CLOUDNATIVE-16xCPU-96GB by UpCloud

CLOUDNATIVE-16xCPU-96GB is a Cloud Native (16 vCPUs, 96 GiB RAM) server offered by UpCloud with 16 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.5866 USD per hour.
16 vCPU
96 GiB Memory
Spare SCore
12,410
(All-cores)
779
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
CLOUDNATIVE-16xCPU-96GB
Description
Cloud Native (16 vCPUs, 96 GiB RAM)
Family
Cloud Native
Hw Virt
Average Time To Start
123
Status
active
Observed At
2026-09-13T08:12:00.700593

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.5866 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.5866 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.5866 USD/h
Madrid #1 (ES) / es-mad1
- 0.5866 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.5866 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.5866 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.5866 USD/h
Stavanger #1 (NO) / no-svg1
- 0.5866 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.5866 USD/h
Stockholm #1 (SE) / se-sto1
- 0.5866 USD/h
Singapore #1 (SG) / sg-sin1
- 0.5866 USD/h
London #1 (GB) / uk-lon1
- 0.5866 USD/h
Chicago #1 (US) / us-chi1
- 0.5866 USD/h
New York #1 (US) / us-nyc1
- 0.5866 USD/h
San Jose #1 (US) / us-sjo1
- 0.5866 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
7542
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, 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
15.9
Scalability
99.38

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      26624 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A shared-CPU virtual server combining high memory capacity and multi-core scalability for parallel workloads and budget-conscious deployments.

      General PurposeBurstable & Budget

      UpCloud CLOUDNATIVE-16xCPU-96GB is an x86_64 virtual server featuring 16 shared AMD EPYC 7542 vCPUs and 96.0 GB of RAM. Operating on the KVM hypervisor, this server lacks local storage and GPU accelerators but includes one public IPv4 address. Performance benchmarks indicate a clear tradeoff: single-core capabilities are limited, with stress-ng single-core scores in the bottom 10%, whereas multi-core and text-processing performance reach average to strong levels, highlighted by a Geekbench multi-core score of 13359.0 and strong text processing. Memory bandwidth remains stable, with large-block reads averaging 48.36 GB/sec. This resource profile is suited for multi-threaded workloads, static web serving, and software compilation where shared CPU resources are acceptable, offering a cost-effective balance of high memory capacity and core count for non-critical or horizontally scaled applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.857Score
      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) 1,597,794 ops/sec 1,917,397 ops/sec 0.833 50.00% 50.00% -8.73%
      Redis RPS (pipeline=16, SET) 12,182,972 ops/sec 11,681,410 ops/sec 1.04 20.00% 20.00% +0.79%
      PassMark Memory Mark (composite) 2,362 2,418 0.977 10.00% 10.00% -0.23%
      Memory bandwidth (read, 16 MB ~ L3) 58,684 MB/sec 108,140 MB/sec 0.543 10.00% 10.00% -5.92%
      PassMark single-thread CPU 2,174 Mops/s 2,365 Mops/s 0.919 10.00% 10.00% -0.84%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,864

      Geekbench Multi-Core

      Score: 13,359

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28289
      Compression
      		 335486
      Encryption
      		 18598
      Extended Instructions
      		 28859
      Floating Point Maths
      		 55551
      Integer Maths
      		 76146
      Physics
      		 4012
      Prime Numbers
      		 244
      Single Threaded
      		 2174
      String Sorting
      		 44977

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2362
      Database Operations
      		 9717
      Memory Latency
      		 65
      Memory Read Cached
      		 25112
      Memory Read Uncached
      		 10632
      Memory Write
      		 10438

      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-16xCPU-96GB FAQs