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voc-g-64c-192gb-960s-amd by Vultr

voc-g-64c-192gb-960s-amd is a Optimized Cloud Compute (64 vCPUs, 192.0 GiB RAM, 960 GB NVMe) server offered by Vultr with 64 vCPUs, 192 GiB of memory and 960 GB of storage. The pricing starts at 2.63 USD per hour.
64 vCPU
192 GiB Memory
960 GB Storage
Spare SCore
100556
(All-cores)
3143
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-g-64c-192gb-960s-amd
Description
Optimized Cloud Compute (64 vCPUs, 192.0 GiB RAM, 960 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
53.33
Status
active
Observed At
2026-07-20T16:35:16.793026

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 2.63 USD/h
Bangalore (IN) / blr
- 2.63 USD/h
Mumbai (IN) / bom
- 2.63 USD/h
New Jersey (US) / ewr
- 2.63 USD/h
Frankfurt (DE) / fra
- 2.63 USD/h
Honolulu (US) / hnl
- 2.63 USD/h
Seoul (KR) / icn
- 2.63 USD/h
Los Angeles (US) / lax
- 2.63 USD/h
London (GB) / lhr
- 2.63 USD/h
Madrid (ES) / mad
- 2.63 USD/h
Melbourne (AU) / mel
- 2.63 USD/h
Mexico City (MX) / mex
- 2.63 USD/h
Miami (US) / mia
- 2.63 USD/h
Tokyo (JP) / nrt
- 2.63 USD/h
Chicago (US) / ord
- 2.63 USD/h
Silicon Valley (US) / sjc
- 2.63 USD/h
Tel Aviv (IL) / tlv
- 2.63 USD/h
Warsaw (PL) / waw
- 2.63 USD/h

Processor

vCPUs
64
CPU Allocation
Shared
CPU Cores
32
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 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, svm, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, perfctr_core, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsaves, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, npt, nrip_save, vnmi, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, fsrm
Ecpus
32
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    960 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      11264 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A high-density AMD EPYC server featuring sixty-four vCPUs, fast NVMe storage, and top-tier memory performance for parallelized data workloads.

      Compute OptimizedGeneral Purpose

      The Vultr voc-g-64c-192gb-960s-amd is an Optimized Cloud Compute server featuring 64 vCPUs and 192.0 GB of RAM, powered by an AMD EPYC processor on the x86_64 architecture. It includes 960 GB of local NVMe SSD storage and operates on a shared CPU allocation model. The hardware supports advanced vector and cryptographic instructions, including AVX-512 and AES. In benchmark testing, the server delivers top-tier single-core CPU and memory performance, alongside strong multi-core processing and database throughput. This configuration is highly suitable for parallelized workloads such as database operations, static web serving, redis caching, and medium-scale LLM text generation. It offers a resource-dense, cost-effective solution for multi-threaded applications, though the shared CPU allocation represents a tradeoff for workloads requiring sustained, guaranteed compute performance.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.51Score
      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) 4,819,116 ops/sec 1,895,870 ops/sec 2.54 50.00% 50.00% +59.40%
      Redis RPS (pipeline=16, SET) 43,501,514 ops/sec 11,503,938 ops/sec 3.78 20.00% 20.00% +30.50%
      PassMark Memory Mark (composite) 3,068 2,410 1.27 10.00% 10.00% +2.42%
      Memory bandwidth (read, 16 MB ~ L3) 445,901 MB/sec 107,331 MB/sec 4.15 10.00% 10.00% +15.30%
      PassMark single-thread CPU 2,944 Mops/s 2,363 Mops/s 1.25 10.00% 10.00% +2.26%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      79514
      Compression
      1276177
      Encryption
      78647
      Extended Instructions
      88262
      Floating Point Maths
      173501
      Integer Maths
      310333
      Physics
      12278
      Prime Numbers
      725
      Single Threaded
      2944
      String Sorting
      187378

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      3068
      Database Operations
      30486
      Memory Latency
      68
      Memory Read Cached
      28280
      Memory Read Uncached
      26069
      Memory Write
      23552

      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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