logo

vx1-m-16c-128g-960s by Vultr

vx1-m-16c-128g-960s is a VX1 Cloud Compute (16 vCPUs, 128.0 GiB RAM, 960 GB NVMe) server offered by Vultr with 16 vCPUs, 128 GiB of memory and 960 GB of storage. The pricing starts at 0.772 USD per hour.
16 vCPU
128 GiB Memory
960 GB Storage
Spare SCore
28848
(All-cores)
3614
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-16c-128g-960s
Description
VX1 Cloud Compute (16 vCPUs, 128.0 GiB RAM, 960 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
42
Status
active
Observed At
2026-07-20T16:35:16.795492

Availability

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

Processor

vCPUs
16
CPU Allocation
Shared
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
    960 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      8192 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring shared AMD EPYC processors and local NVMe storage for data-intensive workloads.

      Memory OptimizedStorage & DatabaseGeneral Purpose

      Vultr vx1-m-16c-128g-960s is an x86_64 memory-optimized virtual server from the VX1 Cloud Compute family, configured with 16 shared AMD EPYC vCPUs, 128.0 GB of RAM, and a 960 GB NVMe SSD. Operating at 2.0 GHz, the processor supports advanced instruction sets including AVX-512, AVX-VNNI, and AES cryptography. Benchmark results indicate top-tier single-core CPU performance and single-threaded compression, alongside strong PassMark memory scores, while multi-core and memory bandwidth metrics remain in the average tier. For machine learning, the server achieves top-tier text generation speeds on small 135M parameter models. This resource density makes the server a cost-effective option for memory-heavy workloads that do not demand dedicated CPU cores. It is highly suitable for database hosting, caching layers, and memory-intensive web serving.

      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) 3,768,187 ops/sec 1,895,870 ops/sec 1.99 50.00% 50.00% +41.10%
      Redis RPS (pipeline=16, SET) 19,911,243 ops/sec 11,503,938 ops/sec 1.73 20.00% 20.00% +11.60%
      PassMark Memory Mark (composite) 2,834 2,410 1.18 10.00% 10.00% +1.67%
      Memory bandwidth (read, 16 MB ~ L3) 106,685 MB/sec 107,331 MB/sec 0.994 10.00% 10.00% -0.06%
      PassMark single-thread CPU 3,615 Mops/s 2,363 Mops/s 1.53 10.00% 10.00% +4.34%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		34157
      Compression
      		385138
      Encryption
      		20572
      Extended Instructions
      		31529
      Floating Point Maths
      		62256
      Integer Maths
      		101928
      Physics
      		4098
      Prime Numbers
      		209
      Single Threaded
      		3615
      String Sorting
      		49038

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2834
      Database Operations
      		11269
      Memory Latency
      		81
      Memory Read Cached
      		32612
      Memory Read Uncached
      		30958
      Memory Write
      		31402

      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

      Alternatives

      Servers of the Same Family

      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

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      vx1-m-16c-128g-960s FAQs