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vhf-2c-2gb by Vultr

vhf-2c-2gb is a High Frequency Compute (2 vCPUs, 2.0 GiB RAM, 80 GB NVMe) server offered by Vultr with 2 vCPUs, 2 GiB of memory and 80 GB of storage. The pricing starts at 0.025 USD per hour.
2 vCPU
2 GiB Memory
80 GB Storage
Spare SCore
2786
(All-cores)
1425
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vhf-2c-2gb
Description
High Frequency Compute (2 vCPUs, 2.0 GiB RAM, 80 GB NVMe)
Family
High Frequency Compute
Hw Virt
Average Time To Start
51
Status
active
Observed At
2026-07-20T16:35:16.790885

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 0.025 USD/h
Atlanta (US) / atl
- 0.025 USD/h
Bangalore (IN) / blr
- 0.025 USD/h
Mumbai (IN) / bom
- 0.025 USD/h
Paris (FR) / cdg
- 0.025 USD/h
Delhi NCR (IN) / del
- 0.025 USD/h
Dallas (US) / dfw
- 0.025 USD/h
New Jersey (US) / ewr
- 0.025 USD/h
Frankfurt (DE) / fra
- 0.025 USD/h
Seoul (KR) / icn
- 0.025 USD/h
Osaka (JP) / itm
- 0.025 USD/h
Johannesburg (ZA) / jnb
- 0.025 USD/h
Los Angeles (US) / lax
- 0.025 USD/h
London (GB) / lhr
- 0.025 USD/h
Madrid (ES) / mad
- 0.025 USD/h
Manchester (GB) / man
- 0.025 USD/h
Melbourne (AU) / mel
- 0.025 USD/h
Mexico City (MX) / mex
- 0.025 USD/h
Miami (US) / mia
- 0.025 USD/h
Tokyo (JP) / nrt
- 0.025 USD/h
Chicago (US) / ord
- 0.025 USD/h
Santiago (CL) / scl
- 0.025 USD/h
Seattle (US) / sea
- 0.025 USD/h
Singapore (SG) / sgp
- 0.025 USD/h
Silicon Valley (US) / sjc
- 0.025 USD/h
Stockholm (SE) / sto
- 0.025 USD/h
Sydney (AU) / syd
- 0.025 USD/h
Tel Aviv (IL) / tlv
- 0.025 USD/h
Warsaw (PL) / waw
- 0.025 USD/h
Toronto (CA) / yto
- 0.025 USD/h
São Paulo (BR) / sao
- 0.037 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
2
Scalability
200

System Resources and Accelerators

MEMORY
Memory Amount
2 GiB
Memory Amount Actual
2 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    80 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

      An entry-level shared-CPU instance featuring local NVMe storage and balanced single-core performance for budget-conscious utility workloads.

      Burstable & BudgetCompute Optimized

      Vultr vhf-2c-2gb is a High Frequency Compute virtual server configured with 2 vCPUs on a shared Intel x86_64 architecture, 2.0 GB of RAM, and 80 GB of local NVMe SSD storage. Operating at 2.0 GHz, the CPU features a single physical core with hyper-threading. Benchmark data shows average single-core performance, with a stress-ng score of 1425.29 and single-threaded gzip compression of 24.24 GB/sec. However, multi-core and memory bandwidth metrics are weak, with large-block memory read speeds at 18.67 GB/sec and a Passmark CPU score of 3137.23. Given the shared CPU allocation and 1.0 GB of RAM per core, this server is best suited for lightweight applications, basic web serving, and development environments where resource demands are minimal and cost efficiency is prioritized over sustained high-performance compute.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.136Score
      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) 160,260 ops/sec 1,895,870 ops/sec 0.0845 50.00% 50.00% -70.90%
      Redis RPS (pipeline=16, SET) 981,630 ops/sec 11,503,938 ops/sec 0.0853 20.00% 20.00% -38.90%
      PassMark Memory Mark (composite) 1,172 2,410 0.486 10.00% 10.00% -6.96%
      Memory bandwidth (read, 16 MB ~ L3) 19,506 MB/sec 107,331 MB/sec 0.182 10.00% 10.00% -15.70%
      PassMark single-thread CPU 1,872 Mops/s 2,363 Mops/s 0.792 10.00% 10.00% -2.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		3137
      Compression
      		37085
      Encryption
      		1076
      Extended Instructions
      		2591
      Floating Point Maths
      		6552
      Integer Maths
      		8606
      Physics
      		314
      Prime Numbers
      		18
      Single Threaded
      		1872
      String Sorting
      		4408

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1172
      Database Operations
      		687
      Memory Latency
      		47
      Memory Read Cached
      		19361
      Memory Read Uncached
      		11167
      Memory Write
      		11189

      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-4gb 24 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-2gb FAQs