vx1-g-48c-192g by Vultr

vx1-g-48c-192g is a VX1 Cloud Compute (48 vCPUs, 192.0 GiB RAM, 1 GB NVMe) server offered by Vultr with 48 vCPUs, 192 GiB of memory and 1 GB of storage. The pricing starts at 1.44 USD per hour.
48 vCPU
192 GiB Memory
1 GB Storage
Spare SCore
88,674
(All-cores)
3,699
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vx1-g-48c-192g
API Reference Object
-
Description
VX1 Cloud Compute (48 vCPUs, 192.0 GiB RAM, 1 GB NVMe)
Family
VX1 Cloud Compute
Hw Virt
Average Time To Start
72.33
Status
active
Observed At
2026-10-19T08:18:10.601959

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 1.44 USD/h
Atlanta (US) / atl
- 1.44 USD/h
New Jersey (US) / ewr
- 1.44 USD/h
Tokyo (JP) / nrt
- 1.44 USD/h
Chicago (US) / ord
- 1.44 USD/h
Seattle (US) / sea
- 1.44 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
24
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 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
      9216 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC instance balancing forty-eight vCPUs and substantial memory capacity with minimal local storage for decoupled computing workloads.

      General PurposeCompute Optimized

      Vultr vx1-g-48c-192g is a dedicated virtual server from the VX1 Cloud Compute family, featuring 48 vCPUs on an AMD EPYC x86_64 architecture with 24 physical cores. It is configured with 192.0 GB of RAM, yielding a balanced 4.0 GB per core, but features a highly restricted 1 GB local NVMe SSD. In benchmark evaluations, the instance delivers top-tier single-core CPU and large-block memory bandwidth performance, alongside strong multi-core processing capabilities. Hardware-enabled instruction sets like AVX-512 and VAES accelerate cryptographic and vector calculations. Due to the minimal local storage, this server is best utilized for workloads that decouple compute from storage, such as software compilation, static web serving, memory-bound general-purpose applications, and CPU-based LLM text generation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      4.3Score
      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) 11,568,130 ops/sec 1,917,050 ops/sec 6.3 50.00% 50.00% +150.00%
      Redis RPS (pipeline=16, SET) 62,118,127 ops/sec 11,661,818 ops/sec 5.2 20.00% 20.00% +39.00%
      PassMark Memory Mark (composite) 2,941 2,417 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 534,170 MB/sec 108,361 MB/sec 4.8 10.00% 10.00% +17.00%
      PassMark single-thread CPU 3,743 Mops/s 2,365 Mops/s 1.5 10.00% 10.00% +4.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 2,607

      Geekbench Multi-Core

      Score: 22,510

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 83411
      Compression
      		 1176929
      Encryption
      		 63113
      Extended Instructions
      		 91287
      Floating Point Maths
      		 191032
      Integer Maths
      		 313658
      Physics
      		 12658
      Prime Numbers
      		 742
      Single Threaded
      		 3743
      String Sorting
      		 148856

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2941
      Database Operations
      		 33429
      Memory Latency
      		 81
      Memory Read Cached
      		 33397
      Memory Read Uncached
      		 32009
      Memory Write
      		 32796

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

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      vx1-g-48c-192g FAQs