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 0.0481 USD per hour.
4 vCPU
16 GiB Memory
50 GB Storage
Spare SCore
14,316
(All-cores)
3,401
(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
146.83
Status
active
Observed At
2026-09-15T18:07:37.275045

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 0.0481 USD/h
Frankfurt #1 (DE) / de-fra1
- 0.0481 USD/h
Copenhagen #1 (DK) / dk-cph1
- 0.0481 USD/h
Madrid #1 (ES) / es-mad1
- 0.0481 USD/h
Helsinki #1 (FI) / fi-hel1
- 0.0481 USD/h
Helsinki #2 (FI) / fi-hel2
- 0.0481 USD/h
Amsterdam #1 (NL) / nl-ams1
- 0.0481 USD/h
Stavanger #1 (NO) / no-svg1
- 0.0481 USD/h
Warsaw #1 (PL) / pl-waw1
- 0.0481 USD/h
Stockholm #1 (SE) / se-sto1
- 0.0481 USD/h
Singapore #1 (SG) / sg-sin1
- 0.0481 USD/h
London #1 (GB) / uk-lon1
- 0.0481 USD/h
Chicago #1 (US) / us-chi1
- 0.0481 USD/h
New York #1 (US) / us-nyc1
- 0.0481 USD/h
San Jose #1 (US) / us-sjo1
- 0.0481 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 general-purpose virtual server featuring shared AMD EPYC processors, balanced memory, and local SSD storage for entry-level workloads.

      General PurposeBurstable & Budget

      UpCloud STARTER-4xCPU-16GB is an x86_64 general-purpose virtual server utilizing the KVM hypervisor. Powered by an AMD EPYC 9575F processor running at 2.0 GHz, it provides 4 vCPUs with shared CPU allocation, 16.0 GB of RAM, and 50 GB of local SSD storage. Benchmark results show top-tier single-core CPU performance and single-threaded gzip compression, though multi-core benchmarks and memory performance remain average to weak. This resource profile makes the instance a cost-effective option for workloads with variable CPU demands. It is best suited for general-purpose applications, static web serving, and lightweight database operations, while its shared CPU allocation and lower memory performance make it less optimal for sustained high-performance computing or memory-bound tasks.

      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 1,917,397 ops/sec 0.479 50.00% 50.00% -30.80%
      Redis RPS (pipeline=16, SET) 4,937,292 ops/sec 11,681,410 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 108,140 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: 1,827

      Geekbench Multi-Core

      Score: 5,634

      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