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voc-m-32c-256gb-1600s-amd by Vultr

voc-m-32c-256gb-1600s-amd is a Optimized Cloud Compute (32 vCPUs, 256.0 GiB RAM, 1600 GB NVMe) server offered by Vultr with 32 vCPUs, 256 GiB of memory and 1.6 TB of storage. The pricing starts at 1.753 USD per hour.
32 vCPU
256 GiB Memory
1.6 TB Storage
Spare SCore
99822
(All-cores)
3113
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-m-32c-256gb-1600s-amd
Description
Optimized Cloud Compute (32 vCPUs, 256.0 GiB RAM, 1600 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
62.33
Status
active
Observed At
2026-07-20T16:35:16.793265

Availability

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

Processor

vCPUs
32
CPU Allocation
Shared
CPU Cores
16
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
64 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, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, perfctr_core, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, clflushopt, clwb, sha_ni, xsaveopt, xsaves, clzero, xsaveerptr, wbnoinvd, arat, umip, pku, ospke, rdpid, fsrm
Ecpus
32.1
Scalability
200.62

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    1600 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      12288 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized shared instance featuring AMD EPYC processors and local NVMe storage for data-intensive workloads.

      Memory OptimizedStorage & Database

      Vultr voc-m-32c-256gb-1600s-amd is an Optimized Cloud Compute server configured with an AMD EPYC x86_64 processor, offering 32 shared vCPUs across 16 physical cores, 256.0 GB of system memory, and 1600 GB of local NVMe SSD storage. In benchmark evaluations, the instance demonstrates top-tier single-core CPU performance and strong multi-core capabilities, though its memory bandwidth and single-threaded gzip compression remain average to weak. The shared CPU allocation provides a cost-efficient option for memory-heavy workloads that do not demand dedicated compute cores. This hardware profile is suited for database hosting, caching layers, and memory-intensive applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.35Score
      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) 2,246,240 ops/sec 1,895,870 ops/sec 1.18 50.00% 50.00% +8.63%
      Redis RPS (pipeline=16, SET) 21,401,448 ops/sec 11,503,938 ops/sec 1.86 20.00% 20.00% +13.20%
      PassMark Memory Mark (composite) 2,233 2,410 0.926 10.00% 10.00% -0.77%
      Memory bandwidth (read, 16 MB ~ L3) 310,488 MB/sec 107,331 MB/sec 2.89 10.00% 10.00% +11.20%
      PassMark single-thread CPU 2,201 Mops/s 2,363 Mops/s 0.931 10.00% 10.00% -0.71%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		46933
      Compression
      		636135
      Encryption
      		33206
      Extended Instructions
      		50366
      Floating Point Maths
      		123329
      Integer Maths
      		154201
      Physics
      		7743
      Prime Numbers
      		423
      Single Threaded
      		2201
      String Sorting
      		85810

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2233
      Database Operations
      		11066
      Memory Latency
      		81
      Memory Read Cached
      		20634
      Memory Read Uncached
      		12477
      Memory Write
      		12930

      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
      voc-c-1c-2gb-25s-amd 12 GiB0
      voc-g-1c-4gb-30s-amd 14 GiB0
      voc-m-1c-8gb-50s-amd 18 GiB0
      voc-s-1c-8gb-150s-amd 18 GiB0
      voc-c-2c-4gb-50s-amd 24 GiB0
      voc-c-2c-4gb-75s-amd 24 GiB0
      voc-g-2c-8gb-50s-amd 28 GiB0

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      voc-m-32c-256gb-1600s-amd FAQs