vx1-m-48c-384gb by Vultr

vx1-m-48c-384gb is a VX1 Cloud Compute (48 vCPUs, 384.0 GiB RAM, 1 GB NVMe) server offered by Vultr with 48 vCPUs, 384 GiB of memory and 1 GB of storage. The pricing starts at 1.92 USD per hour.
48 vCPU
384 GiB Memory
1 GB Storage
Spare SCore
88,479
(All-cores)
3,699
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-m-48c-384gb
API Reference Object
-
Description
VX1 Cloud Compute (48 vCPUs, 384.0 GiB RAM, 1 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
37
Status
active
Observed At
2026-10-18T18:38:39.790878

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
48
CPU Allocation
Dedicated
CPU Cores
24
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU L1D Cache
48 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
24 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
23.9
Scalability
49.79

System Resources and Accelerators

MEMORY
Memory Amount
384 GiB
Memory Amount Actual
384 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
      10240 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A high-density memory-optimized server featuring dedicated AMD EPYC processors for demanding in-memory databases and data processing workloads.

      Memory OptimizedGeneral Purpose

      Vultr vx1-m-48c-384gb is a memory-optimized server in the VX1 Cloud Compute family, featuring 48 dedicated vCPUs on an x86_64 AMD EPYC processor with 24 physical cores running at 2.0 GHz. Equipped with 384.0 GB of RAM, it delivers a high 8.0 GB per vCPU ratio, making it highly suitable for memory-intensive applications. The server includes a minimal 1 GB local NVMe SSD and no GPU accelerators. Benchmark results show top-tier performance in single-core and multi-core processing, software compilation, and large-block memory bandwidth. It also demonstrates strong capabilities in database operations and Redis throughput. Due to the limited local storage, this instance is best paired with external storage for workloads such as in-memory databases, caching layers, and large-scale data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      4.1Score
      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) 11,119,377 ops/sec 1,917,050 ops/sec 5.8 50.00% 50.00% +140.00%
      Redis RPS (pipeline=16, SET) 59,630,696 ops/sec 11,661,818 ops/sec 5 20.00% 20.00% +38.00%
      PassMark Memory Mark (composite) 2,510 2,417 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 535,657 MB/sec 108,361 MB/sec 4.9 10.00% 10.00% +17.00%
      PassMark single-thread CPU 3,689 Mops/s 2,365 Mops/s 1.5 10.00% 10.00% +4.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,758

      Geekbench Multi-Core

      Score: 26,198

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 82627
      Compression
      		 1172160
      Encryption
      		 62656
      Extended Instructions
      		 90664
      Floating Point Maths
      		 190769
      Integer Maths
      		 313052
      Physics
      		 12087
      Prime Numbers
      		 710
      Single Threaded
      		 3689
      String Sorting
      		 148160

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2510
      Database Operations
      		 30353
      Memory Latency
      		 100
      Memory Read Cached
      		 33243
      Memory Read Uncached
      		 30577
      Memory Write
      		 30806

      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

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      vx1-g-4c-16g 416 GiB0
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      vx1-m-4c-32g-240s 432 GiB0

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      vx1-m-48c-384gb FAQs