vx1-m-4c-32gb by Vultr

vx1-m-4c-32gb is a VX1 Cloud Compute (4 vCPUs, 32.0 GiB RAM, 1 GB NVMe) server offered by Vultr with 4 vCPUs, 32 GiB of memory and 1 GB of storage. The pricing starts at 0.16 USD per hour.
4 vCPU
32 GiB Memory
1 GB Storage
Spare SCore
7,238
(All-cores)
3,621
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-4c-32gb
API Reference Object
-
Description
VX1 Cloud Compute (4 vCPUs, 32.0 GiB RAM, 1 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
82.5
Status
active
Observed At
2026-10-19T05:05:07.806099

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 0.16 USD/h
Atlanta (US) / atl
- 0.16 USD/h
New Jersey (US) / ewr
- 0.16 USD/h
London (GB) / lhr
- 0.16 USD/h
Milan (IT) / mxp
- 0.16 USD/h
Tokyo (JP) / nrt
- 0.16 USD/h
Chicago (US) / ord
- 0.16 USD/h
Seattle (US) / sea
- 0.16 USD/h
Sydney (AU) / syd
- 0.16 USD/h

Processor

vCPUs
4
CPU Allocation
Dedicated
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
50

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    1 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Network Speed Max
      15 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      6144 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring dedicated AMD EPYC cores and high memory density for single-threaded and caching workloads.

      Memory OptimizedGeneral Purpose

      Vultr vx1-m-4c-32gb is a memory-optimized server from the VX1 Cloud Compute family, featuring 4 dedicated vCPUs powered by an AMD EPYC processor at 2.0 GHz, 32.0 GB of RAM, and a bundled 1 GB NVMe SSD. This hardware configuration delivers a high memory-to-vCPU ratio of 8.0 GB per core. Benchmark results indicate top-tier single-core CPU performance, single-threaded compression, and text processing. However, multi-threaded performance and software compilation benchmarks fall into the bottom 25% tier. With average memory bandwidth and database operation speeds, this server is highly suitable for memory-cached workloads like Redis, database operations, and single-threaded processing tasks. The extremely limited 1 GB local storage represents a key tradeoff, requiring external storage solutions for data-intensive applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.64Score
      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) 960,492 ops/sec 1,917,050 ops/sec 0.51 50.00% 50.00% -29.00%
      Redis RPS (pipeline=16, SET) 5,427,841 ops/sec 11,661,818 ops/sec 0.45 20.00% 20.00% -15.00%
      PassMark Memory Mark (composite) 2,513 2,417 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 123,290 MB/sec 108,361 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 3,620 Mops/s 2,365 Mops/s 1.5 10.00% 10.00% +4.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,841

      Geekbench Multi-Core

      Score: 4,273

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9687
      Compression
      		 97901
      Encryption
      		 5119
      Extended Instructions
      		 7671
      Floating Point Maths
      		 15614
      Integer Maths
      		 25623
      Physics
      		 1298
      Prime Numbers
      		 68
      Single Threaded
      		 3620
      String Sorting
      		 12810

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2513
      Database Operations
      		 2808
      Memory Latency
      		 84
      Memory Read Cached
      		 32661
      Memory Read Uncached
      		 30106
      Memory Write
      		 31428

      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

      INSTANCEvCPUsMEMORYAccelerators
      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-32g-240s 432 GiB0

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      vx1-m-4c-32gb FAQs