vhf-2c-4gb by Vultr

vhf-2c-4gb is a High Frequency Compute (2 vCPUs, 4.0 GiB RAM, 128 GB NVMe) server offered by Vultr with 2 vCPUs, 4 GiB of memory and 128 GB of storage. The pricing starts at 0.033 USD per hour.
2 vCPU
4 GiB Memory
128 GB Storage
Spare SCore
3,596
(All-cores)
1,874
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vhf-2c-4gb
Description
High Frequency Compute (2 vCPUs, 4.0 GiB RAM, 128 GB NVMe)
Family
High Frequency Compute
Hw Virt
Average Time To Start
56.75
Status
active
Observed At
2026-09-03T17:31:49.874020

Availability

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

Processor

vCPUs
2
CPU Allocation
Shared
CPU Cores
1
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
4 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
1.9
Scalability
190

System Resources and Accelerators

MEMORY
Memory Amount
4 GiB
Memory Amount Actual
4 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    128 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      3072 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly shared-core virtual server featuring local NVMe storage and average single-core performance for lightweight, single-threaded workloads.

      Compute OptimizedBurstable & Budget

      Vultr vhf-2c-4gb is an x86_64 virtual server in the High Frequency Compute family, configured with 2 shared Intel vCPUs, 4.0 GB of RAM, and a 128 GB NVMe SSD. While single-core performance is average, with a Geekbench single-core score of 1456.0 and strong single-threaded gzip compression at 32.63 GB/sec, multi-core and memory performance are limited. The instance exhibits weak multi-core benchmark results and poor uncached memory bandwidth, reflecting its shared CPU allocation. Lacking GPU acceleration, this budget-friendly configuration is qualitatively cost-effective for lightweight, single-threaded tasks, basic web serving, and development environments, but is less suitable for memory-intensive or highly parallelized database workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.227Score
      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) 273,127 ops/sec 1,917,397 ops/sec 0.142 50.00% 50.00% -62.30%
      Redis RPS (pipeline=16, SET) 2,067,182 ops/sec 11,681,410 ops/sec 0.177 20.00% 20.00% -29.30%
      PassMark Memory Mark (composite) 1,754 2,418 0.725 10.00% 10.00% -3.16%
      Memory bandwidth (read, 16 MB ~ L3) 25,966 MB/sec 108,140 MB/sec 0.24 10.00% 10.00% -13.30%
      PassMark single-thread CPU 2,737 Mops/s 2,365 Mops/s 1.16 10.00% 10.00% +1.50%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,456

      Geekbench Multi-Core

      Score: 2,405

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 4124
      Compression
      		 49228
      Encryption
      		 1300
      Extended Instructions
      		 3138
      Floating Point Maths
      		 9136
      Integer Maths
      		 11005
      Physics
      		 464
      Prime Numbers
      		 31
      Single Threaded
      		 2737
      String Sorting
      		 6291

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1754
      Database Operations
      		 1000
      Memory Latency
      		 46
      Memory Read Cached
      		 30471
      Memory Read Uncached
      		 12943
      Memory Write
      		 11327

      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
      vhf-1c-1gb 11 GiB0
      vhf-1c-2gb 12 GiB0
      vhf-2c-2gb 22 GiB0
      vhf-3c-8gb 38 GiB0
      vhf-4c-16gb 416 GiB0
      vhf-6c-24gb 624 GiB0
      vhf-8c-32gb 832 GiB0

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      vhf-2c-4gb FAQs