vx1-g-64c-256g by Vultr

vx1-g-64c-256g is a VX1 Cloud Compute (64 vCPUs, 256.0 GiB RAM, 1 GB NVMe) server offered by Vultr with 64 vCPUs, 256 GiB of memory and 1 GB of storage. The pricing starts at 1.92 USD per hour.
64 vCPU
256 GiB Memory
1 GB Storage
Spare SCore
118,019
(All-cores)
3,687
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-g-64c-256g
API Reference Object
-
Description
VX1 Cloud Compute (64 vCPUs, 256.0 GiB RAM, 1 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
35
Status
active
Observed At
2026-10-18T18:38:39.790917

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 1.92 USD/h
Atlanta (US) / atl
- 1.92 USD/h
New Jersey (US) / ewr
- 1.92 USD/h
Tokyo (JP) / nrt
- 1.92 USD/h
Chicago (US) / ord
- 1.92 USD/h
Seattle (US) / sea
- 1.92 USD/h

Processor

vCPUs
64
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
48 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 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
32
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      10240 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A dedicated multi-core processor instance with balanced memory allocation, optimized for parallel computing and high-throughput database operations.

      General PurposeCompute Optimized

      Vultr vx1-g-64c-256g is a General Purpose server from the VX1 Cloud Compute family, configured with 64 dedicated x86_64 vCPUs on an AMD EPYC processor and 256.0 GB of RAM. The CPU features 32 physical cores, a 2.0 GHz clock speed, and supports AVX-512 and AES instructions. Local storage is limited to a 1 GB NVMe SSD, requiring external storage solutions for larger datasets. In benchmark evaluations, the server achieves top-tier rankings in single-core CPU execution, large-block memory bandwidth, and software compilation. It also delivers strong multi-core performance and efficient LLM inference for small to medium models. This hardware profile is qualitatively cost-efficient for compute-heavy parallel tasks that do not require extensive local storage, making it suitable for database operations, web serving, and software development pipelines.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      5Score
      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) 14,194,401 ops/sec 1,917,050 ops/sec 7.4 50.00% 50.00% +170.00%
      Redis RPS (pipeline=16, SET) 74,992,098 ops/sec 11,661,818 ops/sec 6.2 20.00% 20.00% +44.00%
      PassMark Memory Mark (composite) 2,887 2,417 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 640,033 MB/sec 108,361 MB/sec 5.8 10.00% 10.00% +19.00%
      PassMark single-thread CPU 3,758 Mops/s 2,365 Mops/s 1.6 10.00% 10.00% +4.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,775

      Geekbench Multi-Core

      Score: 25,521

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 98888
      Compression
      		 1484632
      Encryption
      		 83116
      Extended Instructions
      		 112967
      Floating Point Maths
      		 254137
      Integer Maths
      		 416834
      Physics
      		 15315
      Prime Numbers
      		 976
      Single Threaded
      		 3758
      String Sorting
      		 187725

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2887
      Database Operations
      		 41716
      Memory Latency
      		 83
      Memory Read Cached
      		 33522
      Memory Read Uncached
      		 31667
      Memory Write
      		 32144

      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

      INSTANCEvCPUsMEMORYAccelerators
      vx1-g-2c-8g 28 GiB0
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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-g-64c-256g FAQs