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vx1-m-4c-32g-240s by Vultr

vx1-m-4c-32g-240s is a VX1 Cloud Compute (4 vCPUs, 32.0 GiB RAM, 240 GB NVMe) server offered by Vultr with 4 vCPUs, 32 GiB of memory and 240 GB of storage. The pricing starts at 0.193 USD per hour.
4 vCPU
32 GiB Memory
240 GB Storage
Spare SCore
6112
(All-cores)
3056
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-4c-32g-240s
Description
VX1 Cloud Compute (4 vCPUs, 32.0 GiB RAM, 240 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
106.5
Status
active
Observed At
2026-07-20T16:35:16.795297

Availability

REGION / IDSPOTONDEMAND
Atlanta (US) / atl
- 0.193 USD/h
Paris (FR) / cdg
- 0.193 USD/h
New Jersey (US) / ewr
- 0.193 USD/h
London (GB) / lhr
- 0.193 USD/h
Milan (IT) / mxp
- 0.193 USD/h
Tokyo (JP) / nrt
- 0.193 USD/h
Chicago (US) / ord
- 0.193 USD/h
Seattle (US) / sea
- 0.193 USD/h
Silicon Valley (US) / sjc
- 0.193 USD/h
Sydney (AU) / syd
- 0.193 USD/h

Processor

vCPUs
4
CPU Allocation
Shared
CPU Cores
2
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
48 KiB
CPU L1D Cache Total
96 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, rep_good, nopl, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, svm, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, perfctr_core, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, npt, lbrv, nrip_save, tsc_scale, vmcb_clean, flushbyasid, pausefilter, pfthreshold, v_vmsave_vmload, vgif, vnmi, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, movdiri, movdir64b, fsrm, avx512_vp2intersect, srso_user_kernel_no
Ecpus
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    240 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      6144 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server combining a high RAM-to-vCPU ratio with local NVMe storage for memory-intensive, bursty workloads.

      Memory OptimizedBurstable & BudgetGeneral Purpose

      Vultr vx1-m-4c-32g-240s is a memory-optimized virtual server from the VX1 Cloud Compute family, featuring 4 shared vCPUs on an AMD EPYC x86_64 processor running at 2.0 GHz. It is equipped with 32.0 GB of RAM, providing a high 8.0 GB per vCPU ratio, alongside 240 GB of local NVMe SSD storage. Performance benchmarks indicate strong single-core capabilities, with stress-ng single-core and single-threaded gzip compression scoring in the top 25%. However, multi-threaded performance is more limited, with multi-core stress-ng and PassMark scores falling in the average range, and multi-threaded bzip3 decompression in the bottom 25%. This resource profile offers a cost-effective solution for memory-heavy, CPU-bursty workloads. It is highly suitable for database hosting, Redis caching, static web serving, and lightweight text processing, where memory capacity is prioritized over sustained multi-core compute.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.567Score
      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) 806,075 ops/sec 1,895,870 ops/sec 0.425 50.00% 50.00% -34.80%
      Redis RPS (pipeline=16, SET) 4,588,139 ops/sec 11,503,938 ops/sec 0.399 20.00% 20.00% -16.80%
      PassMark Memory Mark (composite) 2,526 2,410 1.05 10.00% 10.00% +0.49%
      Memory bandwidth (read, 16 MB ~ L3) 122,222 MB/sec 107,331 MB/sec 1.14 10.00% 10.00% +1.32%
      PassMark single-thread CPU 3,100 Mops/s 2,363 Mops/s 1.31 10.00% 10.00% +2.74%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		8187
      Compression
      		82738
      Encryption
      		4372
      Extended Instructions
      		6506
      Floating Point Maths
      		13216
      Integer Maths
      		21620
      Physics
      		1101
      Prime Numbers
      		57
      Single Threaded
      		3100
      String Sorting
      		10637

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2526
      Database Operations
      		2690
      Memory Latency
      		77
      Memory Read Cached
      		27640
      Memory Read Uncached
      		26856
      Memory Write
      		27429

      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
      vx1-g-2c-8g 28 GiB0
      vx1-g-2c-8g-120s 28 GiB0
      vx1-m-2c-16g 216 GiB0
      vx1-m-2c-16g-120s 216 GiB0
      vx1-g-4c-16g 416 GiB0
      vx1-g-4c-16g-240s 416 GiB0
      vx1-m-4c-32gb 432 GiB0

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      vx1-m-4c-32g-240s FAQs