CLOUDNATIVE-8xCPU-128GB by UpCloud

CLOUDNATIVE-8xCPU-128GB is a Cloud Native (8 vCPUs, 128 GiB RAM) server offered by UpCloud with 8 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.5649 USD per hour.
8 vCPU
128 GiB Memory
Spare SCore
6,051
(All-cores)
764
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-8xCPU-128GB
Description
Cloud Native (8 vCPUs, 128 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
142
Status
active
Observed At
2026-11-07T13:48:00.240701

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.5649 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.5649 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.5649 USD/h
Madrid #1 (ES) / es-mad1
- 0.5649 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.5649 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.5649 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.5649 USD/h
Stavanger #1 (NO) / no-svg1
- 0.5649 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.5649 USD/h
Stockholm #1 (SE) / se-sto1
- 0.5649 USD/h
Singapore #1 (SG) / sg-sin1
- 0.5649 USD/h
London #1 (GB) / uk-lon1
- 0.5649 USD/h
Chicago #1 (US) / us-chi1
- 0.5649 USD/h
New York #1 (US) / us-nyc1
- 0.5649 USD/h
San Jose #1 (US) / us-sjo1
- 0.5649 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
8
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
512 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
4 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
7.9
Scalability
98.75

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
      30720 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-dense virtual server featuring shared AMD EPYC processors, designed for memory-intensive workloads and text processing applications.

      Memory OptimizedBurstable & BudgetGeneral Purpose

      UpCloud CLOUDNATIVE-8xCPU-128GB is an x86_64 virtual server built on the KVM hypervisor, featuring an AMD EPYC 7542 processor with 8 shared vCPUs and 8 physical cores running at 2.0 GHz. It is configured with 128.0 GB of RAM, yielding a high memory-to-core ratio of 16.0 GB per core, with no local storage or GPU resources. Performance benchmarks show average results for memory bandwidth, static web serving, and database operations, alongside top-tier text processing capabilities, though raw CPU stress tests indicate weak to poor compute performance. This resource profile makes the server a cost-efficient option for memory-intensive workloads that can tolerate shared CPU allocation, such as in-memory caching, text processing, and database operations. It is well suited for applications requiring large memory footprints without needing dedicated, high-performance CPU cores.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.49Score
      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) 741,405 ops/sec 1,933,252 ops/sec 0.39 50.00% 50.00% -38.00%
      Redis RPS (pipeline=16, SET) 5,874,180 ops/sec 11,803,344 ops/sec 0.49 20.00% 20.00% -13.00%
      PassMark Memory Mark (composite) 1,358 2,407 0.58 10.00% 10.00% -5.30%
      Memory bandwidth (read, 16 MB ~ L3) 80,657 MB/sec 108,651 MB/sec 0.74 10.00% 10.00% -3.00%
      PassMark single-thread CPU 2,045 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,807

      Geekbench Multi-Core

      Score: 10,963

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      14,708
      Compression
      160,276
      Encryption
      8,906
      Extended Instructions
      13,242
      Floating Point Maths
      26,534
      Integer Maths
      36,719
      Physics
      1,852
      Prime Numbers
      121
      Single Threaded
      2,045
      String Sorting
      20,548

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,358
      Database Operations
      5,048
      Memory Latency
      150
      Memory Read Cached
      23,463
      Memory Read Uncached
      7,414
      Memory Write
      7,456

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      444.76 382.52 0.86×
      bitops
      145,663 1,048,147 7.20×
      branch
      124,591 933,651 7.49×
      funccall
      527.94 3,322 6.29×
      funcret
      16,860 115,102 6.83×
      hash
      150,763 949,318 6.30×
      intmath
      57,210 271,364 4.74×
      nop
      284,803 1,492,489 5.24×
      prime
      377,159 2,432,485 6.45×
      rotate
      100,984 450,638 4.46×
      str
      868,777 5,312,712 6.12×
      wcs
      642,169 6,228,408 9.70×
      CryptographySingleMultiScaling
      crypt
      2,870 17,295 6.03×
      CompressionSingleMultiScaling
      jpeg
      705.46 3,652 5.18×
      zlib
      55.87 568.61 10.18×
      HypervisorSingleMultiScaling
      clock
      56,876 124,958 2.20×
      clone
      293.32 1,958 6.67×
      context
      6,450 43,606 6.76×
      cpu-sched
      62.43 481.02 7.70×
      eventfd
      32,785 700,400 21.36×
      fault
      17,991 52,151 2.90×
      fork
      1,628 5,800 3.56×
      getrandom
      57,628 374,586 6.50×
      hrtimers
      273,215 546,713 2.00×
      mprotect
      606,582 1,905,856 3.14×
      mtx
      38,378,341 413,127,545 10.76×
      munmap
      1,209 5,648 4.67×
      null
      1,061,713 4,455,032 4.20×
      pipe
      809,285 4,364,997 5.39×
      priv-instr
      885,652 4,978,787 5.62×
      resched
      3,265,679 1,751,872 0.54×
      switch
      48,830 1,696,212 34.74×
      timermix
      157,714 1,488,832 9.44×
      tlb-shootdown
      13,299 36,208 2.72×
      tsc
      752,076 5,975,584 7.95×
      usersyscall
      728,582 3,035,000 4.17×
      vdso
      83,837,075 659,857,289 7.87×
      vfork
      25,533 113,869 4.46×
      x86syscall
      14,978,885 127,774,843 8.53×
      yield
      8,477,773 12,799,375 1.51×
      zero
      6,323,744 50,926,173 8.05×
      CPU float/SIMDSingleMultiScaling
      eigen
      11,748 59,196 5.04×
      expmath
      2,873 16,780 5.84×
      fma
      959,875 5,747,677 5.99×
      fp
      146.39 809.54 5.53×
      fractal
      7.2 37.08 5.15×
      hyperbolic
      3,648 16,053 4.40×
      logmath
      3,369 28,762 8.54×
      matrix
      4,069 22,335 5.49×
      matrix-3d
      617.78 4,105 6.65×
      monte-carlo
      322.69 1,688 5.23×
      mpfr
      1,478 7,983 5.40×
      powmath
      1,285 8,541 6.64×
      trig
      1,567 13,042 8.32×
      veccmp
      20,022 171,622 8.57×
      vecfp
      1,828 15,530 8.49×
      vecmath
      3,482 30,790 8.84×
      vecshuf
      688.59 6,229 9.05×
      vecwide
      27,796 266,526 9.59×
      AlgorithmsSingleMultiScaling
      bitonicsort
      7.4 53.6 7.24×
      bsearch
      234.07 1,690 7.22×
      bubblesort
      0.8 6.2 7.75×
      fibsearch
      257.52 1,493 5.80×
      heapsort
      8.6 42.19 4.91×
      hsearch
      6,325 37,848 5.98×
      insertionsort
      6.8 35.17 5.17×
      malloc
      1,454,616 15,464,991 10.63×
      mcontend
      260.14 1,019 3.92×
      mergesort
      26.4 173.75 6.58×
      qsort
      17.2 103.72 6.03×
      skiplist
      5,880 30,506 5.19×
      tree
      1.4 8 5.71×
      MemorySingleMultiScaling
      cache
      663,960 1,028,252 1.55×
      cachehammer
      188,280 1,471,924 7.82×
      cacheline
      48.24 391.37 8.11×
      l1cache
      733.21 2,097 2.86×
      memcpy
      391.1 2,334 5.97×
      memrate
      0.59 3.01 5.10×
      memthrash
      39.23 98.37 2.51×
      ptr-chase
      16,409,520 60,511,740 3.69×
      spinmem
      290.88 366.4 1.26×
      stream
      65.02 5,115 78.68×
      vm
      134,694 292,300 2.17×

      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

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      CLOUDNATIVE-8xCPU-128GB FAQs