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HIMEM-4xCPU-64GB by UpCloud

HIMEM-4xCPU-64GB is a High Memory (4 vCPUs, 64 GiB RAM) server offered by UpCloud with 4 vCPUs, 64 GiB of memory and 200 GB of storage. The pricing starts at 0.4444 USD per hour.
4 vCPU
64 GiB Memory
200 GB Storage
Spare SCore
3129
(All-cores)
787
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
HIMEM-4xCPU-64GB
Description
High Memory (4 vCPUs, 64 GiB RAM)
Family
High Memory
Hw Virt
Status
active
Observed At
2026-07-31T15:52:42.261516

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.4444 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.4444 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.4444 USD/h
Madrid #1 (ES) / es-mad1
- 0.4444 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.4444 USD/h
Stavanger #1 (NO) / no-svg1
- 0.4444 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.4444 USD/h
Stockholm #1 (SE) / se-sto1
- 0.4444 USD/h
Singapore #1 (SG) / sg-sin1
- 0.4444 USD/h
London #1 (GB) / uk-lon1
- 0.4444 USD/h
Chicago #1 (US) / us-chi1
- 0.4444 USD/h
New York #1 (US) / us-nyc1
- 0.4444 USD/h
San Jose #1 (US) / us-sjo1
- 0.4444 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.5811 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.5811 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
64 GiB
Memory Amount Actual
64 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    200 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 high-memory virtual server featuring sixty-four gigabytes of RAM and local SSD storage for memory-bound workloads.

      Memory OptimizedGeneral Purpose

      UpCloud HIMEM-4xCPU-64GB is a KVM-based virtual server designed for memory-intensive workloads. It features 4 shared vCPUs powered by an AMD EPYC 7542 processor running at 2.0 GHz, paired with 64.0 GB of RAM and a local 200 GB SSD. The server offers a high memory-to-core ratio of 16.0 GB per core. Benchmark data reveals a performance profile characterized by average cached memory read bandwidth of 408.34 GB/sec and average single-core Geekbench scores, contrasted with weak multi-core CPU performance and poor uncached memory bandwidth. This hardware configuration is qualitatively cost-efficient for memory-heavy applications that require a large memory footprint without demanding high CPU compute density. It is best suited for caching systems, lightweight databases, and memory-bound text processing tasks, while being less optimal for CPU-intensive operations like software compilation or complex LLM inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.278Score
      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) 397,417 ops/sec 1,896,415 ops/sec 0.21 50.00% 50.00% -54.20%
      Redis RPS (pipeline=16, SET) 3,141,726 ops/sec 11,539,523 ops/sec 0.272 20.00% 20.00% -22.90%
      PassMark Memory Mark (composite) 1,372 2,411 0.569 10.00% 10.00% -5.48%
      Memory bandwidth (read, 16 MB ~ L3) 18,870 MB/sec 107,368 MB/sec 0.176 10.00% 10.00% -15.90%
      PassMark single-thread CPU 2,164 Mops/s 2,363 Mops/s 0.916 10.00% 10.00% -0.87%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,248

      Geekbench Multi-Core

      Score: 3,796

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7646
      Compression
      		 84194
      Encryption
      		 4643
      Extended Instructions
      		 7117
      Floating Point Maths
      		 13515
      Integer Maths
      		 18390
      Physics
      		 964
      Prime Numbers
      		 22
      Single Threaded
      		 2164
      String Sorting
      		 11317

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1372
      Database Operations
      		 2150
      Memory Latency
      		 139
      Memory Read Cached
      		 25307
      Memory Read Uncached
      		 7796
      Memory Write
      		 7533

      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

      INSTANCEvCPUsMEMORYGPUs
      HIMEM-2xCPU-8GB 28 GiB0
      HIMEM-2xCPU-16GB 216 GiB0
      HIMEM-4xCPU-32GB 432 GiB0
      HIMEM-6xCPU-128GB 6128 GiB0
      HIMEM-8xCPU-192GB 8192 GiB0
      HIMEM-12xCPU-256GB 12256 GiB0
      HIMEM-16xCPU-384GB 16384 GiB0

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      HIMEM-4xCPU-64GB FAQs