voc-s-16c-128gb-3840s-amd by Vultr

voc-s-16c-128gb-3840s-amd is a Optimized Cloud Compute (16 vCPUs, 128.0 GiB RAM, 3840 GB NVMe) server offered by Vultr with 16 vCPUs, 128 GiB of memory and 3.84 TB of storage. The pricing starts at 1.699 USD per hour.
16 vCPU
128 GiB Memory
3.84 TB Storage
Spare SCore
46,205
(All-cores)
2,913
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-s-16c-128gb-3840s-amd
Description
Optimized Cloud Compute (16 vCPUs, 128.0 GiB RAM, 3840 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
55.75
Status
active
Observed At
2026-09-03T20:37:29.603194

Availability

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

Processor

vCPUs
16
CPU Allocation
Dedicated
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
15.9
Scalability
198.75

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
    3840 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

      An AMD EPYC instance featuring a high memory-to-core ratio and substantial local NVMe SSD storage for data-intensive workloads.

      Memory OptimizedStorage & DatabaseGeneral Purpose

      Vultr voc-s-16c-128gb-3840s-amd is an Optimized Cloud Compute instance featuring 16 dedicated vCPUs on an AMD EPYC x86_64 architecture with 128.0 GB of RAM and 3840 GB of local NVMe SSD storage. Running at 2.0 GHz, the 8 physical cores support multithreading and deliver strong single-core performance alongside average multi-core capabilities. Memory bandwidth is balanced, with large-block reads reaching 123.94 GB/sec. The server's high memory-to-vCPU ratio and large local storage make it qualitatively cost-efficient for data-dense applications. It is suited for database operations, Redis caching, software compilation, and medium-scale LLM inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 1,373,935 ops/sec 1,917,397 ops/sec 0.717 50.00% 50.00% -15.30%
      Redis RPS (pipeline=16, SET) 12,926,985 ops/sec 11,681,410 ops/sec 1.11 20.00% 20.00% +2.11%
      PassMark Memory Mark (composite) 2,726 2,418 1.13 10.00% 10.00% +1.23%
      Memory bandwidth (read, 16 MB ~ L3) 410,302 MB/sec 108,140 MB/sec 3.79 10.00% 10.00% +14.30%
      PassMark single-thread CPU 2,506 Mops/s 2,365 Mops/s 1.06 10.00% 10.00% +0.58%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,504

      Geekbench Multi-Core

      Score: 10,847

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 31969
      Compression
      		 365006
      Encryption
      		 19341
      Extended Instructions
      		 29461
      Floating Point Maths
      		 70976
      Integer Maths
      		 89960
      Physics
      		 4733
      Prime Numbers
      		 260
      Single Threaded
      		 2506
      String Sorting
      		 51188

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2726
      Database Operations
      		 7168
      Memory Latency
      		 65
      Memory Read Cached
      		 25525
      Memory Read Uncached
      		 15448
      Memory Write
      		 15974

      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

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      INSTANCEvCPUsMEMORYGPUs
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      voc-s-16c-128gb-3840s-amd FAQs