CLOUDNATIVE-16xCPU-64GB by UpCloud

CLOUDNATIVE-16xCPU-64GB is a Cloud Native (16 vCPUs, 64 GiB RAM) server offered by UpCloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.4471 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
11,615
(All-cores)
786
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-16xCPU-64GB
Description
Cloud Native (16 vCPUs, 64 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
125
Status
active
Observed At
2026-11-12T10:22:39.544274

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.4471 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.4471 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.4471 USD/h
Madrid #1 (ES) / es-mad1
- 0.4471 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.4471 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.4471 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.4471 USD/h
Stavanger #1 (NO) / no-svg1
- 0.4471 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.4471 USD/h
Stockholm #1 (SE) / se-sto1
- 0.4471 USD/h
Singapore #1 (SG) / sg-sin1
- 0.4471 USD/h
London #1 (GB) / uk-lon1
- 0.4471 USD/h
Chicago #1 (US) / us-chi1
- 0.4471 USD/h
New York #1 (US) / us-nyc1
- 0.4471 USD/h
San Jose #1 (US) / us-sjo1
- 0.4471 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
7542
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, 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
14.8
Scalability
92.5

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      Compatible Storage IDs
      maxiops, standard, hdd
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      20480 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A shared-core virtual server offering balanced memory and multi-core processing for general-purpose workloads without local storage requirements.

      UpCloud CLOUDNATIVE-16xCPU-64GB is a general-purpose virtual server utilizing the KVM hypervisor and an x86_64 AMD EPYC 7542 processor. It features 16 shared vCPUs, 64.0 GB of RAM, and no integrated local storage or GPU. Performance benchmarks show average multi-core capabilities, with Geekbench multi-core and PassMark CPU scores in the middle 50%. Single-core performance is mixed, with Geekbench single-core scoring in the top 25% while stress-ng single-core falls in the bottom 10%. Memory write bandwidth and static web serving throughput are weak, both ranking in the bottom 25%. The shared CPU allocation provides a cost-efficient resource density for non-continuous workloads, though it introduces potential resource contention. This configuration is suitable for general-purpose applications, multi-threaded software compilation, and text processing tasks that do not require dedicated CPU cores or local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.7Score
      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) 1,311,546 ops/sec 1,926,573 ops/sec 0.68 50.00% 50.00% -18.00%
      Redis RPS (pipeline=16, SET) 9,800,919 ops/sec 11,810,473 ops/sec 0.82 20.00% 20.00% -3.90%
      PassMark Memory Mark (composite) 1,683 2,407 0.71 10.00% 10.00% -3.40%
      Memory bandwidth (read, 16 MB ~ L3) 49,716 MB/sec 108,674 MB/sec 0.45 10.00% 10.00% -7.70%
      PassMark single-thread CPU 2,184 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,056

      Geekbench Multi-Core

      Score: 15,148

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 25,240
      Compression
      		 292,199
      Encryption
      		 18,165
      Extended Instructions
      		 21,506
      Floating Point Maths
      		 50,041
      Integer Maths
      		 71,933
      Physics
      		 2,439
      Prime Numbers
      		 177
      Single Threaded
      		 2,184
      String Sorting
      		 39,802

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,683
      Database Operations
      		 8,497
      Memory Latency
      		 120
      Memory Read Cached
      		 24,644
      Memory Read Uncached
      		 11,007
      Memory Write
      		 9,691

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 443.04 368.87 0.83×
      bitops
      		 204,314 2,749,520 13.46×
      branch
      		 170,102 2,515,949 14.79×
      funccall
      		 945.2 13,668 14.46×
      funcret
      		 28,247 407,830 14.44×
      hash
      		 230,303 3,594,376 15.61×
      intmath
      		 84,125 1,321,615 15.71×
      nop
      		 438,249 6,871,867 15.68×
      prime
      		 653,478 9,267,821 14.18×
      rotate
      		 148,245 2,228,928 15.04×
      str
      		 1,549,765 22,121,856 14.27×
      wcs
      		 1,053,805 13,294,979 12.62×
      CryptographySingleMultiScaling
      crypt
      		 5,391 81,413 15.10×
      CompressionSingleMultiScaling
      jpeg
      		 1,333 18,732 14.06×
      zlib
      		 58.66 1,192 20.32×
      HypervisorSingleMultiScaling
      clock
      		 68,374 117,109 1.71×
      clone
      		 356.44 2,909 8.16×
      context
      		 7,920 121,973 15.40×
      cpu-sched
      		 58.87 1,077 18.30×
      eventfd
      		 74,507 873,422 11.72×
      fault
      		 38,407 201,600 5.25×
      fork
      		 7,486 66,054 8.82×
      getrandom
      		 103,522 1,546,087 14.93×
      hrtimers
      		 2,249,855 3,769,683 1.68×
      mprotect
      		 843,294 8,432,222 10.00×
      mtx
      		 24,797,224 1,382,918,508 55.77×
      munmap
      		 5,538 54,392 9.82×
      null
      		 1,480,174 23,110,259 15.61×
      pipe
      		 2,268,516 13,674,668 6.03×
      priv-instr
      		 1,383,832 13,689,257 9.89×
      resched
      		 14,876,340 7,620,984 0.51×
      switch
      		 122,002 6,771,044 55.50×
      timermix
      		 343,567 4,698,433 13.68×
      tlb-shootdown
      		 28,346 125,863 4.44×
      tsc
      		 941,139 15,065,439 16.01×
      usersyscall
      		 1,109,592 13,789,583 12.43×
      vdso
      		 103,729,345 1,572,692,227 15.16×
      vfork
      		 49,427 253,941 5.14×
      x86syscall
      		 20,214,057 303,178,891 15.00×
      yield
      		 27,112,374 30,086,462 1.11×
      zero
      		 8,324,239 116,140,809 13.95×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 18,414 280,886 15.25×
      expmath
      		 4,224 65,151 15.42×
      fma
      		 1,594,186 24,888,076 15.61×
      fp
      		 230.4 3,414 14.82×
      fractal
      		 9.4 138.6 14.74×
      hyperbolic
      		 5,627 84,233 14.97×
      logmath
      		 5,952 92,828 15.60×
      matrix
      		 9,247 115,082 12.45×
      matrix-3d
      		 904.98 6,024 6.66×
      monte-carlo
      		 474.87 7,233 15.23×
      mpfr
      		 2,492 35,428 14.21×
      powmath
      		 1,931 29,347 15.20×
      trig
      		 2,496 38,161 15.29×
      veccmp
      		 30,697 434,627 14.16×
      vecfp
      		 2,615 40,426 15.46×
      vecmath
      		 4,964 75,457 15.20×
      vecshuf
      		 1,052 15,839 15.05×
      vecwide
      		 42,878 625,664 14.59×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 11.4 156.8 13.75×
      bsearch
      		 343.27 4,488 13.07×
      bubblesort
      		 1 13.2 13.20×
      fibsearch
      		 444.5 6,269 14.10×
      heapsort
      		 15.6 222.8 14.28×
      hsearch
      		 13,674 198,301 14.50×
      insertionsort
      		 14.6 213.8 14.64×
      malloc
      		 4,232,650 36,348,718 8.59×
      mcontend
      		 258.16 3,027 11.73×
      mergesort
      		 41.2 622.19 15.10×
      qsort
      		 28.8 415.19 14.42×
      skiplist
      		 8,698 132,197 15.20×
      tree
      		 2.4 22.19 9.25×
      MemorySingleMultiScaling
      cache
      		 329,231 1,449,367 4.40×
      cachehammer
      		 62,964 1,965,802 31.22×
      cacheline
      		 62.29 936.84 15.04×
      l1cache
      		 719.35 10,461 14.54×
      memcpy
      		 824.46 10,596 12.85×
      memrate
      		 1.13 8.97 7.94×
      memthrash
      		 181.27 827.72 4.57×
      ptr-chase
      		 19,539,429 128,026,771 6.55×
      spinmem
      		 426.58 1,437 3.37×
      stream
      		 392.02 18,334 46.77×
      vm
      		 245,120 293,813 1.20×

      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

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      CLOUDNATIVE-1xCPU-4GB 14 GiB0
      CLOUDNATIVE-1xCPU-8GB 18 GiB0
      CLOUDNATIVE-2xCPU-4GB 24 GiB0
      CLOUDNATIVE-2xCPU-8GB 28 GiB0
      CLOUDNATIVE-2xCPU-16GB 216 GiB0
      CLOUDNATIVE-4xCPU-8GB 48 GiB0
      CLOUDNATIVE-4xCPU-16GB 416 GiB0

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      CLOUDNATIVE-16xCPU-64GB FAQs