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voc-m-24c-192gb-1200s-amd by Vultr

voc-m-24c-192gb-1200s-amd is a Optimized Cloud Compute (24 vCPUs, 192.0 GiB RAM, 1200 GB NVMe) server offered by Vultr with 24 vCPUs, 192 GiB of memory and 1.2 TB of storage. The pricing starts at 1.315 USD per hour.
24 vCPU
192 GiB Memory
1.2 TB Storage
Spare SCore
67556
(All-cores)
2850
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-m-24c-192gb-1200s-amd
Description
Optimized Cloud Compute (24 vCPUs, 192.0 GiB RAM, 1200 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
46.67
Status
active
Observed At
2026-07-20T18:54:12.458419

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 1.315 USD/h
Bangalore (IN) / blr
- 1.315 USD/h
Mumbai (IN) / bom
- 1.315 USD/h
Paris (FR) / cdg
- 1.315 USD/h
Dallas (US) / dfw
- 1.315 USD/h
New Jersey (US) / ewr
- 1.315 USD/h
Frankfurt (DE) / fra
- 1.315 USD/h
Honolulu (US) / hnl
- 1.315 USD/h
Seoul (KR) / icn
- 1.315 USD/h
Osaka (JP) / itm
- 1.315 USD/h
Johannesburg (ZA) / jnb
- 1.315 USD/h
Los Angeles (US) / lax
- 1.315 USD/h
London (GB) / lhr
- 1.315 USD/h
Madrid (ES) / mad
- 1.315 USD/h
Manchester (GB) / man
- 1.315 USD/h
Melbourne (AU) / mel
- 1.315 USD/h
Mexico City (MX) / mex
- 1.315 USD/h
Miami (US) / mia
- 1.315 USD/h
Tokyo (JP) / nrt
- 1.315 USD/h
Chicago (US) / ord
- 1.315 USD/h
Santiago (CL) / scl
- 1.315 USD/h
Singapore (SG) / sgp
- 1.315 USD/h
Silicon Valley (US) / sjc
- 1.315 USD/h
Stockholm (SE) / sto
- 1.315 USD/h
Sydney (AU) / syd
- 1.315 USD/h
Tel Aviv (IL) / tlv
- 1.315 USD/h
Warsaw (PL) / waw
- 1.315 USD/h
Toronto (CA) / yto
- 1.315 USD/h

Processor

vCPUs
24
CPU Allocation
Shared
CPU Cores
12
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
6 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
32 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, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, perfctr_core, ssbd, ibpb, stibp, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, clflushopt, clwb, sha_ni, xsaveopt, clzero, xsaveerptr, wbnoinvd, arat, umip, rdpid
Ecpus
23.7
Scalability
197.5

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    1200 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      11264 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring AMD EPYC processors and high-speed NVMe storage for data-intensive workloads.

      Memory OptimizedStorage & DatabaseGeneral Purpose

      The Vultr voc-m-24c-192gb-1200s-amd is an Optimized Cloud Compute server powered by an AMD EPYC processor with 24 vCPUs and 12 physical cores on the x86_64 architecture. It features a high memory-to-vCPU ratio with 192.0 GB of RAM (8.0 GB per core) and includes a 1200 GB NVMe SSD for local storage. Operating with a shared CPU allocation at 2.0 GHz, the server delivers strong performance in stress-ng single-core and multi-core benchmarks, placing in the top 25%. Memory bandwidth and database operations perform in the average tier, with Redis SET operations reaching 42.05 million operations per second. This configuration offers a cost-effective balance of high memory density and local storage, making it suitable for memory-optimized workloads, database hosting, caching layers, and moderate data processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.3Score
      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) 2,005,953 ops/sec 1,895,870 ops/sec 1.06 50.00% 50.00% +2.96%
      Redis RPS (pipeline=16, SET) 19,600,388 ops/sec 11,503,938 ops/sec 1.7 20.00% 20.00% +11.20%
      PassMark Memory Mark (composite) 2,751 2,410 1.14 10.00% 10.00% +1.32%
      Memory bandwidth (read, 16 MB ~ L3) 324,431 MB/sec 107,331 MB/sec 3.02 10.00% 10.00% +11.70%
      PassMark single-thread CPU 2,526 Mops/s 2,363 Mops/s 1.07 10.00% 10.00% +0.68%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      43837
      Compression
      549001
      Encryption
      28391
      Extended Instructions
      43758
      Floating Point Maths
      105500
      Integer Maths
      132438
      Physics
      7022
      Prime Numbers
      391
      Single Threaded
      2526
      String Sorting
      76131

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2751
      Database Operations
      10447
      Memory Latency
      65
      Memory Read Cached
      25016
      Memory Read Uncached
      15550
      Memory Write
      15549

      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

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      INSTANCEVENDORvCPUsMEMORYGPUs

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