voc-m-2c-16gb-200s-amd by Vultr

2 vCPU
16 GiB Memory
200 GB Storage
Spare SCore
6,222
(All-cores)
3,135
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-m-2c-16gb-200s-amd
Description
Optimized Cloud Compute (2 vCPUs, 16.0 GiB RAM, 200 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
41
Status
active
Observed At
2026-09-03T17:31:49.874946

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
2
CPU Allocation
Dedicated
CPU Cores
1
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
512 KiB
CPU L3 Cache
32 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, 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
2
Scalability
200

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
    200 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      6144 GB/month
      IPv4
      1

      CPU and System Topology

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.243Score
      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) 203,119 ops/sec 1,917,397 ops/sec 0.106 50.00% 50.00% -67.40%
      Redis RPS (pipeline=16, SET) 2,034,041 ops/sec 11,681,410 ops/sec 0.174 20.00% 20.00% -29.50%
      PassMark Memory Mark (composite) 2,292 2,418 0.948 10.00% 10.00% -0.53%
      Memory bandwidth (read, 16 MB ~ L3) 163,848 MB/sec 108,140 MB/sec 1.52 10.00% 10.00% +4.28%
      PassMark single-thread CPU 2,972 Mops/s 2,365 Mops/s 1.26 10.00% 10.00% +2.34%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,123

      Geekbench Multi-Core

      Score: 3,800

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      5482
      Compression
      52436
      Encryption
      2608
      Extended Instructions
      4713
      Floating Point Maths
      11187
      Integer Maths
      12204
      Physics
      702
      Prime Numbers
      39
      Single Threaded
      2972
      String Sorting
      7706

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2292
      Database Operations
      1065
      Memory Latency
      68
      Memory Read Cached
      27997
      Memory Read Uncached
      26182
      Memory Write
      24120

      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

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      voc-m-2c-16gb-200s-amd FAQs