vx1-m-8c-64gb by Vultr

vx1-m-8c-64gb is a VX1 Cloud Compute (8 vCPUs, 64.0 GiB RAM) server offered by Vultr with 8 vCPUs, 64 GiB of memory and 1 GB of storage. The pricing starts at 0.32 USD per hour.
8 vCPU
64 GiB Memory
1 GB Storage
Spare SCore
14,449
(All-cores)
3,616
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-8c-64gb
Description
VX1 Cloud Compute (8 vCPUs, 64.0 GiB RAM)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
40.75
Status
active
Observed At
2026-09-03T20:37:29.604164

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 0.32 USD/h
Atlanta (US) / atl
- 0.32 USD/h
New Jersey (US) / ewr
- 0.32 USD/h
London (GB) / lhr
- 0.32 USD/h
Milan (IT) / mxp
- 0.32 USD/h
Tokyo (JP) / nrt
- 0.32 USD/h
Chicago (US) / ord
- 0.32 USD/h
Seattle (US) / sea
- 0.32 USD/h
Sydney (AU) / syd
- 0.32 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
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
      7168 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 database and caching workloads.

      Memory OptimizedGeneral Purpose

      The Vultr vx1-m-8c-64gb is a memory-optimized virtual server from the VX1 Cloud Compute family, featuring 8 dedicated vCPUs powered by an AMD EPYC x86_64 processor with 4 physical cores and a 2.0 GHz clock speed. It is equipped with 64.0 GB of RAM, yielding a high resource density of 8.0 GB per core, while local storage is limited to 1 GB of network-attached storage. Performance benchmarks highlight top-tier single-core CPU execution, single-threaded compression, and text processing, alongside average multi-core and memory bandwidth capabilities. Lacking a GPU, it is not designed for heavy parallel acceleration. This configuration is highly suitable for memory-intensive workloads, including database operations, caching layers, and text processing pipelines that benefit from dedicated CPU allocation and a generous memory footprint without requiring extensive local disk space.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.01Score
      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) 1,899,582 ops/sec 1,917,397 ops/sec 0.991 50.00% 50.00% -0.45%
      Redis RPS (pipeline=16, SET) 10,548,623 ops/sec 11,681,410 ops/sec 0.903 20.00% 20.00% -2.02%
      PassMark Memory Mark (composite) 2,687 2,418 1.11 10.00% 10.00% +1.05%
      Memory bandwidth (read, 16 MB ~ L3) 93,048 MB/sec 108,140 MB/sec 0.86 10.00% 10.00% -1.50%
      PassMark single-thread CPU 3,621 Mops/s 2,365 Mops/s 1.53 10.00% 10.00% +4.34%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,971

      Geekbench Multi-Core

      Score: 7,471

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 18459
      Compression
      		 194987
      Encryption
      		 10256
      Extended Instructions
      		 15609
      Floating Point Maths
      		 31204
      Integer Maths
      		 51180
      Physics
      		 2094
      Prime Numbers
      		 123
      Single Threaded
      		 3621
      String Sorting
      		 24891

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2687
      Database Operations
      		 5604
      Memory Latency
      		 82
      Memory Read Cached
      		 32653
      Memory Read Uncached
      		 30626
      Memory Write
      		 31373

      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 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-8c-64gb FAQs