vc2-4c-8gb by Vultr

vc2-4c-8gb is a Cloud Compute (4 vCPUs, 8.0 GiB RAM, 160 GB NVMe) server offered by Vultr with 4 vCPUs, 8 GiB of memory and 160 GB of storage. The pricing starts at 0.055 USD per hour.
4 vCPU
8 GiB Memory
160 GB Storage
Spare SCore
5,030
(All-cores)
1,304
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vc2-4c-8gb
Description
Cloud Compute (4 vCPUs, 8.0 GiB RAM, 160 GB NVMe)
Family
Cloud Compute
Hw Virt
Average Time To Start
70
Status
active
Observed At
2026-09-03T17:31:49.873820

Availability

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

Processor

vCPUs
4
CPU Allocation
Shared
CPU Cores
2
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
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
4 MiB
CPU L2 Cache Total
8 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, 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
3.9
Scalability
195

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    160 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      4096 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly shared CPU instance with NVMe storage, designed for lightweight applications and basic development environments.

      Burstable & BudgetCompute Optimized

      Vultr vc2-4c-8gb is an x86_64 Cloud Compute server configured with 4 shared Intel Xeon vCPUs, 8.0 GB of RAM, and 160 GB of local NVMe SSD storage. Operating at 2.0 GHz, its hardware profile is designed for budget-conscious, low-intensity workloads. Benchmark data reveals weak to poor performance across compute, memory bandwidth, and database operations, with Geekbench and stress-ng scores falling in the bottom 25% of tested instances. However, it maintains an average cached memory read bandwidth of 367.64 GB/sec. Lacking a GPU, this instance is best suited for lightweight applications, static web serving, and development environments rather than resource-intensive databases or complex analytical tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.202Score
      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) 294,179 ops/sec 1,917,397 ops/sec 0.153 50.00% 50.00% -60.90%
      Redis RPS (pipeline=16, SET) 1,582,599 ops/sec 11,681,410 ops/sec 0.135 20.00% 20.00% -33.00%
      PassMark Memory Mark (composite) 1,173 2,418 0.485 10.00% 10.00% -6.98%
      Memory bandwidth (read, 16 MB ~ L3) 25,658 MB/sec 108,140 MB/sec 0.237 10.00% 10.00% -13.40%
      PassMark single-thread CPU 1,464 Mops/s 2,365 Mops/s 0.619 10.00% 10.00% -4.68%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 785

      Geekbench Multi-Core

      Score: 2,290

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 4795
      Compression
      		 58780
      Encryption
      		 1868
      Extended Instructions
      		 5012
      Floating Point Maths
      		 10434
      Integer Maths
      		 14997
      Physics
      		 424
      Prime Numbers
      		 24
      Single Threaded
      		 1464
      String Sorting
      		 4869

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1173
      Database Operations
      		 638
      Memory Latency
      		 98
      Memory Read Cached
      		 21520
      Memory Read Uncached
      		 5239
      Memory Write
      		 5858

      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

      INSTANCEvCPUsMEMORYGPUs
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      vc2-6c-16gb 616 GiB0

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      vc2-4c-8gb FAQs