vx1-m-2c-16g by Vultr

vx1-m-2c-16g is a VX1 Cloud Compute (2 vCPUs, 16.0 GiB RAM) server offered by Vultr with 2 vCPUs, 16 GiB of memory and 1 GB of storage. The pricing starts at 0.08 USD per hour.
2 vCPU
16 GiB Memory
1 GB Storage
Spare SCore
3,609
(All-cores)
3,609
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-2c-16g
Description
VX1 Cloud Compute (2 vCPUs, 16.0 GiB RAM)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
62
Status
active
Observed At
2026-09-03T17:31:49.876395

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 0.08 USD/h
Atlanta (US) / atl
- 0.08 USD/h
New Jersey (US) / ewr
- 0.08 USD/h
London (GB) / lhr
- 0.08 USD/h
Milan (IT) / mxp
- 0.08 USD/h
Tokyo (JP) / nrt
- 0.08 USD/h
Chicago (US) / ord
- 0.08 USD/h
Seattle (US) / sea
- 0.08 USD/h
Sydney (AU) / syd
- 0.08 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, 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
1
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    1 GB
    Storage Type
    network
    Storages
      NETWORK
      Network Speed Max
      15 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      5120 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly, memory-optimized virtual server delivering strong single-threaded performance and 16 GB of RAM for lightweight, memory-bound workloads.

      Memory OptimizedGeneral Purpose

      The Vultr vx1-m-2c-16g is a memory-optimized virtual server from the VX1 Cloud Compute family, featuring 2 dedicated vCPUs powered by a single physical AMD EPYC core running at 2.0 GHz. It is equipped with 16.0 GB of RAM, providing a high memory-to-vCPU ratio of 8.0 GB per core, alongside a 1 GB network-attached storage volume and no GPU. Performance benchmarks indicate top-tier single-core CPU execution and single-threaded compression speeds, though multi-core performance and database operations remain weak due to the dual-thread, single-core architecture. Large-block memory bandwidth and static web serving throughput are average. This instance represents a cost-efficient option for memory-bound, single-threaded workloads, such as lightweight caching, static web serving, and basic text processing, while being poorly suited for highly parallelized compute tasks or multi-threaded software compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.377Score
      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) 466,562 ops/sec 1,917,397 ops/sec 0.243 50.00% 50.00% -50.70%
      Redis RPS (pipeline=16, SET) 2,685,737 ops/sec 11,681,410 ops/sec 0.23 20.00% 20.00% -25.50%
      PassMark Memory Mark (composite) 2,188 2,418 0.905 10.00% 10.00% -0.99%
      Memory bandwidth (read, 16 MB ~ L3) 102,364 MB/sec 108,140 MB/sec 0.947 10.00% 10.00% -0.54%
      PassMark single-thread CPU 3,571 Mops/s 2,365 Mops/s 1.51 10.00% 10.00% +4.21%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,829

      Geekbench Multi-Core

      Score: 2,297

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 4921
      Compression
      		 49269
      Encryption
      		 2574
      Extended Instructions
      		 3750
      Floating Point Maths
      		 7777
      Integer Maths
      		 12710
      Physics
      		 675
      Prime Numbers
      		 34
      Single Threaded
      		 3571
      String Sorting
      		 6366

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2188
      Database Operations
      		 1481
      Memory Latency
      		 85
      Memory Read Cached
      		 32541
      Memory Read Uncached
      		 30182
      Memory Write
      		 31372

      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

      INSTANCEvCPUsMEMORYGPUs
      vx1-g-2c-8g 28 GiB0
      vx1-g-2c-8g-120s 28 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
      vx1-m-4c-32gb 432 GiB0

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      vx1-m-2c-16g FAQs