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voc-m-16c-128gb-800s-amd by Vultr

voc-m-16c-128gb-800s-amd is a Optimized Cloud Compute (16 vCPUs, 128.0 GiB RAM, 800 GB NVMe) server offered by Vultr with 16 vCPUs, 128 GiB of memory and 800 GB of storage. The pricing starts at 0.877 USD per hour.
16 vCPU
128 GiB Memory
800 GB Storage
Spare SCore
50411
(All-cores)
3201
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-m-16c-128gb-800s-amd
Description
Optimized Cloud Compute (16 vCPUs, 128.0 GiB RAM, 800 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
50.67
Status
active
Observed At
2026-07-20T16:35:16.792956

Availability

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

Processor

vCPUs
16
CPU Allocation
Shared
CPU Cores
8
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
4 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, 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
15.7
Scalability
196.25

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    800 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      10240 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      An AMD EPYC server combining 128 GB of RAM and local NVMe storage for memory-intensive workloads with shared CPU efficiency.

      Memory OptimizedGeneral Purpose

      Vultr voc-m-16c-128gb-800s-amd is an Optimized Cloud Compute server configured with an AMD EPYC x86_64 processor, offering 16 shared vCPUs across 8 physical cores at 2.0 GHz. It features 128.0 GB of RAM, providing a high 8.0 GB per core ratio, alongside 800 GB of local NVMe SSD storage. Benchmark data highlights top-tier single-core CPU performance in stress-ng tests and a strong PassMark memory score in the top 25%. However, multi-core CPU metrics and memory bandwidth write speeds align with average tiers. The shared CPU allocation makes this instance a cost-effective option for memory-heavy workloads, though it introduces potential resource contention. It is suited for database operations, static web serving, and small-scale language model text generation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.03Score
      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) 1,510,823 ops/sec 1,895,870 ops/sec 0.797 50.00% 50.00% -10.70%
      Redis RPS (pipeline=16, SET) 14,301,674 ops/sec 11,503,938 ops/sec 1.24 20.00% 20.00% +4.40%
      PassMark Memory Mark (composite) 2,908 2,410 1.21 10.00% 10.00% +1.92%
      Memory bandwidth (read, 16 MB ~ L3) 195,941 MB/sec 107,331 MB/sec 1.83 10.00% 10.00% +6.23%
      PassMark single-thread CPU 2,787 Mops/s 2,363 Mops/s 1.18 10.00% 10.00% +1.67%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      34926
      Compression
      405788
      Encryption
      20809
      Extended Instructions
      32487
      Floating Point Maths
      77280
      Integer Maths
      96821
      Physics
      4895
      Prime Numbers
      283
      Single Threaded
      2787
      String Sorting
      55655

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2908
      Database Operations
      7721
      Memory Latency
      61
      Memory Read Cached
      26950
      Memory Read Uncached
      17006
      Memory Write
      17682

      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

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

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