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voc-g-24c-96gb-480s-amd by Vultr

voc-g-24c-96gb-480s-amd is a Optimized Cloud Compute (24 vCPUs, 96.0 GiB RAM, 480 GB NVMe) server offered by Vultr with 24 vCPUs, 96 GiB of memory and 480 GB of storage. The pricing starts at 0.986 USD per hour.
24 vCPU
96 GiB Memory
480 GB Storage
Spare SCore
74750
(All-cores)
3209
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
voc-g-24c-96gb-480s-amd
Description
Optimized Cloud Compute (24 vCPUs, 96.0 GiB RAM, 480 GB NVMe)
Family
Optimized Cloud Compute
Hw Virt
Average Time To Start
43
Status
active
Observed At
2026-07-20T16:35:16.792673

Availability

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

Processor

vCPUs
24
CPU Allocation
Shared
CPU Cores
12
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
6 MiB
CPU L3 Cache
16 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, 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
23.3
Scalability
194.17

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    480 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 balanced x86_64 configuration featuring shared AMD EPYC processors, 96 GB RAM, and NVMe storage for general-purpose workloads.

      General PurposeBurstable & Budget

      The Vultr voc-g-24c-96gb-480s-amd is an x86_64 server in the Optimized Cloud Compute family, configured with 24 shared vCPUs across 12 physical AMD EPYC cores at 2.0 GHz. It features 96.0 GB of RAM, a 480 GB NVMe SSD, and one public IPv4 address. Benchmarks show top-tier single-core CPU performance and strong multi-core capabilities, alongside average memory bandwidth. While the shared CPU allocation presents a potential tradeoff for sustained workloads, the balanced 1:4 vCPU-to-RAM ratio provides cost-efficient resource density. This server is suited for static web serving, multi-threaded decompression, and moderate database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.28Score
      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) 2,095,885 ops/sec 1,895,870 ops/sec 1.11 50.00% 50.00% +5.36%
      Redis RPS (pipeline=16, SET) 19,425,605 ops/sec 11,503,938 ops/sec 1.69 20.00% 20.00% +11.10%
      PassMark Memory Mark (composite) 2,892 2,410 1.2 10.00% 10.00% +1.84%
      Memory bandwidth (read, 16 MB ~ L3) 190,045 MB/sec 107,331 MB/sec 1.77 10.00% 10.00% +5.88%
      PassMark single-thread CPU 2,804 Mops/s 2,363 Mops/s 1.19 10.00% 10.00% +1.75%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		44904
      Compression
      		552399
      Encryption
      		30292
      Extended Instructions
      		40805
      Floating Point Maths
      		104190
      Integer Maths
      		137207
      Physics
      		5882
      Prime Numbers
      		368
      Single Threaded
      		2804
      String Sorting
      		76488

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2892
      Database Operations
      		11563
      Memory Latency
      		62
      Memory Read Cached
      		27849
      Memory Read Uncached
      		16805
      Memory Write
      		16799

      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

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      voc-c-1c-2gb-25s-amd 12 GiB0
      voc-g-1c-4gb-30s-amd 14 GiB0
      voc-m-1c-8gb-50s-amd 18 GiB0
      voc-s-1c-8gb-150s-amd 18 GiB0
      voc-c-2c-4gb-50s-amd 24 GiB0
      voc-c-2c-4gb-75s-amd 24 GiB0
      voc-g-2c-8gb-50s-amd 28 GiB0

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      voc-g-24c-96gb-480s-amd FAQs