voc-m-8c-64gb-1600s-amd by Vultr

voc-m-8c-64gb-1600s-amd is a Optimized Cloud Compute (8 vCPUs, 64.0 GiB RAM, 1600 GB NVMe) server offered by Vultr with 8 vCPUs, 64 GiB of memory and 1.6 TB of storage. The pricing starts at 0.685 USD per hour.
8 vCPU
64 GiB Memory
1.6 TB Storage
Spare SCore
24,996
(All-cores)
3,136
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-m-8c-64gb-1600s-amd
Description
Optimized Cloud Compute (8 vCPUs, 64.0 GiB RAM, 1600 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
66.75
Status
active
Observed At
2026-09-03T20:37:29.602959

Availability

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

Processor

vCPUs
8
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
2 MiB
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
8
Scalability
200

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    1600 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 x86_64 virtual server featuring dedicated AMD EPYC cores, high-capacity NVMe storage, and strong memory bandwidth.

      Memory OptimizedStorage & DatabaseGeneral Purpose

      Vultr voc-m-8c-64gb-1600s-amd is an Optimized Cloud Compute server featuring 8 dedicated vCPUs, 64.0 GB of RAM, and 1600 GB of NVMe SSD storage. Powered by an AMD EPYC processor running at 2.0 GHz, this x86_64 instance delivers a high memory-to-core ratio of 8.0 GB per vCPU. Benchmark data highlights top-tier single-core CPU performance alongside strong memory read and write bandwidth. While multi-core compute and database operations perform at average levels, the server provides a highly cost-efficient balance of memory and fast local storage for workloads that do not require GPU acceleration. It is well-suited for memory-intensive applications, relational databases, caching layers, and general-purpose enterprise workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.759Score
      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) 822,689 ops/sec 1,917,397 ops/sec 0.429 50.00% 50.00% -34.50%
      Redis RPS (pipeline=16, SET) 8,143,180 ops/sec 11,681,410 ops/sec 0.697 20.00% 20.00% -6.96%
      PassMark Memory Mark (composite) 2,868 2,418 1.19 10.00% 10.00% +1.75%
      Memory bandwidth (read, 16 MB ~ L3) 650,944 MB/sec 108,140 MB/sec 6.02 10.00% 10.00% +19.70%
      PassMark single-thread CPU 2,977 Mops/s 2,365 Mops/s 1.26 10.00% 10.00% +2.34%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,489

      Geekbench Multi-Core

      Score: 7,550

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20608
      Compression
      		 211898
      Encryption
      		 10467
      Extended Instructions
      		 20135
      Floating Point Maths
      		 45044
      Integer Maths
      		 49218
      Physics
      		 2846
      Prime Numbers
      		 155
      Single Threaded
      		 2977
      String Sorting
      		 30691

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2868
      Database Operations
      		 4284
      Memory Latency
      		 69
      Memory Read Cached
      		 27995
      Memory Read Uncached
      		 25899
      Memory Write
      		 23424

      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

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      voc-m-8c-64gb-1600s-amd FAQs