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voc-s-16c-128gb-2560s-amd by Vultr

voc-s-16c-128gb-2560s-amd is a Optimized Cloud Compute (16 vCPUs, 128.0 GiB RAM, 2560 GB NVMe) server offered by Vultr with 16 vCPUs, 128 GiB of memory and 2.56 TB of storage. The pricing starts at 1.37 USD per hour.
16 vCPU
128 GiB Memory
2.56 TB Storage
Spare SCore
46301
(All-cores)
2928
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-s-16c-128gb-2560s-amd
Description
Optimized Cloud Compute (16 vCPUs, 128.0 GiB RAM, 2560 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
79.67
Status
active
Observed At
2026-07-20T16:35:16.793399

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 1.37 USD/h
Atlanta (US) / atl
- 1.37 USD/h
Bangalore (IN) / blr
- 1.37 USD/h
Mumbai (IN) / bom
- 1.37 USD/h
Paris (FR) / cdg
- 1.37 USD/h
Delhi NCR (IN) / del
- 1.37 USD/h
Dallas (US) / dfw
- 1.37 USD/h
New Jersey (US) / ewr
- 1.37 USD/h
Frankfurt (DE) / fra
- 1.37 USD/h
Honolulu (US) / hnl
- 1.37 USD/h
Seoul (KR) / icn
- 1.37 USD/h
Osaka (JP) / itm
- 1.37 USD/h
Johannesburg (ZA) / jnb
- 1.37 USD/h
Los Angeles (US) / lax
- 1.37 USD/h
London (GB) / lhr
- 1.37 USD/h
Madrid (ES) / mad
- 1.37 USD/h
Manchester (GB) / man
- 1.37 USD/h
Melbourne (AU) / mel
- 1.37 USD/h
Mexico City (MX) / mex
- 1.37 USD/h
Miami (US) / mia
- 1.37 USD/h
Tokyo (JP) / nrt
- 1.37 USD/h
Chicago (US) / ord
- 1.37 USD/h
Santiago (CL) / scl
- 1.37 USD/h
Seattle (US) / sea
- 1.37 USD/h
Singapore (SG) / sgp
- 1.37 USD/h
Silicon Valley (US) / sjc
- 1.37 USD/h
Stockholm (SE) / sto
- 1.37 USD/h
Sydney (AU) / syd
- 1.37 USD/h
Tel Aviv (IL) / tlv
- 1.37 USD/h
Warsaw (PL) / waw
- 1.37 USD/h
Toronto (CA) / yto
- 1.37 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
15.8
Scalability
197.5

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
    2560 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      9216 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server combining 128 GB of RAM and 2.5 TB of fast NVMe storage for data-intensive workloads.

      Memory OptimizedStorage & DatabaseGeneral Purpose

      The Vultr voc-s-16c-128gb-2560s-amd is an Optimized Cloud Compute instance featuring 16 shared vCPUs on an AMD EPYC x86_64 processor, paired with 128.0 GB of memory and 2560 GB of local NVMe SSD storage. It delivers strong memory performance, highlighted by top-tier large-block write bandwidth of 170.21 GB/sec and strong single-core CPU capabilities. While the shared CPU allocation presents a potential tradeoff for sustained compute-heavy tasks, the high memory-to-core ratio of 8.0 GB per vCPU and substantial local NVMe storage make this instance highly resource-dense. It is well-suited for memory-optimized workloads, database operations, caching layers, and general-purpose applications requiring large memory footprints and fast local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.25Score
      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) 1,597,421 ops/sec 1,895,870 ops/sec 0.843 50.00% 50.00% -8.18%
      Redis RPS (pipeline=16, SET) 15,832,537 ops/sec 11,503,938 ops/sec 1.38 20.00% 20.00% +6.65%
      PassMark Memory Mark (composite) 2,945 2,410 1.22 10.00% 10.00% +2.01%
      Memory bandwidth (read, 16 MB ~ L3) 813,168 MB/sec 107,331 MB/sec 7.58 10.00% 10.00% +22.50%
      PassMark single-thread CPU 2,948 Mops/s 2,363 Mops/s 1.25 10.00% 10.00% +2.26%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      37081
      Compression
      415708
      Encryption
      20876
      Extended Instructions
      38691
      Floating Point Maths
      88309
      Integer Maths
      97846
      Physics
      5496
      Prime Numbers
      302
      Single Threaded
      2948
      String Sorting
      60508

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2945
      Database Operations
      7674
      Memory Latency
      69
      Memory Read Cached
      27402
      Memory Read Uncached
      25495
      Memory Write
      23117

      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

      voc-s-16c-128gb-2560s-amd FAQs