CLOUDNATIVE-32xCPU-128GB by UpCloud

CLOUDNATIVE-32xCPU-128GB is a Cloud Native (32 vCPUs, 128 GiB RAM) server offered by UpCloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.7662 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
23,432
(All-cores)
789
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-32xCPU-128GB
Description
Cloud Native (32 vCPUs, 128 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
126
Status
active
Observed At
2026-10-26T00:49:33.836001

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.7662 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.7662 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.7662 USD/h
Madrid #1 (ES) / es-mad1
- 0.7662 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.7662 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.7662 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.7662 USD/h
Stavanger #1 (NO) / no-svg1
- 0.7662 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.7662 USD/h
Stockholm #1 (SE) / se-sto1
- 0.7662 USD/h
Singapore #1 (SG) / sg-sin1
- 0.7662 USD/h
London #1 (GB) / uk-lon1
- 0.7662 USD/h
Chicago #1 (US) / us-chi1
- 0.7662 USD/h
New York #1 (US) / us-nyc1
- 0.7662 USD/h
San Jose #1 (US) / us-sjo1
- 0.7662 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
32
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
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
16 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
29.7
Scalability
92.81

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      40960 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A high-core-count virtual server balancing shared AMD EPYC processors with 128 GB RAM for parallelized, multi-threaded workloads.

      General PurposeBurstable & Budget

      UpCloud CLOUDNATIVE-32xCPU-128GB is a General Purpose virtual server utilizing the KVM hypervisor and x86_64 architecture. It is equipped with 32 shared AMD EPYC 7542 vCPUs operating at 2.0 GHz and 128.0 GB of RAM, yielding 4.0 GB per core. The server lacks local storage and GPU accelerators but includes one public IPv4 address. Performance benchmarks show a distinct tradeoff: single-core CPU performance is poor, ranking in the bottom 10%, whereas multi-core and multi-threaded capabilities, such as Geekbench multi-core and multi-threaded bzip3 decompression, rank in the top 25%. This resource profile offers a cost-effective solution for highly parallelized workloads, software compilation, and general-purpose web serving, though it is less optimal for single-threaded tasks or heavy LLM inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,009,582 ops/sec 1,919,289 ops/sec 1.6 50.00% 50.00% +26.00%
      Redis RPS (pipeline=16, SET) 23,064,501 ops/sec 11,728,058 ops/sec 1.9 20.00% 20.00% +14.00%
      PassMark Memory Mark (composite) 2,575 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 71,910 MB/sec 108,466 MB/sec 0.65 10.00% 10.00% -4.20%
      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: 1,697

      Geekbench Multi-Core

      Score: 18,317

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      46,209
      Compression
      666,751
      Encryption
      36,885
      Extended Instructions
      57,772
      Floating Point Maths
      108,162
      Integer Maths
      150,636
      Physics
      5,404
      Prime Numbers
      443
      Single Threaded
      2,185
      String Sorting
      73,093

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,575
      Database Operations
      16,598
      Memory Latency
      60
      Memory Read Cached
      25,303
      Memory Read Uncached
      11,233
      Memory Write
      11,419

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      412.69 313.61 0.76×
      bitops
      116,104 3,576,367 30.80×
      branch
      149,537 4,268,482 28.54×
      funccall
      478.46 12,977 27.12×
      funcret
      13,936 379,348 27.22×
      hash
      128,220 3,660,308 28.55×
      intmath
      18,882 541,673 28.69×
      nop
      222,530 4,960,270 22.29×
      prime
      318,131 8,371,107 26.31×
      rotate
      57,125 1,614,791 28.27×
      str
      573,807 14,862,680 25.90×
      wcs
      470,443 11,200,609 23.81×
      CryptographySingleMultiScaling
      crypt
      2,640 69,937 26.49×
      CompressionSingleMultiScaling
      jpeg
      585.29 15,674 26.78×
      zlib
      46.37 1,498 32.30×
      HypervisorSingleMultiScaling
      clock
      21,038 149,209 7.09×
      clone
      178.3 3,383 18.97×
      context
      2,903 86,705 29.87×
      cpu-sched
      59.28 2,003 33.78×
      eventfd
      29,173 484,558 16.61×
      fault
      6,702 84,872 12.66×
      fork
      1,920 29,212 15.22×
      getrandom
      34,068 970,318 28.48×
      hrtimers
      216,310 2,588,852 11.97×
      mprotect
      345,631 4,460,083 12.90×
      mtx
      36,646,045 1,904,605,267 51.97×
      munmap
      1,433 23,786 16.60×
      null
      347,197 9,905,820 28.53×
      pipe
      309,023 5,915,786 19.14×
      priv-instr
      319,574 5,219,218 16.33×
      resched
      5,401,472 3,801,951 0.70×
      switch
      60,698 3,007,660 49.55×
      timermix
      129,472 3,590,487 27.73×
      tlb-shootdown
      8,021 43,850 5.47×
      tsc
      634,532 19,795,248 31.20×
      usersyscall
      264,190 5,476,379 20.73×
      vdso
      67,628,735 1,907,322,495 28.20×
      vfork
      10,090 59,705 5.92×
      x86syscall
      4,395,237 126,452,128 28.77×
      yield
      13,787,232 14,741,601 1.07×
      zero
      1,898,324 54,639,598 28.78×
      CPU float/SIMDSingleMultiScaling
      eigen
      11,752 302,544 25.75×
      expmath
      2,650 76,484 28.86×
      fma
      698,315 20,861,423 29.87×
      fp
      196.8 5,504 27.97×
      fractal
      6.2 176.67 28.50×
      hyperbolic
      3,499 94,924 27.13×
      logmath
      3,896 104,537 26.83×
      matrix
      2,522 77,736 30.83×
      matrix-3d
      119.39 3,948 33.07×
      monte-carlo
      150.92 4,576 30.32×
      mpfr
      1,189 31,315 26.33×
      powmath
      1,277 36,870 28.87×
      trig
      1,420 41,013 28.88×
      veccmp
      16,164 417,684 25.84×
      vecfp
      1,334 36,526 27.38×
      vecmath
      3,263 92,052 28.21×
      vecshuf
      462.97 11,363 24.54×
      vecwide
      25,649 627,550 24.47×
      AlgorithmsSingleMultiScaling
      bitonicsort
      6.6 186.99 28.33×
      bsearch
      207.73 5,157 24.83×
      bubblesort
      0.6 18.4 30.67×
      fibsearch
      248.85 7,250 29.13×
      heapsort
      8.2 227.79 27.78×
      hsearch
      5,158 134,633 26.10×
      insertionsort
      6.4 173.6 27.12×
      malloc
      1,827,552 27,768,045 15.19×
      mcontend
      54.5 3,015 55.32×
      mergesort
      24.8 745.16 30.05×
      qsort
      15.6 428.18 27.45×
      skiplist
      5,222 118,698 22.73×
      tree
      0.4 5.78 14.45×
      MemorySingleMultiScaling
      cache
      237,349 420,155 1.77×
      cachehammer
      219,864 4,320,039 19.65×
      cacheline
      45.15 1,881 41.65×
      l1cache
      393.36 10,554 26.83×
      memcpy
      333.92 9,441 28.27×
      memrate
      1.55 15.19 9.80×
      memthrash
      128.35 728.29 5.67×
      ptr-chase
      15,707,131 226,721,125 14.43×
      spinmem
      169.78 1,374 8.10×
      stream
      106.15 30,211 284.60×
      vm
      51,317 294,540 5.74×

      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

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      CLOUDNATIVE-32xCPU-128GB FAQs