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vhf-3c-8gb by Vultr

vhf-3c-8gb is a High Frequency Compute (3 vCPUs, 8.0 GiB RAM, 256 GB NVMe) server offered by Vultr with 3 vCPUs, 8 GiB of memory and 256 GB of storage. The pricing starts at 0.066 USD per hour.
3 vCPU
8 GiB Memory
256 GB Storage
Spare SCore
7121
(All-cores)
2402
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vhf-3c-8gb
Description
High Frequency Compute (3 vCPUs, 8.0 GiB RAM, 256 GB NVMe)
Family
High Frequency Compute
Hw Virt
Average Time To Start
78
Status
active
Observed At
2026-08-15T01:49:43.733791

Availability

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

Processor

vCPUs
3
CPU Allocation
Shared
CPU Cores
3
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU L1D Cache
32 KiB
CPU L1D Cache Total
96 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
96 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
12 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
Scalability
100

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
    256 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 virtual server with shared Intel processors and fast local NVMe storage for lightweight development and database workloads.

      Compute OptimizedBurstable & Budget

      Vultr vhf-3c-8gb is a High Frequency Compute instance featuring 3 shared Intel x86_64 vCPUs at 2.0 GHz, 8.0 GB of RAM, and a bundled 256 GB NVMe SSD. While it delivers top-tier performance in single-threaded gzip compression, its overall benchmark profile is mixed. The instance shows average performance in stress-ng CPU tests and small-model LLM inference, but exhibits weak performance in uncached memory bandwidth, Passmark CPU scores, and static web serving. Lacking AVX-512 and AMX instructions, its compute capabilities are best leveraged for workloads that benefit from fast local storage rather than sustained, high-throughput parallel processing. It is qualitatively cost-effective for development environments, lightweight database operations, and basic web applications that can operate within a shared CPU resource model.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.302Score
      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) 378,156 ops/sec 1,910,660 ops/sec 0.198 50.00% 50.00% -55.50%
      Redis RPS (pipeline=16, SET) 3,104,523 ops/sec 11,608,287 ops/sec 0.267 20.00% 20.00% -23.20%
      PassMark Memory Mark (composite) 2,051 2,416 0.849 10.00% 10.00% -1.62%
      Memory bandwidth (read, 16 MB ~ L3) 31,267 MB/sec 107,896 MB/sec 0.29 10.00% 10.00% -11.60%
      PassMark single-thread CPU 2,752 Mops/s 2,364 Mops/s 1.16 10.00% 10.00% +1.50%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 5738
      Compression
      		 65526
      Encryption
      		 1879
      Extended Instructions
      		 3978
      Floating Point Maths
      		 12560
      Integer Maths
      		 19413
      Physics
      		 630
      Prime Numbers
      		 39
      Single Threaded
      		 2752
      String Sorting
      		 7845

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2051
      Database Operations
      		 2600
      Memory Latency
      		 53
      Memory Read Cached
      		 24766
      Memory Read Uncached
      		 13390
      Memory Write
      		 12309

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

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      vhf-3c-8gb FAQs