CLOUDNATIVE-32xCPU-192GB by UpCloud

CLOUDNATIVE-32xCPU-192GB is a Cloud Native (32 vCPUs, 192 GiB RAM) server offered by UpCloud with 32 vCPUs, 192 GiB of memory and 0 GB of storage. The pricing starts at 1.1377 USD per hour.
32 vCPU
192 GiB Memory
Spare SCore
20,759
(All-cores)
750
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-32xCPU-192GB
Description
Cloud Native (32 vCPUs, 192 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
119
Status
active
Observed At
2026-09-23T13:46:04.777388Z

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 1.1377 USD/h
Frankfurt #1 (DE) / de-fra1
- 1.1377 USD/h
Copenhagen #1 (DK) / dk-cph1
- 1.1377 USD/h
Madrid #1 (ES) / es-mad1
- 1.1377 USD/h
Helsinki #1 (FI) / fi-hel1
- 1.1377 USD/h
Helsinki #2 (FI) / fi-hel2
- 1.1377 USD/h
Amsterdam #1 (NL) / nl-ams1
- 1.1377 USD/h
Stavanger #1 (NO) / no-svg1
- 1.1377 USD/h
Warsaw #1 (PL) / pl-waw1
- 1.1377 USD/h
Stockholm #1 (SE) / se-sto1
- 1.1377 USD/h
Singapore #1 (SG) / sg-sin1
- 1.1377 USD/h
London #1 (GB) / uk-lon1
- 1.1377 USD/h
Chicago #1 (US) / us-chi1
- 1.1377 USD/h
New York #1 (US) / us-nyc1
- 1.1377 USD/h
San Jose #1 (US) / us-sjo1
- 1.1377 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
27.7
Scalability
86.56

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 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
      51200 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A high-memory virtual server featuring thirty-two shared cores, delivering strong multi-threaded performance for parallelized, memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      The UpCloud CLOUDNATIVE-32xCPU-192GB is an x86_64 virtual server built on the KVM hypervisor, featuring 32 shared AMD EPYC 7542 vCPUs running at 2.0 GHz and 192.0 GB of RAM. Lacking local storage and dedicated GPUs, it relies on external storage configurations. Performance benchmarks reveal a distinct contrast: single-core metrics, such as stress-ng single-core CPU performance, fall into the bottom 10%, whereas multi-core and multi-threaded benchmarks, including Geekbench multi-core and bzip3 multi-threaded decompression, rank in the top 25%. Memory bandwidth, Redis SET operations, and database performance remain average. This resource profile offers a cost-efficient option for memory-heavy, highly parallelized workloads. It is well-suited for multi-threaded applications, software compilation, and cached database operations that can leverage its substantial memory capacity and parallel processing capabilities without requiring dedicated, high-frequency single-core execution.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.32Score
      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) 2,683,141 ops/sec 1,919,696 ops/sec 1.4 50.00% 50.00% +18.30%
      Redis RPS (pipeline=16, SET) 20,748,000 ops/sec 11,736,081 ops/sec 1.77 20.00% 20.00% +12.10%
      PassMark Memory Mark (composite) 2,064 2,418 0.854 10.00% 10.00% -1.57%
      Memory bandwidth (read, 16 MB ~ L3) 140,219 MB/sec 108,260 MB/sec 1.3 10.00% 10.00% +2.66%
      PassMark single-thread CPU 2,045 Mops/s 2,365 Mops/s 0.865 10.00% 10.00% -1.44%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,035

      Geekbench Multi-Core

      Score: 18,078

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      43321
      Compression
      605654
      Encryption
      34702
      Extended Instructions
      47522
      Floating Point Maths
      99207
      Integer Maths
      141378
      Physics
      5693
      Prime Numbers
      360
      Single Threaded
      2045
      String Sorting
      80906

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2064
      Database Operations
      16419
      Memory Latency
      81
      Memory Read Cached
      23177
      Memory Read Uncached
      8870
      Memory Write
      8894

      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

      Similar Servers

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      CLOUDNATIVE-32xCPU-192GB FAQs