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vc2-8c-32gb by Vultr

vc2-8c-32gb is a Cloud Compute (8 vCPUs, 32.0 GiB RAM, 640 GB NVMe) server offered by Vultr with 8 vCPUs, 32 GiB of memory and 640 GB of storage. The pricing starts at 0.219 USD per hour.
8 vCPU
32 GiB Memory
640 GB Storage
Spare SCore
6282
(All-cores)
800
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vc2-8c-32gb
Description
Cloud Compute (8 vCPUs, 32.0 GiB RAM, 640 GB NVMe)
Family
Cloud Compute
Hw Virt
Average Time To Start
88
Status
active
Observed At
2026-07-20T16:35:16.790698

Availability

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

Processor

vCPUs
8
CPU Allocation
Shared
CPU Cores
4
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
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
4 MiB
CPU L2 Cache Total
16 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, 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, xsaveopt, arat
Ecpus
7.9
Scalability
197.5

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    640 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      6144 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A shared-CPU virtual server offering balanced memory capacity and local NVMe storage for general-purpose workloads and staging environments.

      General PurposeBurstable & Budget

      Vultr vc2-8c-32gb is an x86_64 General Purpose virtual server from the Cloud Compute family, featuring 8 shared Intel vCPUs (4 physical cores, 2 threads per core) running at 2.0 GHz, paired with 32.0 GB of RAM and 640 GB of NVMe SSD storage. Benchmark data indicates a clear tradeoff between single-core and multi-core performance; single-core stress-ng and compression metrics fall in the bottom 10%, whereas multi-core stress-ng and PassMark CPU scores reach average tiers. Memory read bandwidth is stable, but large-block write speeds are weak. This shared-CPU instance provides a cost-effective option for workloads requiring high memory density and local storage without demanding continuous, dedicated single-core performance. It is best suited for general-purpose applications, multi-threaded background tasks, staging environments, and moderate Redis caching.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.363Score
      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) 561,919 ops/sec 1,895,870 ops/sec 0.296 50.00% 50.00% -45.60%
      Redis RPS (pipeline=16, SET) 3,891,906 ops/sec 11,503,938 ops/sec 0.338 20.00% 20.00% -19.50%
      PassMark Memory Mark (composite) 1,627 2,410 0.675 10.00% 10.00% -3.85%
      Memory bandwidth (read, 16 MB ~ L3) 37,874 MB/sec 107,331 MB/sec 0.353 10.00% 10.00% -9.89%
      PassMark single-thread CPU 1,525 Mops/s 2,363 Mops/s 0.645 10.00% 10.00% -4.29%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		7987
      Compression
      		112871
      Encryption
      		2193
      Extended Instructions
      		7409
      Floating Point Maths
      		19292
      Integer Maths
      		23915
      Physics
      		854
      Prime Numbers
      		47
      Single Threaded
      		1525
      String Sorting
      		15452

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1627
      Database Operations
      		1985
      Memory Latency
      		81
      Memory Read Cached
      		18028
      Memory Read Uncached
      		7325
      Memory Write
      		5815

      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
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      vc2-1c-1gb 11 GiB0
      vc2-1c-2gb 12 GiB0
      vc2-2c-2gb 22 GiB0
      vc2-2c-4gb 24 GiB0
      vc2-4c-8gb 48 GiB0

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      vc2-8c-32gb FAQs