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STARTER-4xCPU-16GB by UpCloud

STARTER-4xCPU-16GB is a Starter (4 vCPUs, 16 GiB RAM) server offered by UpCloud with 4 vCPUs, 16 GiB of memory and 50 GB of storage. The pricing starts at 0.0486 USD per hour.
4 vCPU
16 GiB Memory
50 GB Storage
Spare SCore
14316
(All-cores)
3401
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
STARTER-4xCPU-16GB
Description
Starter (4 vCPUs, 16 GiB RAM)
Family
Starter
Hw Virt
Average Time To Start
153.8
Status
active
Observed At
2026-08-30T07:16:57.830430

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.0486 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.0486 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.0486 USD/h
Madrid #1 (ES) / es-mad1
- 0.0486 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.0486 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.0486 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.0486 USD/h
Stavanger #1 (NO) / no-svg1
- 0.0486 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.0486 USD/h
Stockholm #1 (SE) / se-sto1
- 0.0486 USD/h
Singapore #1 (SG) / sg-sin1
- 0.0486 USD/h
London #1 (GB) / uk-lon1
- 0.0486 USD/h
Chicago #1 (US) / us-chi1
- 0.0486 USD/h
New York #1 (US) / us-nyc1
- 0.0486 USD/h
San Jose #1 (US) / us-sjo1
- 0.0486 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
4
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
256 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
2 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
4.2
Scalability
105

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    50 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      2560 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly virtual server combining top-tier single-core AMD EPYC performance with balanced memory and local SSD storage for general-purpose workloads.

      General PurposeBurstable & Budget

      The UpCloud STARTER-4xCPU-16GB is a KVM-based virtual server featuring an x86_64 AMD EPYC 9575F processor with 4 shared vCPUs and 16.0 GB of RAM. It includes 50 GB of local SSD storage and one public IPv4 address. Performance benchmarks highlight top-tier single-core capabilities, with Geekbench single-core and stress-ng single-core scores ranking in the top 10%. Conversely, multi-core benchmarks and memory performance align with average and lower-tier distributions, reflecting its shared CPU allocation model. This server offers a cost-efficient entry point for resource-dense workloads, making it suitable for general-purpose applications, static web serving, text processing, and lightweight database operations where sustained maximum CPU performance is not critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.58Score
      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) 918,443 ops/sec 1,917,050 ops/sec 0.479 50.00% 50.00% -30.80%
      Redis RPS (pipeline=16, SET) 4,937,292 ops/sec 11,661,818 ops/sec 0.423 20.00% 20.00% -15.80%
      PassMark Memory Mark (composite) 1,330 2,418 0.55 10.00% 10.00% -5.80%
      Memory bandwidth (read, 16 MB ~ L3) 165,537 MB/sec 108,131 MB/sec 1.53 10.00% 10.00% +4.34%
      PassMark single-thread CPU 2,684 Mops/s 2,365 Mops/s 1.13 10.00% 10.00% +1.23%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,403

      Geekbench Multi-Core

      Score: 7,033

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10193
      Compression
      		 95616
      Encryption
      		 5877
      Extended Instructions
      		 9843
      Floating Point Maths
      		 24064
      Integer Maths
      		 24955
      Physics
      		 899
      Prime Numbers
      		 55
      Single Threaded
      		 2684
      String Sorting
      		 12258

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1330
      Database Operations
      		 3650
      Memory Latency
      		 181
      Memory Read Cached
      		 27596
      Memory Read Uncached
      		 21120
      Memory Write
      		 21863

      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
      STARTER-1xCPU-1GB 11 GiB0
      STARTER-1xCPU-2GB 12 GiB0
      STARTER-1xCPU-4GB 14 GiB0
      STARTER-2xCPU-2GB 22 GiB0
      STARTER-2xCPU-4GB 24 GiB0
      STARTER-2xCPU-8GB 28 GiB0
      STARTER-2xCPU-16GB 216 GiB0

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      STARTER-4xCPU-16GB FAQs