server offered by UpCloud with 6 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.123 USD per hour.
6 vCPU
16 GiB Memory
Spare SCore
4,704
(All-cores)
788
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-6xCPU-16GB
Description
Cloud Native (6 vCPUs, 16 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
100
Status
active
Observed At
2026-11-02T12:40:45.327552

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.123 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.123 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.123 USD/h
Madrid #1 (ES) / es-mad1
- 0.123 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.123 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.123 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.123 USD/h
Stavanger #1 (NO) / no-svg1
- 0.123 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.123 USD/h
Stockholm #1 (SE) / se-sto1
- 0.123 USD/h
Singapore #1 (SG) / sg-sin1
- 0.123 USD/h
London #1 (GB) / uk-lon1
- 0.123 USD/h
Chicago #1 (US) / us-chi1
- 0.123 USD/h
New York #1 (US) / us-nyc1
- 0.123 USD/h
San Jose #1 (US) / us-sjo1
- 0.123 USD/h

Processor

vCPUs
6
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
6
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7542
CPU L1D Cache
64 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
3 MiB
CPU L3 Cache
16 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, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, rep_good, nopl, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, perfctr_core, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, clzero, xsaveerptr, wbnoinvd, arat, umip, rdpid, arch_capabilities
Ecpus
6
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      5120 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A shared-core virtual server offering balanced memory bandwidth and moderate compute capacity for budget-conscious general-purpose applications.

      Burstable & BudgetGeneral Purpose

      UpCloud CLOUDNATIVE-6xCPU-16GB is an x86_64 virtual server in the Cloud Native family, utilizing the KVM hypervisor. It is configured with 6 shared AMD EPYC 7542 vCPUs running at 2.0 GHz and 16.0 GB of system memory, with no local storage or GPU resources. Performance benchmarks reveal a contrast between weak multi-core stress-ng results and strong Geekbench single-core and text processing scores. Memory read bandwidth and Redis operations perform at average levels, while static web serving and large block write bandwidth are weak. Given the shared CPU allocation, this server offers a cost-efficient profile for workloads that do not require sustained compute power. It is best suited for general-purpose tasks, software compilation, lightweight database operations, and small-scale language model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.45Score
      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) 599,678 ops/sec 1,918,343 ops/sec 0.32 50.00% 50.00% -43.00%
      Redis RPS (pipeline=16, SET) 4,726,799 ops/sec 11,704,734 ops/sec 0.39 20.00% 20.00% -17.00%
      PassMark Memory Mark (composite) 2,079 2,416 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 83,247 MB/sec 108,466 MB/sec 0.75 10.00% 10.00% -2.80%
      PassMark single-thread CPU 2,185 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,028

      Geekbench Multi-Core

      Score: 8,549

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      11,966
      Compression
      125,386
      Encryption
      6,970
      Extended Instructions
      10,586
      Floating Point Maths
      20,823
      Integer Maths
      28,771
      Physics
      1,550
      Prime Numbers
      96
      Single Threaded
      2,185
      String Sorting
      17,008

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,079
      Database Operations
      3,941
      Memory Latency
      61
      Memory Read Cached
      24,776
      Memory Read Uncached
      10,936
      Memory Write
      10,579

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      472.9 500.58 1.06×
      bitops
      225,451 1,331,491 5.91×
      branch
      179,100 1,039,572 5.80×
      funccall
      636.64 3,382 5.31×
      funcret
      18,801 103,208 5.49×
      hash
      158,111 892,015 5.64×
      intmath
      62,816 313,719 4.99×
      nop
      237,496 1,351,112 5.69×
      prime
      407,069 1,309,245 3.22×
      rotate
      75,728 313,278 4.14×
      str
      896,377 3,092,114 3.45×
      wcs
      574,602 2,881,758 5.02×
      CryptographySingleMultiScaling
      crypt
      3,326 19,316 5.81×
      CompressionSingleMultiScaling
      jpeg
      875.78 4,502 5.14×
      zlib
      68.36 188.24 2.75×
      HypervisorSingleMultiScaling
      clock
      79,179 211,042 2.67×
      clone
      429.96 1,892 4.40×
      context
      7,599 43,322 5.70×
      cpu-sched
      58.14 376.03 6.47×
      eventfd
      58,498 790,379 13.51×
      fault
      27,483 85,962 3.13×
      fork
      3,224 16,191 5.02×
      getrandom
      67,206 365,274 5.44×
      hrtimers
      187,574 653,827 3.49×
      mprotect
      629,207 1,328,774 2.11×
      mtx
      40,182,030 171,525,014 4.27×
      munmap
      2,116 8,105 3.83×
      null
      1,020,826 4,570,845 4.48×
      pipe
      538,322 2,410,295 4.48×
      priv-instr
      855,507 3,876,836 4.53×
      resched
      2,179,927 1,395,778 0.64×
      switch
      45,185 1,363,237 30.17×
      timermix
      196,046 781,258 3.99×
      tlb-shootdown
      16,759 32,636 1.95×
      tsc
      738,807 2,970,961 4.02×
      usersyscall
      769,298 2,944,272 3.83×
      vdso
      70,313,548 362,886,177 5.16×
      vfork
      7,493 43,568 5.81×
      x86syscall
      13,960,236 56,468,476 4.04×
      yield
      6,835,139 7,891,025 1.15×
      zero
      4,823,602 22,776,419 4.72×
      CPU float/SIMDSingleMultiScaling
      eigen
      13,173 67,004 5.09×
      expmath
      2,727 16,283 5.97×
      fma
      982,817 7,085,168 7.21×
      fp
      165.11 966.68 5.85×
      fractal
      7.6 41.2 5.42×
      hyperbolic
      3,716 21,766 5.86×
      logmath
      4,160 17,337 4.17×
      matrix
      4,370 20,924 4.79×
      matrix-3d
      1,086 4,469 4.11×
      monte-carlo
      311.63 1,241 3.98×
      mpfr
      1,552 5,546 3.57×
      powmath
      1,241 4,388 3.54×
      trig
      1,619 7,236 4.47×
      veccmp
      18,924 74,564 3.94×
      vecfp
      1,890 6,574 3.48×
      vecmath
      3,517 17,341 4.93×
      vecshuf
      626.93 2,914 4.65×
      vecwide
      31,051 113,885 3.67×
      AlgorithmsSingleMultiScaling
      bitonicsort
      13 72.2 5.55×
      bsearch
      359.35 1,880 5.23×
      bubblesort
      1.4 6.2 4.43×
      fibsearch
      354.83 1,804 5.08×
      heapsort
      9.8 51 5.20×
      hsearch
      7,244 35,889 4.95×
      insertionsort
      6.6 36.8 5.58×
      malloc
      2,833,063 11,528,195 4.07×
      mcontend
      148.55 610.05 4.11×
      mergesort
      28.4 115.8 4.08×
      qsort
      17.2 68.19 3.96×
      skiplist
      5,941 22,101 3.72×
      tree
      0.6 1.8 3.00×
      MemorySingleMultiScaling
      cache
      1,164,365 916,180 0.79×
      cachehammer
      243,347 1,516,806 6.23×
      cacheline
      51.49 316.05 6.14×
      l1cache
      518.11 2,118 4.09×
      memcpy
      378.65 1,887 4.98×
      memrate
      0.91 4.02 4.42×
      memthrash
      61.14 101.98 1.67×
      ptr-chase
      6,276,278 38,480,211 6.13×
      spinmem
      255.79 123.62 0.48×
      stream
      172.17 2,644 15.36×
      vm
      126,482 291,513 2.30×

      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

      PostgreSQL heavy read-only throughput

      Alternatives

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      CLOUDNATIVE-6xCPU-16GB FAQs