HIMEM-16xCPU-384GB by UpCloud

HIMEM-16xCPU-384GB is a High Memory (16 vCPUs, 384 GiB RAM) server offered by UpCloud with 16 vCPUs, 384 GiB of memory and 600 GB of storage. The pricing starts at 3.0158 USD per hour.
16 vCPU
384 GiB Memory
600 GB Storage
Spare SCore
12,131
(All-cores)
764
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
HIMEM-16xCPU-384GB
Description
High Memory (16 vCPUs, 384 GiB RAM)
Family
High Memory
Hw Virt
Status
retired
Observed At
2026-10-31T09:00:18.588749

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 3.0158 USD/h
Frankfurt #1 (DE) / de-fra1
- 3.0158 USD/h
Copenhagen #1 (DK) / dk-cph1
- 3.0158 USD/h
Madrid #1 (ES) / es-mad1
- 3.0158 USD/h
Amsterdam #1 (NL) / nl-ams1
- 3.0158 USD/h
Stavanger #1 (NO) / no-svg1
- 3.0158 USD/h
Warsaw #1 (PL) / pl-waw1
- 3.0158 USD/h
Stockholm #1 (SE) / se-sto1
- 3.0158 USD/h
Singapore #1 (SG) / sg-sin1
- 3.0158 USD/h
London #1 (GB) / uk-lon1
- 3.0158 USD/h
Chicago #1 (US) / us-chi1
- 3.0158 USD/h
New York #1 (US) / us-nyc1
- 3.0158 USD/h
San Jose #1 (US) / us-sjo1
- 3.0158 USD/h
Helsinki #1 (FI) / fi-hel1
- 3.3084 USD/h
Helsinki #2 (FI) / fi-hel2
- 3.3084 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
384 GiB
Memory Amount Actual
384 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    600 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      12288 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-dense virtual server featuring high RAM-to-core ratios and local SSD storage for memory-intensive database and caching workloads.

      Memory OptimizedStorage & Database

      UpCloud HIMEM-16xCPU-384GB is a memory-optimized KVM-based server featuring 16 shared vCPUs on an AMD EPYC 7542 processor running at 2.0 GHz. It is configured with 384.0 GB of RAM, providing 24.0 GB per core, and includes a 600 GB local SSD. Benchmark data shows a performance tradeoff: single-core CPU performance is poor, falling in the bottom 10%, whereas multi-core CPU performance, memory bandwidth, and database operations reside in the average tier. The server is qualitatively cost-efficient for memory-dense workloads that do not require dedicated or high-frequency single-core execution. It is best suited for in-memory databases, caching layers, and memory-intensive data processing workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.9Score
      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) 1,517,668 ops/sec 1,918,343 ops/sec 0.79 50.00% 50.00% -11.00%
      Redis RPS (pipeline=16, SET) 11,933,916 ops/sec 11,704,734 ops/sec 1 20.00% 20.00% 0.00%
      PassMark Memory Mark (composite) 2,260 2,416 0.96 10.00% 10.00% -0.41%
      Memory bandwidth (read, 16 MB ~ L3) 143,034 MB/sec 108,466 MB/sec 1.3 10.00% 10.00% +2.70%
      PassMark single-thread CPU 2,063 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,300

      Geekbench Multi-Core

      Score: 10,120

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      27,083
      Compression
      324,512
      Encryption
      17,946
      Extended Instructions
      27,400
      Floating Point Maths
      53,565
      Integer Maths
      73,430
      Physics
      4,073
      Prime Numbers
      250
      Single Threaded
      2,063
      String Sorting
      40,906

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,260
      Database Operations
      9,784
      Memory Latency
      78
      Memory Read Cached
      24,319
      Memory Read Uncached
      11,116
      Memory Write
      11,291

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      426.73 467.76 1.10×
      bitops
      234,598 3,567,431 15.21×
      branch
      180,424 2,776,307 15.39×
      funccall
      884.56 12,673 14.33×
      funcret
      26,723 415,441 15.55×
      hash
      219,242 3,280,568 14.96×
      intmath
      80,576 1,271,854 15.78×
      nop
      428,241 6,512,316 15.21×
      prime
      576,066 8,503,795 14.76×
      rotate
      142,549 2,201,088 15.44×
      str
      1,546,904 21,309,232 13.78×
      wcs
      1,004,051 13,951,927 13.90×
      CryptographySingleMultiScaling
      crypt
      5,265 79,460 15.09×
      CompressionSingleMultiScaling
      jpeg
      1,267 17,338 13.69×
      zlib
      92.1 1,112 12.07×
      HypervisorSingleMultiScaling
      clock
      84,380 266,927 3.16×
      clone
      537.99 5,891 10.95×
      context
      8,348 134,892 16.16×
      cpu-sched
      62.54 999.44 15.98×
      eventfd
      87,103 776,399 8.91×
      fault
      36,161 195,773 5.41×
      fork
      6,843 62,855 9.19×
      getrandom
      98,887 1,423,665 14.40×
      hrtimers
      284,397 2,022,096 7.11×
      mprotect
      754,036 7,245,917 9.61×
      mtx
      48,661,821 1,321,898,485 27.17×
      munmap
      4,743 53,430 11.27×
      null
      1,501,362 21,947,692 14.62×
      pipe
      688,102 11,623,580 16.89×
      priv-instr
      1,303,727 11,536,627 8.85×
      resched
      12,254,378 6,898,898 0.56×
      switch
      117,240 6,415,394 54.72×
      timermix
      342,776 5,104,365 14.89×
      tlb-shootdown
      24,584 135,920 5.53×
      tsc
      907,228 14,407,841 15.88×
      usersyscall
      1,071,427 10,375,982 9.68×
      vdso
      101,470,102 1,597,724,390 15.75×
      vfork
      44,039 219,785 4.99×
      x86syscall
      18,975,034 280,689,971 14.79×
      yield
      29,268,381 26,646,856 0.91×
      zero
      7,811,528 114,253,904 14.63×
      CPU float/SIMDSingleMultiScaling
      eigen
      18,124 271,136 14.96×
      expmath
      3,936 58,992 14.99×
      fma
      1,573,042 23,453,384 14.91×
      fp
      214.35 3,214 14.99×
      fractal
      9 133.81 14.87×
      hyperbolic
      5,517 82,637 14.98×
      logmath
      5,707 87,617 15.35×
      matrix
      9,040 116,393 12.88×
      matrix-3d
      526.14 8,075 15.35×
      monte-carlo
      441.87 6,441 14.58×
      mpfr
      2,413 33,754 13.99×
      powmath
      1,858 27,499 14.80×
      trig
      2,431 29,982 12.33×
      veccmp
      29,105 450,844 15.49×
      vecfp
      2,567 39,419 15.35×
      vecmath
      4,788 70,974 14.82×
      vecshuf
      997.06 15,063 15.11×
      vecwide
      41,221 593,323 14.39×
      AlgorithmsSingleMultiScaling
      bitonicsort
      12.4 181.8 14.66×
      bsearch
      371.53 5,544 14.92×
      bubblesort
      1.4 20.4 14.57×
      fibsearch
      429.34 5,579 12.99×
      heapsort
      14.4 212.99 14.79×
      hsearch
      12,701 189,175 14.89×
      insertionsort
      15 212.4 14.16×
      malloc
      3,659,608 32,429,587 8.86×
      mcontend
      134.21 2,582 19.24×
      mergesort
      36.4 567.39 15.59×
      qsort
      26.4 390.99 14.81×
      skiplist
      8,129 125,770 15.47×
      tree
      2.2 25.79 11.72×
      MemorySingleMultiScaling
      cache
      1,218,709 1,583,345 1.30×
      cachehammer
      250,812 3,886,709 15.50×
      cacheline
      62.75 978.09 15.59×
      l1cache
      666.87 9,851 14.77×
      memcpy
      750.84 10,122 13.48×
      memrate
      0.99 11.44 11.56×
      memthrash
      221.82 952.14 4.29×
      ptr-chase
      8,188,913 116,195,194 14.19×
      spinmem
      419.58 1,553 3.70×
      stream
      384.54 22,836 59.39×
      vm
      243,974 293,768 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

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      HIMEM-16xCPU-384GB FAQs