vx1-g-8c-32g by Vultr

vx1-g-8c-32g is a VX1 Cloud Compute (8 vCPUs, 32.0 GiB RAM, 1 GB NVMe) server offered by Vultr with 8 vCPUs, 32 GiB of memory and 1 GB of storage. The pricing starts at 0.24 USD per hour.
8 vCPU
32 GiB Memory
1 GB Storage
Spare SCore
14,434
(All-cores)
3,613
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-g-8c-32g
API Reference Object
-
Description
VX1 Cloud Compute (8 vCPUs, 32.0 GiB RAM, 1 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
49.2
Status
active
Observed At
2026-10-19T01:37:18.381698

Availability

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

Processor

vCPUs
8
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
4
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      7168 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC instance balancing top-tier single-core performance with a 1:4 vCPU-to-RAM ratio for stateless general-purpose workloads.

      General Purpose

      The Vultr vx1-g-8c-32g is an x86_64 general-purpose server from the VX1 Cloud Compute family, featuring 8 dedicated vCPUs powered by an AMD EPYC processor running at 2.0 GHz. It is configured with 32.0 GB of RAM and a minimal 1 GB local NVMe SSD, necessitating external storage for data-heavy applications. Benchmarks reveal top-tier single-core CPU performance, single-threaded gzip compression, and text processing, while multi-core operations, memory bandwidth, and database performance remain in the average tier. The instance exhibits strong text generation speeds for small LLM models but shows weak prompt processing for medium models. With its balanced 1:4 vCPU-to-RAM ratio and dedicated CPU allocation, this server is well-suited for stateless web serving, text processing, and single-threaded utility tasks that do not require significant local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1Score
      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) 1,913,769 ops/sec 1,917,050 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 10,514,636 ops/sec 11,661,818 ops/sec 0.92 20.00% 20.00% -1.70%
      PassMark Memory Mark (composite) 2,687 2,417 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 92,281 MB/sec 108,361 MB/sec 0.84 10.00% 10.00% -1.70%
      PassMark single-thread CPU 3,654 Mops/s 2,365 Mops/s 1.5 10.00% 10.00% +4.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,917

      Geekbench Multi-Core

      Score: 7,583

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 18507
      Compression
      		 194894
      Encryption
      		 10289
      Extended Instructions
      		 15669
      Floating Point Maths
      		 31183
      Integer Maths
      		 51157
      Physics
      		 2087
      Prime Numbers
      		 125
      Single Threaded
      		 3654
      String Sorting
      		 25067

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2687
      Database Operations
      		 5429
      Memory Latency
      		 79
      Memory Read Cached
      		 32695
      Memory Read Uncached
      		 30892
      Memory Write
      		 31660

      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

      INSTANCEvCPUsMEMORYAccelerators
      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-8c-32g FAQs