vx1-m-2c-16g-120s by Vultr

vx1-m-2c-16g-120s is a VX1 Cloud Compute (2 vCPUs, 16.0 GiB RAM, 120 GB NVMe) server offered by Vultr with 2 vCPUs, 16 GiB of memory and 120 GB of storage. The pricing starts at 0.096 USD per hour.
2 vCPU
16 GiB Memory
120 GB Storage
Spare SCore
3,013
(All-cores)
3,013
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-2c-16g-120s
API Reference Object
-
Description
VX1 Cloud Compute (2 vCPUs, 16.0 GiB RAM, 120 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
90.71
Status
active
Observed At
2026-10-19T10:19:04.469206

Availability

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

Processor

vCPUs
2
CPU Allocation
Dedicated
CPU Cores
1
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
48 KiB
CPU L1D Cache Total
48 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 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, 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, 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, overflow_recov, succor, fsrm, avx512_vp2intersect, srso_user_kernel_no
Ecpus
1
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    120 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Network Speed Max
      15 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      5120 GB/month
      IPv4
      1

      Server Description

      A memory-optimized virtual server featuring dedicated AMD EPYC cores and NVMe storage for low-concurrency, memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      The Vultr vx1-m-2c-16g-120s is an x86_64 virtual server from the VX1 Cloud Compute family, featuring 2 dedicated vCPUs powered by an AMD EPYC processor running at 2.0 GHz. It is configured with 16.0 GB of RAM, yielding a high 8.0 GB per vCPU ratio, and includes a bundled 120 GB NVMe SSD. While single-threaded performance is strong, evidenced by top-tier results in single-core stress-ng and gzip compression benchmarks, multi-core scaling and memory bandwidth are limited, placing in the bottom 25 percent. This server offers qualitative cost efficiency for memory-intensive, low-concurrency workloads. It is best suited for lightweight memory-bound applications, single-threaded data processing, and basic web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.27Score
      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) 328,368 ops/sec 1,917,050 ops/sec 0.17 50.00% 50.00% -59.00%
      Redis RPS (pipeline=16, SET) 1,972,032 ops/sec 11,661,818 ops/sec 0.17 20.00% 20.00% -30.00%
      PassMark Memory Mark (composite) 1,370 2,417 0.58 10.00% 10.00% -5.30%
      Memory bandwidth (read, 16 MB ~ L3) 66,405 MB/sec 108,361 MB/sec 0.6 10.00% 10.00% -5.00%
      PassMark single-thread CPU 2,967 Mops/s 2,365 Mops/s 1.2 10.00% 10.00% +1.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,825

      Geekbench Multi-Core

      Score: 2,358

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 4035
      Compression
      		 40131
      Encryption
      		 2127
      Extended Instructions
      		 3125
      Floating Point Maths
      		 6509
      Integer Maths
      		 10545
      Physics
      		 518
      Prime Numbers
      		 25
      Single Threaded
      		 2967
      String Sorting
      		 5142

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1370
      Database Operations
      		 887
      Memory Latency
      		 150
      Memory Read Cached
      		 27023
      Memory Read Uncached
      		 24380
      Memory Write
      		 14913

      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-g-4c-16g 416 GiB0
      vx1-g-4c-16g-240s 416 GiB0
      vx1-m-4c-32g-240s 432 GiB0
      vx1-m-4c-32gb 432 GiB0

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      vx1-m-2c-16g-120s FAQs