vhf-4c-16gb by Vultr

vhf-4c-16gb is a High Frequency Compute (4 vCPUs, 16.0 GiB RAM, 384 GB NVMe) server offered by Vultr with 4 vCPUs, 16 GiB of memory and 384 GB of storage. The pricing starts at 0.132 USD per hour.
4 vCPU
16 GiB Memory
384 GB Storage
Spare SCore
8,741
(All-cores)
2,411
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vhf-4c-16gb
Description
High Frequency Compute (4 vCPUs, 16.0 GiB RAM, 384 GB NVMe)
Family
High Frequency Compute
Hw Virt
Average Time To Start
36.67
Status
active
Observed At
2026-09-03T20:37:29.601156

Availability

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

Processor

vCPUs
4
CPU Allocation
Shared
CPU Cores
2
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
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, 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
3.6
Scalability
180

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    384 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      5120 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly virtual server combining shared compute cores with fast local NVMe storage for general-purpose and development workloads.

      General PurposeBurstable & Budget

      The Vultr vhf-4c-16gb is an x86_64 virtual server from the High Frequency Compute family, featuring 4 shared Intel vCPUs, 16.0 GB of RAM, and a bundled 384 GB NVMe SSD. Operating at 2.0 GHz, its hardware profile delivers average single-core performance, as evidenced by a Geekbench single-core score of 1471.0 and a Passmark CPU score of 7697.28. However, the shared CPU architecture and memory bandwidth limitations present clear tradeoffs, with weak performance in large-block memory transfers, software compilation, and database operations. While it excels at localized tasks like Redis SET operations, it is less suited for heavy multi-threaded processing or high-throughput web serving. This instance is best utilized for general-purpose workloads, lightweight application hosting, and development environments requiring fast local NVMe storage on a budget-friendly resource allocation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.289Score
      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) 331,608 ops/sec 1,917,397 ops/sec 0.173 50.00% 50.00% -58.40%
      Redis RPS (pipeline=16, SET) 2,979,362 ops/sec 11,681,410 ops/sec 0.255 20.00% 20.00% -23.90%
      PassMark Memory Mark (composite) 2,288 2,418 0.946 10.00% 10.00% -0.55%
      Memory bandwidth (read, 16 MB ~ L3) 38,088 MB/sec 108,140 MB/sec 0.352 10.00% 10.00% -9.91%
      PassMark single-thread CPU 2,835 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.84%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,471

      Geekbench Multi-Core

      Score: 4,280

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 7697
      Compression
      		 82562
      Encryption
      		 2780
      Extended Instructions
      		 5689
      Floating Point Maths
      		 17800
      Integer Maths
      		 25861
      Physics
      		 679
      Prime Numbers
      		 33
      Single Threaded
      		 2835
      String Sorting
      		 11791

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2288
      Database Operations
      		 2003
      Memory Latency
      		 55
      Memory Read Cached
      		 29249
      Memory Read Uncached
      		 13814
      Memory Write
      		 11517

      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-2c-4gb 24 GiB0
      vhf-3c-8gb 38 GiB0
      vhf-6c-24gb 624 GiB0
      vhf-8c-32gb 832 GiB0

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      vhf-4c-16gb FAQs