CLOUDNATIVE-16xCPU-96GB by UpCloud

CLOUDNATIVE-16xCPU-96GB is a Cloud Native (16 vCPUs, 96 GiB RAM) server offered by UpCloud with 16 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.5642 USD per hour.
16 vCPU
96 GiB Memory
Spare SCore
12,410
(All-cores)
779
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-16xCPU-96GB
Description
Cloud Native (16 vCPUs, 96 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
123
Status
active
Observed At
2026-10-28T08:29:57.808619

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.5642 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.5642 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.5642 USD/h
Madrid #1 (ES) / es-mad1
- 0.5642 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.5642 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.5642 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.5642 USD/h
Stavanger #1 (NO) / no-svg1
- 0.5642 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.5642 USD/h
Stockholm #1 (SE) / se-sto1
- 0.5642 USD/h
Singapore #1 (SG) / sg-sin1
- 0.5642 USD/h
London #1 (GB) / uk-lon1
- 0.5642 USD/h
Chicago #1 (US) / us-chi1
- 0.5642 USD/h
New York #1 (US) / us-nyc1
- 0.5642 USD/h
San Jose #1 (US) / us-sjo1
- 0.5642 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
15.9
Scalability
99.38

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      26624 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-dense virtual server featuring sixteen shared cores for balanced multi-threaded workloads and cost-efficient general-purpose computing.

      General PurposeBurstable & Budget

      UpCloud CLOUDNATIVE-16xCPU-96GB is a KVM-based virtual server configured with 16 shared vCPUs on an AMD EPYC 7542 processor running at 2.0 GHz, paired with 96.0 GB of RAM. Lacking local storage and dedicated GPU hardware, this instance relies on network-attached storage and is designed for general-purpose workloads. Benchmark data reveals a significant performance gap between single-core and multi-core operations; single-core stress-ng performance ranks in the bottom 10%, whereas multi-core benchmarks, memory bandwidth, and database operations consistently achieve average marks. Notably, text processing performs strongly, placing in the top 25%. Given the shared CPU allocation, this server offers a cost-efficient profile for resource-dense workloads that benefit from high memory capacity but do not demand sustained, dedicated single-core compute power. It is well-suited for multi-threaded applications, static web serving, and general-purpose background processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.85Score
      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) 1,597,794 ops/sec 1,919,289 ops/sec 0.84 50.00% 50.00% -8.30%
      Redis RPS (pipeline=16, SET) 12,182,972 ops/sec 11,728,058 ops/sec 1 20.00% 20.00% 0.00%
      PassMark Memory Mark (composite) 2,362 2,416 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 58,684 MB/sec 108,466 MB/sec 0.54 10.00% 10.00% -6.00%
      PassMark single-thread CPU 2,174 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,864

      Geekbench Multi-Core

      Score: 13,359

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28,289
      Compression
      		 335,486
      Encryption
      		 18,598
      Extended Instructions
      		 28,859
      Floating Point Maths
      		 55,551
      Integer Maths
      		 76,146
      Physics
      		 4,012
      Prime Numbers
      		 244
      Single Threaded
      		 2,174
      String Sorting
      		 44,977

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,362
      Database Operations
      		 9,717
      Memory Latency
      		 65
      Memory Read Cached
      		 25,112
      Memory Read Uncached
      		 10,632
      Memory Write
      		 10,438

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 444.16 431.22 0.97×
      bitops
      		 147,178 940,997 6.39×
      branch
      		 133,206 685,440 5.15×
      funccall
      		 537.18 4,874 9.07×
      funcret
      		 16,711 167,300 10.01×
      hash
      		 138,769 1,472,252 10.61×
      intmath
      		 64,578 533,114 8.26×
      nop
      		 217,702 1,118,471 5.14×
      prime
      		 362,121 4,406,779 12.17×
      rotate
      		 78,021 846,450 10.85×
      str
      		 796,142 13,326,144 16.74×
      wcs
      		 882,829 11,738,145 13.30×
      CryptographySingleMultiScaling
      crypt
      		 2,632 25,353 9.63×
      CompressionSingleMultiScaling
      jpeg
      		 811.97 4,971 6.12×
      zlib
      		 82.39 1,090 13.22×
      HypervisorSingleMultiScaling
      clock
      		 54,072 72,871 1.35×
      clone
      		 272.75 699.91 2.57×
      context
      		 6,249 77,384 12.38×
      cpu-sched
      		 59.88 904.54 15.11×
      eventfd
      		 33,471 472,617 14.12×
      fault
      		 20,359 38,821 1.91×
      fork
      		 964.06 2,339 2.43×
      getrandom
      		 57,970 457,900 7.90×
      hrtimers
      		 90,192 750,075 8.32×
      mprotect
      		 657,894 2,135,942 3.25×
      mtx
      		 38,230,924 505,590,261 13.22×
      munmap
      		 901.6 1,731 1.92×
      null
      		 1,058,989 6,849,914 6.47×
      pipe
      		 556,209 4,268,334 7.67×
      priv-instr
      		 881,121 5,161,953 5.86×
      resched
      		 5,979,240 3,344,103 0.56×
      switch
      		 41,033 3,693,712 90.02×
      timermix
      		 145,739 2,937,324 20.15×
      tlb-shootdown
      		 13,029 71,251 5.47×
      tsc
      		 813,005 12,341,084 15.18×
      usersyscall
      		 849,108 6,649,697 7.83×
      vdso
      		 78,179,748 1,229,107,760 15.72×
      vfork
      		 34,416 135,483 3.94×
      x86syscall
      		 16,819,986 240,513,917 14.30×
      yield
      		 28,508,226 26,007,889 0.91×
      zero
      		 7,038,282 101,349,392 14.40×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 11,164 78,983 7.07×
      expmath
      		 2,691 25,813 9.59×
      fma
      		 1,124,082 11,716,546 10.42×
      fp
      		 142.79 1,366 9.56×
      fractal
      		 7.2 65.51 9.10×
      hyperbolic
      		 3,513 29,372 8.36×
      logmath
      		 3,915 38,776 9.90×
      matrix
      		 4,327 31,021 7.17×
      matrix-3d
      		 612.56 5,796 9.46×
      monte-carlo
      		 322.63 3,138 9.73×
      mpfr
      		 1,617 11,312 6.99×
      powmath
      		 1,302 12,504 9.60×
      trig
      		 1,616 26,376 16.32×
      veccmp
      		 20,179 320,257 15.87×
      vecfp
      		 1,989 29,432 14.80×
      vecmath
      		 3,942 59,391 15.07×
      vecshuf
      		 732.92 12,289 16.77×
      vecwide
      		 34,470 445,602 12.93×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 7.4 38.59 5.21×
      bsearch
      		 250.66 2,249 8.97×
      bubblesort
      		 0.8 5.19 6.49×
      fibsearch
      		 260.39 2,494 9.58×
      heapsort
      		 9 82.36 9.15×
      hsearch
      		 6,799 55,772 8.20×
      insertionsort
      		 6.8 73.53 10.81×
      malloc
      		 1,446,048 19,790,593 13.69×
      mcontend
      		 176.13 1,891 10.74×
      mergesort
      		 29 195.97 6.76×
      qsort
      		 18.6 223.57 12.02×
      skiplist
      		 5,724 68,606 11.99×
      tree
      		 1 12.4 12.40×
      MemorySingleMultiScaling
      cache
      		 819,064 970,757 1.19×
      cachehammer
      		 211,895 951,625 4.49×
      cacheline
      		 72.33 822.78 11.38×
      l1cache
      		 519.91 4,858 9.34×
      memcpy
      		 380.18 3,293 8.66×
      memrate
      		 0.51 5.6 10.98×
      memthrash
      		 39.55 129.61 3.28×
      ptr-chase
      		 14,426,855 47,728,917 3.31×
      spinmem
      		 258.35 735.44 2.85×
      stream
      		 61.85 15,170 245.28×
      vm
      		 192,058 293,084 1.53×

      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-96GB FAQs