CLOUDNATIVE-32xCPU-64GB by UpCloud

CLOUDNATIVE-32xCPU-64GB is a Cloud Native (32 vCPUs, 64 GiB RAM) server offered by UpCloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.5168 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
19,912
(All-cores)
787
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-32xCPU-64GB
Description
Cloud Native (32 vCPUs, 64 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
123
Status
active
Observed At
2026-09-03T04:39:45.115080

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.5168 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.5168 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.5168 USD/h
Madrid #1 (ES) / es-mad1
- 0.5168 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.5168 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.5168 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.5168 USD/h
Stavanger #1 (NO) / no-svg1
- 0.5168 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.5168 USD/h
Stockholm #1 (SE) / se-sto1
- 0.5168 USD/h
Singapore #1 (SG) / sg-sin1
- 0.5168 USD/h
London #1 (GB) / uk-lon1
- 0.5168 USD/h
Chicago #1 (US) / us-chi1
- 0.5168 USD/h
New York #1 (US) / us-nyc1
- 0.5168 USD/h
San Jose #1 (US) / us-sjo1
- 0.5168 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
32
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
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
16 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
25.3
Scalability
79.06

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
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      25600 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A shared-core instance featuring thirty-two AMD EPYC vCPUs and sixty-four gigabytes of RAM for cost-efficient multi-threaded processing.

      Compute OptimizedBurstable & Budget

      UpCloud CLOUDNATIVE-32xCPU-64GB is a Cloud Native family instance utilizing the KVM hypervisor and x86_64 architecture. It is powered by an AMD EPYC 7542 processor running at 2.0 GHz, providing 32 shared vCPUs and 64.0 GB of RAM, which equates to 2.0 GB of memory per core. The instance does not include local storage or GPU accelerators but provides one public IPv4 address. Performance benchmarks reveal a contrast between poor single-core stress-ng performance and strong multi-core execution, particularly in Geekbench multi-core and multi-threaded bzip3 decompression. Cryptographic workloads benefit from hardware-supported AES and SHA-NI instructions, scoring in the top 25% on PassMark encryption tests. Due to its shared CPU allocation, this instance offers a cost-efficient profile for multi-threaded applications, text processing, and static web serving where dedicated CPU cores are not strictly required.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.33Score
      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) 3,109,088 ops/sec 1,917,397 ops/sec 1.62 50.00% 50.00% +27.30%
      Redis RPS (pipeline=16, SET) 23,598,534 ops/sec 11,681,410 ops/sec 2.02 20.00% 20.00% +15.10%
      PassMark Memory Mark (composite) 2,383 2,418 0.986 10.00% 10.00% -0.14%
      Memory bandwidth (read, 16 MB ~ L3) 45,524 MB/sec 108,140 MB/sec 0.421 10.00% 10.00% -8.29%
      PassMark single-thread CPU 2,179 Mops/s 2,365 Mops/s 0.921 10.00% 10.00% -0.82%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,082

      Geekbench Multi-Core

      Score: 17,101

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 45660
      Compression
      		 670659
      Encryption
      		 37135
      Extended Instructions
      		 50126
      Floating Point Maths
      		 105693
      Integer Maths
      		 142925
      Physics
      		 4855
      Prime Numbers
      		 432
      Single Threaded
      		 2179
      String Sorting
      		 82556

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2383
      Database Operations
      		 16802
      Memory Latency
      		 66
      Memory Read Cached
      		 22828
      Memory Read Uncached
      		 11549
      Memory Write
      		 11071

      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

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      CLOUDNATIVE-1xCPU-4GB 14 GiB0
      CLOUDNATIVE-1xCPU-8GB 18 GiB0
      CLOUDNATIVE-2xCPU-4GB 24 GiB0
      CLOUDNATIVE-2xCPU-8GB 28 GiB0
      CLOUDNATIVE-2xCPU-16GB 216 GiB0
      CLOUDNATIVE-4xCPU-8GB 48 GiB0
      CLOUDNATIVE-4xCPU-16GB 416 GiB0

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      CLOUDNATIVE-32xCPU-64GB FAQs