HIMEM-2xCPU-16GB by UpCloud

HIMEM-2xCPU-16GB is a High Memory (2 vCPUs, 16 GiB RAM) server offered by UpCloud with 2 vCPUs, 16 GiB of memory and 100 GB of storage. The pricing starts at 0.1162 USD per hour.
2 vCPU
16 GiB Memory
100 GB Storage
Spare SCore
7,428
(All-cores)
3,610
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
HIMEM-2xCPU-16GB
Description
High Memory (2 vCPUs, 16 GiB RAM)
Family
High Memory
Hw Virt
Average Time To Start
166.67
Status
retired
Observed At
2026-11-12T23:32:07.571496

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.1162 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.1162 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.1162 USD/h
Madrid #1 (ES) / es-mad1
- 0.1162 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.1162 USD/h
Stavanger #1 (NO) / no-svg1
- 0.1162 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.1162 USD/h
Stockholm #1 (SE) / se-sto1
- 0.1162 USD/h
Singapore #1 (SG) / sg-sin1
- 0.1162 USD/h
London #1 (GB) / uk-lon1
- 0.1162 USD/h
Chicago #1 (US) / us-chi1
- 0.1162 USD/h
New York #1 (US) / us-nyc1
- 0.1162 USD/h
San Jose #1 (US) / us-sjo1
- 0.1162 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.155 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.155 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
2
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
128 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
1 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
2.1
Scalability
105

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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
      Compatible Storage IDs
      maxiops, standard, hdd
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      2048 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly, memory-optimized virtual server featuring a high RAM-to-vCPU ratio for lightweight caching and memory-intensive single-threaded workloads.

      UpCloud HIMEM-2xCPU-16GB is a memory-optimized virtual server featuring 2 vCPUs and 16.0 GB of RAM on an x86_64 AMD EPYC 9575F processor. Operating under a KVM hypervisor with a shared CPU allocation, it includes 100 GB of local SSD storage and one public IPv4 address. Performance benchmarks highlight a strong single-core CPU capability, reaching top-tier status in stress-ng single-core tests, alongside strong single-threaded compression speeds. However, multi-core scaling and memory write bandwidth are limited, with write speeds falling into the bottom 10%. This resource profile provides a cost-effective option for memory-heavy, low-compute workloads. It is best suited for lightweight caching, small database operations, and single-threaded processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.28Score
      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) 434,236 ops/sec 1,926,573 ops/sec 0.23 50.00% 50.00% -52.00%
      Redis RPS (pipeline=16, SET) 2,578,381 ops/sec 11,810,473 ops/sec 0.22 20.00% 20.00% -26.00%
      PassMark Memory Mark (composite) 1,145 2,408 0.46 10.00% 10.00% -7.50%
      Memory bandwidth (read, 16 MB ~ L3) 18,933 MB/sec 108,674 MB/sec 0.17 10.00% 10.00% -16.00%
      PassMark single-thread CPU 2,990 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,278

      Geekbench Multi-Core

      Score: 2,195

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 5,008
      Compression
      		 48,622
      Encryption
      		 2,646
      Extended Instructions
      		 4,161
      Floating Point Maths
      		 13,108
      Integer Maths
      		 13,184
      Physics
      		 365
      Prime Numbers
      		 19
      Single Threaded
      		 2,990
      String Sorting
      		 5,823

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,145
      Database Operations
      		 1,121
      Memory Latency
      		 193
      Memory Read Cached
      		 24,843
      Memory Read Uncached
      		 11,627
      Memory Write
      		 13,568

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 524.81 533.82 1.02×
      bitops
      		 193,775 404,421 2.09×
      branch
      		 151,962 309,409 2.04×
      funccall
      		 773.88 1,379 1.78×
      funcret
      		 20,818 40,841 1.96×
      hash
      		 199,373 351,032 1.76×
      intmath
      		 76,930 139,652 1.82×
      nop
      		 345,363 670,210 1.94×
      prime
      		 540,407 919,513 1.70×
      rotate
      		 126,974 237,746 1.87×
      str
      		 1,153,867 2,296,581 1.99×
      wcs
      		 958,387 1,794,303 1.87×
      CryptographySingleMultiScaling
      crypt
      		 4,442 9,372 2.11×
      CompressionSingleMultiScaling
      jpeg
      		 1,124 1,967 1.75×
      zlib
      		 83.13 128.65 1.55×
      HypervisorSingleMultiScaling
      clock
      		 68,742 104,782 1.52×
      clone
      		 618.1 628.08 1.02×
      context
      		 7,858 15,142 1.93×
      cpu-sched
      		 56.45 125.15 2.22×
      eventfd
      		 115,973 431,044 3.72×
      fault
      		 30,888 39,720 1.29×
      fork
      		 10,603 14,380 1.36×
      getrandom
      		 87,117 154,817 1.78×
      hrtimers
      		 132,636 331,412 2.50×
      mprotect
      		 678,489 941,637 1.39×
      mtx
      		 46,139,102 144,337,727 3.13×
      munmap
      		 4,966 12,694 2.56×
      null
      		 1,253,412 2,496,384 1.99×
      pipe
      		 1,266,842 2,605,395 2.06×
      priv-instr
      		 1,278,881 2,138,041 1.67×
      resched
      		 1,122,379 587,796 0.52×
      switch
      		 163,133 670,411 4.11×
      timermix
      		 245,281 490,531 2.00×
      tlb-shootdown
      		 20,240 22,434 1.11×
      tsc
      		 837,524 1,717,045 2.05×
      usersyscall
      		 915,957 1,537,251 1.68×
      vdso
      		 91,890,850 178,658,793 1.94×
      vfork
      		 54,860 87,537 1.60×
      x86syscall
      		 16,894,968 31,273,351 1.85×
      yield
      		 4,069,892 2,914,445 0.72×
      zero
      		 7,132,897 12,918,706 1.81×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,464 32,575 1.98×
      expmath
      		 3,868 7,290 1.88×
      fma
      		 1,523,252 2,799,792 1.84×
      fp
      		 196.8 358.88 1.82×
      fractal
      		 8.8 16.8 1.91×
      hyperbolic
      		 4,461 8,807 1.97×
      logmath
      		 5,137 8,974 1.75×
      matrix
      		 7,303 12,645 1.73×
      matrix-3d
      		 1,210 1,953 1.61×
      monte-carlo
      		 377.14 742.95 1.97×
      mpfr
      		 1,887 3,785 2.01×
      powmath
      		 1,733 3,382 1.95×
      trig
      		 1,954 4,043 2.07×
      veccmp
      		 25,557 52,040 2.04×
      vecfp
      		 2,208 4,377 1.98×
      vecmath
      		 4,075 8,428 2.07×
      vecshuf
      		 895.34 1,835 2.05×
      vecwide
      		 36,425 71,943 1.98×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8.4 18.6 2.21×
      bsearch
      		 324.45 659.37 2.03×
      bubblesort
      		 1.4 2 1.43×
      fibsearch
      		 347.16 621.14 1.79×
      heapsort
      		 13.6 23.8 1.75×
      hsearch
      		 10,901 19,518 1.79×
      insertionsort
      		 13 17.2 1.32×
      malloc
      		 2,160,682 4,134,808 1.91×
      mcontend
      		 241.68 356.8 1.48×
      mergesort
      		 34.6 69.4 2.01×
      qsort
      		 27 49 1.81×
      skiplist
      		 7,181 13,540 1.89×
      tree
      		 1.4 2.6 1.86×
      MemorySingleMultiScaling
      cache
      		 928,732 1,084,090 1.17×
      cachehammer
      		 233,713 486,472 2.08×
      cacheline
      		 46.76 59.65 1.28×
      l1cache
      		 621.83 1,160 1.86×
      memcpy
      		 676.26 1,195 1.77×
      memrate
      		 0.91 1.28 1.41×
      memthrash
      		 75.9 138.73 1.83×
      ptr-chase
      		 6,603,181 11,276,007 1.71×
      spinmem
      		 311.91 176.59 0.57×
      stream
      		 316.52 992.86 3.14×
      vm
      		 216,655 264,842 1.22×

      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

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      HIMEM-2xCPU-16GB FAQs