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24xCPU-96GB by UpCloud

24xCPU-96GB is a General Purpose (24 vCPUs, 96 GiB RAM) server offered by UpCloud with 24 vCPUs, 96 GiB of memory and 1.92 TB of storage. The pricing starts at 1.0569 USD per hour.
24 vCPU
96 GiB Memory
1.92 TB Storage
Spare SCore
73962
(All-cores)
3749
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
24xCPU-96GB
Description
General Purpose (24 vCPUs, 96 GiB RAM)
Family
General Purpose
Hw Virt
Average Time To Start
144
Status
active
Observed At
2026-07-21T22:48:39.124199

Availability

REGION / IDSPOTONDEMAND
Sydney #1 (AU) / au-syd1
- 1.0569 USD/h
Frankfurt #1 (DE) / de-fra1
- 1.0569 USD/h
Copenhagen #1 (DK) / dk-cph1
- 1.0569 USD/h
Madrid #1 (ES) / es-mad1
- 1.0569 USD/h
Amsterdam #1 (NL) / nl-ams1
- 1.0569 USD/h
Stavanger #1 (NO) / no-svg1
- 1.0569 USD/h
Warsaw #1 (PL) / pl-waw1
- 1.0569 USD/h
Stockholm #1 (SE) / se-sto1
- 1.0569 USD/h
Singapore #1 (SG) / sg-sin1
- 1.0569 USD/h
London #1 (GB) / uk-lon1
- 1.0569 USD/h
Chicago #1 (US) / us-chi1
- 1.0569 USD/h
New York #1 (US) / us-nyc1
- 1.0569 USD/h
San Jose #1 (US) / us-sjo1
- 1.0569 USD/h
Helsinki #1 (FI) / fi-hel1
- 1.2233 USD/h
Helsinki #2 (FI) / fi-hel2
- 1.2233 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
24
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
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
12 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
19.7
Scalability
82.08

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
    1920 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      12288 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A balanced general-purpose server combining 24 AMD EPYC vCPUs, 96 GB RAM, and a high-capacity 1920 GB local SSD.

      General PurposeStorage & Database

      UpCloud 24xCPU-96GB is a general-purpose server featuring 24 x86_64 vCPUs powered by an AMD EPYC 9575F processor at 2.0 GHz, paired with 96.0 GB of RAM and a 1920 GB local SSD. Operating on the KVM hypervisor with shared CPU allocation, it delivers top-tier single-core performance, ranking in the top 10% for stress-ng single-core and single-threaded decompression benchmarks. Multi-core capabilities and small-block memory bandwidth are strong, placing in the top 25%, while overall Geekbench, Passmark, and database operation benchmarks align with the average tier. This resource profile offers high storage capacity and balanced memory density, making it suitable for static web serving, database management, and small-model LLM inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.1Score
      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) 5,093,668 ops/sec 1,896,415 ops/sec 2.69 50.00% 50.00% +64.00%
      Redis RPS (pipeline=16, SET) 26,450,045 ops/sec 11,539,523 ops/sec 2.29 20.00% 20.00% +18.00%
      PassMark Memory Mark (composite) 1,832 2,411 0.76 10.00% 10.00% -2.71%
      Memory bandwidth (read, 16 MB ~ L3) 224,274 MB/sec 107,368 MB/sec 2.09 10.00% 10.00% +7.65%
      PassMark single-thread CPU 3,333 Mops/s 2,363 Mops/s 1.41 10.00% 10.00% +3.50%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,341

      Geekbench Multi-Core

      Score: 10,967

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      48892
      Compression
      569789
      Encryption
      29902
      Extended Instructions
      48791
      Floating Point Maths
      134848
      Integer Maths
      161675
      Physics
      4587
      Prime Numbers
      307
      Single Threaded
      3333
      String Sorting
      72404

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1832
      Database Operations
      16067
      Memory Latency
      135
      Memory Read Cached
      27305
      Memory Read Uncached
      22127
      Memory Write
      20716

      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
      1xCPU-1GB 11 GiB0
      1xCPU-2GB 12 GiB0
      2xCPU-2GB 22 GiB0
      2xCPU-4GB 24 GiB0
      4xCPU-8GB 48 GiB0
      6xCPU-16GB 616 GiB0
      8xCPU-32GB 832 GiB0

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      24xCPU-96GB FAQs