vx1-m-16c-128gb by Vultr

vx1-m-16c-128gb is a VX1 Cloud Compute (16 vCPUs, 128.0 GiB RAM) server offered by Vultr with 16 vCPUs, 128 GiB of memory and 1 GB of storage. The pricing starts at 0.64 USD per hour.
16 vCPU
128 GiB Memory
1 GB Storage
Spare SCore
28,922
(All-cores)
3,618
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-16c-128gb
Description
VX1 Cloud Compute (16 vCPUs, 128.0 GiB RAM)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
41.5
Status
active
Observed At
2026-09-03T17:31:49.876542

Availability

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

Processor

vCPUs
16
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
48 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      8192 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring dedicated AMD EPYC processors and high memory density for demanding database and caching workloads.

      Memory OptimizedGeneral Purpose

      Vultr vx1-m-16c-128gb is a memory-optimized virtual server from the VX1 Cloud Compute family, featuring 16 dedicated vCPUs powered by an AMD EPYC x86_64 processor and 128.0 GB of RAM. Operating at 2.0 GHz with an 8.0 GB per vCPU memory ratio, this server is designed for memory-intensive workloads. It includes 1 GB of network-attached local storage and no GPU. Benchmarks show top-tier single-core CPU performance and strong memory performance, alongside average multi-core and database execution speeds. The processor supports advanced vector extensions like AVX-512 and VNNI, enabling efficient small-model text generation. This configuration is highly suitable for in-memory databases, caching layers, and general-purpose memory-heavy applications, offering a balanced resource density without the overhead of local physical storage arrays.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.67Score
      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) 3,836,547 ops/sec 1,917,397 ops/sec 2 50.00% 50.00% +41.40%
      Redis RPS (pipeline=16, SET) 19,873,284 ops/sec 11,681,410 ops/sec 1.7 20.00% 20.00% +11.20%
      PassMark Memory Mark (composite) 2,872 2,418 1.19 10.00% 10.00% +1.75%
      Memory bandwidth (read, 16 MB ~ L3) 104,596 MB/sec 108,140 MB/sec 0.967 10.00% 10.00% -0.34%
      PassMark single-thread CPU 3,657 Mops/s 2,365 Mops/s 1.55 10.00% 10.00% +4.48%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,861

      Geekbench Multi-Core

      Score: 11,910

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34360
      Compression
      		 388605
      Encryption
      		 20610
      Extended Instructions
      		 31544
      Floating Point Maths
      		 62380
      Integer Maths
      		 102501
      Physics
      		 4123
      Prime Numbers
      		 208
      Single Threaded
      		 3657
      String Sorting
      		 49621

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2872
      Database Operations
      		 11410
      Memory Latency
      		 79
      Memory Read Cached
      		 32621
      Memory Read Uncached
      		 30489
      Memory Write
      		 31482

      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

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      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-32g-240s 432 GiB0

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      vx1-m-16c-128gb FAQs