CLOUDNATIVE-16xCPU-128GB by UpCloud

CLOUDNATIVE-16xCPU-128GB is a Cloud Native (16 vCPUs, 128 GiB RAM) server offered by UpCloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.6163 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
45,259
(All-cores)
3,418
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-16xCPU-128GB
Description
Cloud Native (16 vCPUs, 128 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
125.14
Status
active
Observed At
2026-10-25T13:54:28.028442

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.6163 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.6163 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.6163 USD/h
Madrid #1 (ES) / es-mad1
- 0.6163 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.6163 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.6163 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.6163 USD/h
Stavanger #1 (NO) / no-svg1
- 0.6163 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.6163 USD/h
Stockholm #1 (SE) / se-sto1
- 0.6163 USD/h
Singapore #1 (SG) / sg-sin1
- 0.6163 USD/h
London #1 (GB) / uk-lon1
- 0.6163 USD/h
Chicago #1 (US) / us-chi1
- 0.6163 USD/h
New York #1 (US) / us-nyc1
- 0.6163 USD/h
San Jose #1 (US) / us-sjo1
- 0.6163 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
16
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9575F
CPU L1D Cache
64 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
8 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, pcid, 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, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, movdiri, movdir64b, avx512_vp2intersect, arch_capabilities
Ecpus
13.2
Scalability
82.5

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
      35840 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring shared AMD EPYC processors and high memory density for database and caching workloads.

      Memory OptimizedGeneral PurposeBurstable & Budget

      UpCloud CLOUDNATIVE-16xCPU-128GB is a memory-optimized virtual server built on the KVM hypervisor. It features 16 shared vCPUs powered by an AMD EPYC 9575F processor running at 2.0 GHz, paired with 128.0 GB of RAM. This configuration delivers a high memory-to-core ratio of 8.0 GB per core, though it lacks local storage and GPU accelerators. Benchmark data shows top-tier single-core CPU performance, while multi-core execution, memory bandwidth, and database operations remain average. Conversely, memory-intensive benchmarks and text processing show weaker results. Given its shared CPU model, this server offers a cost-effective solution for memory-heavy workloads that do not require dedicated compute resources. It is best suited for database hosting, caching layers, and static web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.6Score
      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) 3,597,587 ops/sec 1,919,289 ops/sec 1.9 50.00% 50.00% +38.00%
      Redis RPS (pipeline=16, SET) 16,419,524 ops/sec 11,728,058 ops/sec 1.3 20.00% 20.00% +5.40%
      PassMark Memory Mark (composite) 1,568 2,416 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 315,345 MB/sec 108,466 MB/sec 2.9 10.00% 10.00% +11.00%
      PassMark single-thread CPU 2,735 Mops/s 2,365 Mops/s 1.1 10.00% 10.00% +0.96%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,812

      Geekbench Multi-Core

      Score: 4,526

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      32,265
      Compression
      342,141
      Encryption
      19,633
      Extended Instructions
      31,753
      Floating Point Maths
      89,321
      Integer Maths
      97,990
      Physics
      3,211
      Prime Numbers
      180
      Single Threaded
      2,735
      String Sorting
      45,041

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,568
      Database Operations
      10,593
      Memory Latency
      161
      Memory Read Cached
      24,996
      Memory Read Uncached
      18,232
      Memory Write
      16,855

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      458.64 383.92 0.84×
      bitops
      168,659 2,271,960 13.47×
      branch
      134,442 1,909,640 14.20×
      funccall
      661.33 9,715 14.69×
      funcret
      21,639 313,275 14.48×
      hash
      176,379 2,486,023 14.09×
      intmath
      66,394 981,370 14.78×
      nop
      335,575 4,139,570 12.34×
      prime
      424,929 5,376,449 12.65×
      rotate
      96,614 1,154,863 11.95×
      str
      882,294 9,623,037 10.91×
      wcs
      506,422 7,843,951 15.49×
      CryptographySingleMultiScaling
      crypt
      2,974 35,752 12.02×
      CompressionSingleMultiScaling
      jpeg
      905.06 13,388 14.79×
      zlib
      53.02 749.1 14.13×
      HypervisorSingleMultiScaling
      clock
      56,633 85,364 1.51×
      clone
      235.99 1,936 8.20×
      context
      6,357 96,354 15.16×
      cpu-sched
      63.6 839 13.19×
      eventfd
      49,197 1,527,448 31.05×
      fault
      20,849 37,710 1.81×
      fork
      3,828 2,985 0.78×
      getrandom
      53,706 1,042,487 19.41×
      hrtimers
      512,253 2,504,541 4.89×
      mprotect
      579,257 5,507,706 9.51×
      mtx
      29,553,193 1,121,691,938 37.96×
      munmap
      2,334 21,713 9.30×
      null
      1,153,140 17,550,365 15.22×
      pipe
      2,201,040 9,665,378 4.39×
      priv-instr
      921,843 8,020,071 8.70×
      resched
      8,151,046 2,690,494 0.33×
      switch
      95,038 4,260,557 44.83×
      timermix
      215,006 3,820,368 17.77×
      tlb-shootdown
      24,360 96,736 3.97×
      tsc
      755,124 12,696,864 16.81×
      usersyscall
      754,645 7,259,125 9.62×
      vdso
      80,362,874 1,102,448,170 13.72×
      vfork
      6,274 70,482 11.23×
      x86syscall
      13,404,684 198,261,198 14.79×
      yield
      15,665,979 20,274,630 1.29×
      zero
      5,210,675 78,422,179 15.05×
      CPU float/SIMDSingleMultiScaling
      eigen
      11,782 131,626 11.17×
      expmath
      2,843 27,545 9.69×
      fma
      1,369,424 20,321,714 14.84×
      fp
      158.4 2,520 15.91×
      fractal
      7.4 111.21 15.03×
      hyperbolic
      4,295 66,454 15.47×
      logmath
      4,611 66,616 14.45×
      matrix
      4,480 72,076 16.09×
      matrix-3d
      845.24 6,180 7.31×
      monte-carlo
      376.25 5,637 14.98×
      mpfr
      1,847 24,782 13.42×
      powmath
      1,508 23,261 15.42×
      trig
      1,511 25,400 16.81×
      veccmp
      16,231 256,062 15.78×
      vecfp
      1,740 28,356 16.30×
      vecmath
      3,725 56,789 15.25×
      vecshuf
      621.57 10,041 16.15×
      vecwide
      30,230 408,152 13.50×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8.8 117.4 13.34×
      bsearch
      266.82 3,976 14.90×
      bubblesort
      1 12.8 12.80×
      fibsearch
      318.11 4,829 15.18×
      heapsort
      10.4 150.19 14.44×
      hsearch
      8,746 122,354 13.99×
      insertionsort
      9.6 132.2 13.77×
      malloc
      1,556,112 21,458,997 13.79×
      mcontend
      101.31 2,130 21.02×
      mergesort
      31.2 447.79 14.35×
      qsort
      20 242.45 12.12×
      skiplist
      6,255 99,378 15.89×
      tree
      1.2 10 8.33×
      MemorySingleMultiScaling
      cache
      833,658 1,129,295 1.35×
      cachehammer
      211,707 2,576,496 12.17×
      cacheline
      50.89 938.75 18.45×
      l1cache
      532.29 8,004 15.04×
      memcpy
      486.13 6,548 13.47×
      memrate
      0.75 8.69 11.59×
      memthrash
      68.92 605.47 8.79×
      ptr-chase
      6,016,966 85,046,392 14.13×
      spinmem
      313.98 863.63 2.75×
      stream
      260.98 23,632 90.55×
      vm
      156,779 293,112 1.87×

      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-16xCPU-128GB FAQs