HIMEM-4xCPU-32GB by UpCloud

HIMEM-4xCPU-32GB is a High Memory (4 vCPUs, 32 GiB RAM) server offered by UpCloud with 4 vCPUs, 32 GiB of memory and 100 GB of storage. The pricing starts at 0.2404 USD per hour.
4 vCPU
32 GiB Memory
100 GB Storage
Spare SCore
3,116
(All-cores)
784
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
HIMEM-4xCPU-32GB
Description
High Memory (4 vCPUs, 32 GiB RAM)
Family
High Memory
Hw Virt
Status
retired
Observed At
2026-11-03T10:03:06.468432

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.2404 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.2404 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.2404 USD/h
Madrid #1 (ES) / es-mad1
- 0.2404 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.2404 USD/h
Stavanger #1 (NO) / no-svg1
- 0.2404 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.2404 USD/h
Stockholm #1 (SE) / se-sto1
- 0.2404 USD/h
Singapore #1 (SG) / sg-sin1
- 0.2404 USD/h
London #1 (GB) / uk-lon1
- 0.2404 USD/h
Chicago #1 (US) / us-chi1
- 0.2404 USD/h
New York #1 (US) / us-nyc1
- 0.2404 USD/h
San Jose #1 (US) / us-sjo1
- 0.2404 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.2804 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.2804 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
4
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
256 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
2 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
4
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    100 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      4096 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring high RAM density and local SSD storage for workloads with moderate processing requirements.

      Memory OptimizedBurstable & Budget

      The UpCloud HIMEM-4xCPU-32GB is a KVM-based virtual server designed for memory-intensive workloads. It features 4 vCPUs powered by an AMD EPYC 7542 processor at 2.0 GHz, paired with 32.0 GB of RAM and a 100 GB local SSD. While providing a generous 8.0 GB of memory per core, the server utilizes a shared CPU allocation model. This configuration results in a performance tradeoff, with benchmarks showing poor single-core and weak multi-core CPU performance. Memory read bandwidth remains average, but uncached write bandwidth and overall Passmark memory scores are low. Consequently, this server is best suited for memory-heavy applications with moderate CPU requirements, such as caching layers, lightweight databases, or memory-intensive development environments, rather than high-throughput transactional systems or compute-heavy tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.31Score
      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) 392,646 ops/sec 1,920,103 ops/sec 0.21 50.00% 50.00% -54.00%
      Redis RPS (pipeline=16, SET) 2,621,721 ops/sec 11,744,104 ops/sec 0.22 20.00% 20.00% -26.00%
      PassMark Memory Mark (composite) 1,188 2,415 0.5 10.00% 10.00% -6.70%
      Memory bandwidth (read, 16 MB ~ L3) 91,888 MB/sec 108,490 MB/sec 0.84 10.00% 10.00% -1.70%
      PassMark single-thread CPU 2,136 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,325

      Geekbench Multi-Core

      Score: 4,153

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      7,963
      Compression
      82,291
      Encryption
      4,555
      Extended Instructions
      6,706
      Floating Point Maths
      13,739
      Integer Maths
      18,801
      Physics
      856
      Prime Numbers
      64
      Single Threaded
      2,136
      String Sorting
      11,020

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1,188
      Database Operations
      1,901
      Memory Latency
      129
      Memory Read Cached
      24,257
      Memory Read Uncached
      5,276
      Memory Write
      4,715

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      466.54 419 0.90×
      bitops
      197,560 516,038 2.61×
      branch
      145,248 551,990 3.80×
      funccall
      561.36 1,753 3.12×
      funcret
      18,708 63,076 3.37×
      hash
      156,977 548,971 3.50×
      intmath
      63,330 201,583 3.18×
      nop
      252,265 891,723 3.53×
      prime
      398,846 1,292,281 3.24×
      rotate
      88,757 346,016 3.90×
      str
      778,172 2,968,459 3.81×
      wcs
      561,502 2,064,575 3.68×
      CryptographySingleMultiScaling
      crypt
      3,188 12,049 3.78×
      CompressionSingleMultiScaling
      jpeg
      798.78 2,486 3.11×
      zlib
      49.27 192.79 3.91×
      HypervisorSingleMultiScaling
      clock
      61,985 151,019 2.44×
      clone
      425.74 1,223 2.87×
      context
      6,505 26,091 4.01×
      cpu-sched
      66.87 247.02 3.69×
      eventfd
      50,272 537,313 10.69×
      fault
      25,113 59,539 2.37×
      fork
      3,531 15,029 4.26×
      getrandom
      57,260 195,525 3.41×
      hrtimers
      121,997 497,093 4.07×
      mprotect
      732,536 1,529,744 2.09×
      mtx
      36,644,177 209,789,445 5.73×
      munmap
      2,837 11,614 4.09×
      null
      1,098,565 3,923,438 3.57×
      pipe
      766,998 3,046,358 3.97×
      priv-instr
      957,047 3,163,025 3.30×
      resched
      2,237,274 1,189,924 0.53×
      switch
      40,362 1,020,081 25.27×
      timermix
      195,059 545,401 2.80×
      tlb-shootdown
      10,453 19,110 1.83×
      tsc
      739,830 2,199,346 2.97×
      usersyscall
      678,335 2,139,710 3.15×
      vdso
      76,834,071 275,878,014 3.59×
      vfork
      13,423 51,790 3.86×
      x86syscall
      13,368,820 49,217,190 3.68×
      yield
      5,986,403 5,423,796 0.91×
      zero
      5,010,969 15,376,221 3.07×
      CPU float/SIMDSingleMultiScaling
      eigen
      10,403 41,890 4.03×
      expmath
      2,691 9,368 3.48×
      fma
      1,211,823 4,616,159 3.81×
      fp
      143.3 608.15 4.24×
      fractal
      7.4 27 3.65×
      hyperbolic
      3,923 14,081 3.59×
      logmath
      4,332 11,985 2.77×
      matrix
      4,459 16,521 3.71×
      matrix-3d
      991.49 2,965 2.99×
      monte-carlo
      312.79 1,087 3.48×
      mpfr
      1,505 4,632 3.08×
      powmath
      1,249 4,777 3.83×
      trig
      1,571 5,778 3.68×
      veccmp
      18,656 70,961 3.80×
      vecfp
      1,944 6,717 3.46×
      vecmath
      3,336 11,673 3.50×
      vecshuf
      676.12 2,007 2.97×
      vecwide
      31,782 105,046 3.31×
      AlgorithmsSingleMultiScaling
      bitonicsort
      9.6 31.4 3.27×
      bsearch
      287.89 999.55 3.47×
      bubblesort
      1 3.4 3.40×
      fibsearch
      279.87 1,017 3.63×
      heapsort
      8.6 32.4 3.77×
      hsearch
      7,755 25,936 3.34×
      insertionsort
      6.8 26.2 3.85×
      malloc
      2,934,678 11,062,642 3.77×
      mcontend
      148.68 460.53 3.10×
      mergesort
      25.8 101.2 3.92×
      qsort
      16.2 62.76 3.87×
      skiplist
      5,649 19,605 3.47×
      tree
      0.4 2.6 6.50×
      MemorySingleMultiScaling
      cache
      912,125 960,576 1.05×
      cachehammer
      235,341 894,492 3.80×
      cacheline
      36.96 157.4 4.26×
      l1cache
      511.06 1,755 3.43×
      memcpy
      365.08 1,431 3.92×
      memrate
      0.71 3.09 4.35×
      memthrash
      70.23 138.28 1.97×
      ptr-chase
      13,286,992 23,749,014 1.79×
      spinmem
      320.58 156.44 0.49×
      stream
      233.57 2,539 10.87×
      vm
      113,876 291,462 2.56×

      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

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      HIMEM-4xCPU-32GB FAQs