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vc2-24c-96gb by Vultr

vc2-24c-96gb is a Cloud Compute (24 vCPUs, 96.0 GiB RAM, 1600 GB NVMe) server offered by Vultr with 24 vCPUs, 96 GiB of memory and 1.6 TB of storage. The pricing starts at 0.877 USD per hour.
24 vCPU
96 GiB Memory
1.6 TB Storage
Spare SCore
32079
(All-cores)
1451
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vc2-24c-96gb
Description
Cloud Compute (24 vCPUs, 96.0 GiB RAM, 1600 GB NVMe)
Family
Cloud Compute
Hw Virt
Average Time To Start
57.33
Status
active
Observed At
2026-07-20T16:35:16.790776

Availability

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

Processor

vCPUs
24
CPU Allocation
Shared
CPU Cores
12
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
48 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, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, cpuid_fault, pti, ssbd, ibrs, ibpb, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, arat, pku, ospke
Ecpus
22.1
Scalability
184.17

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
    1600 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      15360 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A high-capacity shared-CPU instance combining 96 GB of memory and 1.6 TB NVMe storage for balanced, data-intensive workloads.

      General PurposeStorage & DatabaseBurstable & Budget

      Vultr vc2-24c-96gb is a Cloud Compute instance featuring 24 shared Intel Xeon vCPUs (12 physical cores) running at 2.0 GHz, paired with 96.0 GB of RAM and 1600 GB of local NVMe SSD storage. Operating on the x86_64 architecture, the processor supports AVX-512 and AES instructions. Performance benchmarks generally fall within the average range, with a PassMark CPU score of 29089.76 and a Redis SET throughput of 31.68 million operations per second. However, single-threaded gzip compression is a relative bottleneck, performing in the bottom 25% tier. The instance provides a cost-efficient, high-density resource profile for workloads that tolerate shared CPU allocation. It is well-suited for general-purpose web serving, database operations, and moderate multi-threaded data processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.1Score
      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) 2,178,372 ops/sec 1,895,870 ops/sec 1.15 50.00% 50.00% +7.24%
      Redis RPS (pipeline=16, SET) 15,452,732 ops/sec 11,503,938 ops/sec 1.34 20.00% 20.00% +6.03%
      PassMark Memory Mark (composite) 1,846 2,410 0.766 10.00% 10.00% -2.63%
      Memory bandwidth (read, 16 MB ~ L3) 120,099 MB/sec 107,331 MB/sec 1.12 10.00% 10.00% +1.14%
      PassMark single-thread CPU 1,993 Mops/s 2,363 Mops/s 0.843 10.00% 10.00% -1.69%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		29090
      Compression
      		462737
      Encryption
      		12059
      Extended Instructions
      		34189
      Floating Point Maths
      		67684
      Integer Maths
      		93589
      Physics
      		2632
      Prime Numbers
      		174
      Single Threaded
      		1993
      String Sorting
      		54957

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1846
      Database Operations
      		6985
      Memory Latency
      		82
      Memory Read Cached
      		24318
      Memory Read Uncached
      		6460
      Memory Write
      		6862

      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

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      INSTANCEvCPUsMEMORYGPUs
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      vc2-1c-2gb 12 GiB0
      vc2-2c-2gb 22 GiB0
      vc2-2c-4gb 24 GiB0
      vc2-4c-8gb 48 GiB0

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      vc2-24c-96gb FAQs