CLOUDNATIVE-12xCPU-24GB by UpCloud

CLOUDNATIVE-12xCPU-24GB is a Cloud Native (12 vCPUs, 24 GiB RAM) server offered by UpCloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.1545 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
9,387
(All-cores)
785
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-12xCPU-24GB
Description
Cloud Native (12 vCPUs, 24 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
114
Status
active
Observed At
2026-09-16T09:59:10.142142

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.1545 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.1545 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.1545 USD/h
Madrid #1 (ES) / es-mad1
- 0.1545 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.1545 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.1545 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.1545 USD/h
Stavanger #1 (NO) / no-svg1
- 0.1545 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.1545 USD/h
Stockholm #1 (SE) / se-sto1
- 0.1545 USD/h
Singapore #1 (SG) / sg-sin1
- 0.1545 USD/h
London #1 (GB) / uk-lon1
- 0.1545 USD/h
Chicago #1 (US) / us-chi1
- 0.1545 USD/h
New York #1 (US) / us-nyc1
- 0.1545 USD/h
San Jose #1 (US) / us-sjo1
- 0.1545 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
12
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
768 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
6 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
12
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
24 GiB
Memory Amount Actual
24 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
      8192 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly, multi-core virtual server featuring twelve shared AMD EPYC vCPUs and twenty-four gigabytes of RAM for parallelized workloads.

      Burstable & BudgetCompute Optimized

      The UpCloud CLOUDNATIVE-12xCPU-24GB is an x86_64 virtual server built on the KVM hypervisor, featuring 12 shared AMD EPYC 7542 vCPUs operating at 2.0 GHz and 24.0 GB of RAM. Lacking local storage and GPU accelerators, this instance relies on network-attached storage. While single-core benchmarks place the server in the bottom 10% due to its shared CPU allocation, its multi-core performance is average, as demonstrated by a Geekbench multi-core score of 11354.0 and a Passmark CPU score of 22472.2. Memory bandwidth remains stable at 60.68 GB/sec for large-block reads. This configuration represents a budget-friendly option for highly parallelized, non-latency-sensitive workloads. It is well-suited for software compilation, static web serving, and multi-threaded background processing, but is less effective for single-threaded tasks or intensive LLM text generation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.743Score
      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) 1,195,611 ops/sec 1,917,397 ops/sec 0.624 50.00% 50.00% -21.00%
      Redis RPS (pipeline=16, SET) 9,561,184 ops/sec 11,681,410 ops/sec 0.818 20.00% 20.00% -3.94%
      PassMark Memory Mark (composite) 2,195 2,418 0.908 10.00% 10.00% -0.96%
      Memory bandwidth (read, 16 MB ~ L3) 104,956 MB/sec 108,140 MB/sec 0.971 10.00% 10.00% -0.29%
      PassMark single-thread CPU 2,182 Mops/s 2,365 Mops/s 0.923 10.00% 10.00% -0.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,641

      Geekbench Multi-Core

      Score: 11,354

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 22472
      Compression
      		 254420
      Encryption
      		 13990
      Extended Instructions
      		 21912
      Floating Point Maths
      		 41861
      Integer Maths
      		 57473
      Physics
      		 3261
      Prime Numbers
      		 197
      Single Threaded
      		 2182
      String Sorting
      		 34378

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2195
      Database Operations
      		 7681
      Memory Latency
      		 66
      Memory Read Cached
      		 25312
      Memory Read Uncached
      		 9400
      Memory Write
      		 10077

      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-12xCPU-24GB FAQs