vx1-g-16c-64g by Vultr

vx1-g-16c-64g is a VX1 Cloud Compute (16 vCPUs, 64.0 GiB RAM) server offered by Vultr with 16 vCPUs, 64 GiB of memory and 1 GB of storage. The pricing starts at 0.48 USD per hour.
16 vCPU
64 GiB Memory
1 GB Storage
Spare SCore
28,920
(All-cores)
3,622
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-g-16c-64g
Description
VX1 Cloud Compute (16 vCPUs, 64.0 GiB RAM)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
39.25
Status
active
Observed At
2026-09-03T20:37:29.604194

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 0.48 USD/h
Atlanta (US) / atl
- 0.48 USD/h
New Jersey (US) / ewr
- 0.48 USD/h
London (GB) / lhr
- 0.48 USD/h
Milan (IT) / mxp
- 0.48 USD/h
Tokyo (JP) / nrt
- 0.48 USD/h
Chicago (US) / ord
- 0.48 USD/h
Seattle (US) / sea
- 0.48 USD/h
Sydney (AU) / syd
- 0.48 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
64 GiB
Memory Amount Actual
64 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 balanced general-purpose instance featuring dedicated AMD EPYC processors and strong single-core performance for text and compression workloads.

      General Purpose

      Vultr vx1-g-16c-64g is a general-purpose instance from the VX1 Cloud Compute family, featuring 16 dedicated vCPUs powered by an AMD EPYC processor with 8 physical cores and 2 threads per core at 2.0 GHz. It is configured with 64.0 GB of RAM, providing a balanced 4.0 GB per core, and includes 1 GB of network-based local storage. Benchmarks show top-tier single-core CPU performance, single-threaded compression, and text processing, alongside strong memory performance. Multi-core compute, database operations, and medium-model LLM inference perform at average levels. Lacking GPU acceleration and containing minimal local storage, this instance is optimized for general-purpose workloads such as web serving, software compilation, and text processing applications that do not require massive local disk space.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.66Score
      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) 3,789,595 ops/sec 1,917,397 ops/sec 1.98 50.00% 50.00% +40.70%
      Redis RPS (pipeline=16, SET) 19,914,784 ops/sec 11,681,410 ops/sec 1.7 20.00% 20.00% +11.20%
      PassMark Memory Mark (composite) 2,814 2,418 1.16 10.00% 10.00% +1.50%
      Memory bandwidth (read, 16 MB ~ L3) 105,807 MB/sec 108,140 MB/sec 0.978 10.00% 10.00% -0.22%
      PassMark single-thread CPU 3,665 Mops/s 2,365 Mops/s 1.55 10.00% 10.00% +4.48%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,882

      Geekbench Multi-Core

      Score: 11,731

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34362
      Compression
      		 387978
      Encryption
      		 20630
      Extended Instructions
      		 31594
      Floating Point Maths
      		 62406
      Integer Maths
      		 102461
      Physics
      		 4178
      Prime Numbers
      		 211
      Single Threaded
      		 3665
      String Sorting
      		 49181

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2814
      Database Operations
      		 10745
      Memory Latency
      		 80
      Memory Read Cached
      		 32584
      Memory Read Uncached
      		 29757
      Memory Write
      		 31668

      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 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-g-16c-64g FAQs