vx1-m-16c-128gb by Vultr

vx1-m-16c-128gb is a VX1 Cloud Compute (16 vCPUs, 128.0 GiB RAM, 1 GB NVMe) 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
API Reference Object
-
Description
VX1 Cloud Compute (16 vCPUs, 128.0 GiB RAM, 1 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
41.5
Status
active
Observed At
2026-10-19T01:37:18.381808

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
50

System Resources and Accelerators

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

      CPU and System Topology

      Server Description

      A memory-optimized dedicated server featuring high RAM density, advanced vector instructions, and top-tier single-core performance for memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      The Vultr vx1-m-16c-128gb is a memory-optimized server from the VX1 Cloud Compute family, featuring 16 dedicated vCPUs on 8 physical AMD EPYC cores running at 2.0 GHz. It is equipped with 128.0 GB of RAM, offering a high 8.0 GB of memory per core, but features a highly restricted 1 GB local NVMe SSD. Performance benchmarks show top-tier results in single-core CPU tasks, text processing, and small-model LLM text generation, while multi-core compute and memory bandwidth remain in the average tier. The processor supports advanced vector instructions and hardware cryptography. Due to its high memory-to-vCPU ratio and minimal local storage, this instance is best suited for memory-intensive applications, caching layers, and text processing workloads that rely on external storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.7Score
      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 1,917,050 ops/sec 2 50.00% 50.00% +41.00%
      Redis RPS (pipeline=16, SET) 19,873,284 ops/sec 11,661,818 ops/sec 1.7 20.00% 20.00% +11.00%
      PassMark Memory Mark (composite) 2,872 2,417 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 104,596 MB/sec 108,361 MB/sec 0.91 10.00% 10.00% -0.94%
      PassMark single-thread CPU 3,657 Mops/s 2,365 Mops/s 1.5 10.00% 10.00% +4.10%

      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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      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