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CLOUDNATIVE-16xCPU-128GB by UpCloud

CLOUDNATIVE-16xCPU-128GB is a Cloud Native (16 vCPUs, 128 GiB RAM) server offered by UpCloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.6271 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
59283
(All-cores)
3860
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-16xCPU-128GB
Description
Cloud Native (16 vCPUs, 128 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
120
Status
active
Observed At
2026-07-27T12:11:26.380430

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.6271 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.6271 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.6271 USD/h
Madrid #1 (ES) / es-mad1
- 0.6271 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.6271 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.6271 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.6271 USD/h
Stavanger #1 (NO) / no-svg1
- 0.6271 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.6271 USD/h
Stockholm #1 (SE) / se-sto1
- 0.6271 USD/h
Singapore #1 (SG) / sg-sin1
- 0.6271 USD/h
London #1 (GB) / uk-lon1
- 0.6271 USD/h
Chicago #1 (US) / us-chi1
- 0.6271 USD/h
New York #1 (US) / us-nyc1
- 0.6271 USD/h
San Jose #1 (US) / us-sjo1
- 0.6271 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
9575F
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, pcid, 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, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, movdiri, movdir64b, avx512_vp2intersect, arch_capabilities
Ecpus
15.4
Scalability
96.25

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      35840 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A high-density memory configuration with shared AMD EPYC cores, delivering top-tier single-threaded performance for memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      The UpCloud CLOUDNATIVE-16xCPU-128GB is an x86_64 virtual server built on the KVM hypervisor, featuring 16 vCPUs and 128.0 GB of RAM. Powered by an AMD EPYC 9575F processor at 2.0 GHz with a shared CPU allocation, it provides a high memory-to-core ratio of 8.0 GB per core. While single-core benchmarks like stress-ng and gzip compression reach top-tier performance, the shared CPU model limits multi-core scaling to average levels. The server lacks local storage and GPU accelerators, but offers strong large-block memory read bandwidth. It represents a cost-effective option for memory-heavy workloads, making it suitable for in-memory databases, caching systems, and lightweight language model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.55Score
      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) 3,544,857 ops/sec 1,896,415 ops/sec 1.87 50.00% 50.00% +36.70%
      Redis RPS (pipeline=16, SET) 17,339,162 ops/sec 11,539,523 ops/sec 1.5 20.00% 20.00% +8.45%
      PassMark Memory Mark (composite) 1,996 2,411 0.828 10.00% 10.00% -1.87%
      Memory bandwidth (read, 16 MB ~ L3) 162,344 MB/sec 107,368 MB/sec 1.51 10.00% 10.00% +4.21%
      PassMark single-thread CPU 2,939 Mops/s 2,363 Mops/s 1.24 10.00% 10.00% +2.17%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,153

      Geekbench Multi-Core

      Score: 8,016

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 35025
      Compression
      		 381245
      Encryption
      		 21076
      Extended Instructions
      		 32580
      Floating Point Maths
      		 98929
      Integer Maths
      		 103793
      Physics
      		 3621
      Prime Numbers
      		 207
      Single Threaded
      		 2939
      String Sorting
      		 49667

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1996
      Database Operations
      		 11936
      Memory Latency
      		 120
      Memory Read Cached
      		 29144
      Memory Read Uncached
      		 19629
      Memory Write
      		 20884

      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
      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-16xCPU-128GB FAQs