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
6,282
(All-cores)
800
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vc2-8c-32gb
API Reference Object
-
Description
Cloud Compute (8 vCPUs, 32.0 GiB RAM, 640 GB NVMe)
Family
Cloud Compute
Hw Virt
Average Time To Start
77.25
Status
active
Observed At
2026-10-18T21:51:51.414809

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
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
98.75

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    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 combining eight vCPUs, thirty-two gigabytes of memory, and local NVMe storage for multi-threaded workloads.

      General PurposeBurstable & Budget

      Vultr vc2-8c-32gb is a general-purpose virtual server from the Cloud Compute family, featuring 8 shared Intel x86_64 vCPUs, 32.0 GB of RAM, and a 640 GB NVMe SSD. Operating on a shared CPU architecture with 4 physical cores and hyper-threading, this instance exhibits a performance profile characterized by weak single-core execution but average multi-core processing capabilities. While memory read bandwidth is average, memory write speeds and database operations fall into lower performance tiers. The shared CPU model offers a cost-effective option for resource-dense workloads that do not require dedicated CPU guarantees. It is best suited for multi-threaded background tasks, software compilation, and general-purpose staging environments.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.36Score
      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 1,917,050 ops/sec 0.29 50.00% 50.00% -46.00%
      Redis RPS (pipeline=16, SET) 3,891,906 ops/sec 11,661,818 ops/sec 0.33 20.00% 20.00% -20.00%
      PassMark Memory Mark (composite) 1,627 2,417 0.67 10.00% 10.00% -3.90%
      Memory bandwidth (read, 16 MB ~ L3) 37,874 MB/sec 108,361 MB/sec 0.35 10.00% 10.00% -10.00%
      PassMark single-thread CPU 1,525 Mops/s 2,365 Mops/s 0.62 10.00% 10.00% -4.70%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 844

      Geekbench Multi-Core

      Score: 4,301

      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

      PostgreSQL heavy read-only throughput

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      vc2-1c-0.5gb 10.5 GiB0
      vc2-1c-0.5gb-v6 10.5 GiB0
      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

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      vc2-8c-32gb FAQs