vcg-a40-12c-60g-24vram by Vultr

vcg-a40-12c-60g-24vram is a Cloud GPU (12 vCPUs, 60.0 GiB RAM, 1110 GB NVMe, 0.5xA40 48 GiB VRAM) server offered by Vultr with 12 vCPUs, 60 GiB of memory and 1.11 TB of storage.
12 vCPU
60 GiB Memory
1.11 TB Storage
0.5 GPU
Spare SCore
20,624
(All-cores)
1,631
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vcg-a40-12c-60g-24vram
Description
Cloud GPU (12 vCPUs, 60.0 GiB RAM, 1110 GB NVMe, 0.5xA40 48 GiB VRAM)
Family
Cloud GPU
Hw Virt
Average Time To Start
172
Status
inactive
Observed At
2026-09-03T20:37:29.603592

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
12
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
24 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
16 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, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, cpuid_fault, ssbd, ibrs, ibpb, ibrs_enhanced, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, arat, pku, ospke, avx512_vnni, arch_capabilities
Ecpus
12.6
Scalability
210

System Resources and Accelerators

MEMORY
Memory Amount
60 GiB
Memory Amount Actual
60 GiB
GPU
GPU Count
0.5
GPU Memory Min
24 GiB
GPU Memory Total
24 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A40
GPUs
    STORAGE
    Storage Size
    1110 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      10240 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A GPU-accelerated instance featuring a fractional NVIDIA A40 GPU, dedicated Intel Xeon vCPUs, and fast local NVMe SSD storage.

      GPU AcceleratedGeneral PurposeStorage & Database

      Vultr vcg-a40-12c-60g-24vram is a Cloud GPU server featuring an Intel Xeon x86_64 processor with 12 dedicated vCPUs, 6 physical cores, and 60.0 GB of system memory. It includes a fractional NVIDIA Ampere A40 GPU providing 24 GB of VRAM, alongside a 1110 GB NVMe SSD. Benchmark results show average performance, with a stress-ng multi-core score of 20624.31 and a Redis SET throughput of 22.59 million operations per second. For machine learning, the server processes a 135M parameter model efficiently, though prompt processing performance drops to a weak 23.45 tokens per second on a 7B model. This server offers a qualitatively cost-effective entry point for GPU-accelerated tasks, making it suitable for small-scale LLM inference, database operations, and general-purpose workloads requiring dedicated GPU resources and local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.19Score
      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) 2,384,515 ops/sec 1,917,397 ops/sec 1.24 50.00% 50.00% +11.40%
      Redis RPS (pipeline=16, SET) 14,181,822 ops/sec 11,681,410 ops/sec 1.21 20.00% 20.00% +3.89%
      PassMark Memory Mark (composite) 2,521 2,418 1.04 10.00% 10.00% +0.39%
      Memory bandwidth (read, 16 MB ~ L3) 138,092 MB/sec 108,140 MB/sec 1.28 10.00% 10.00% +2.50%
      PassMark single-thread CPU 2,262 Mops/s 2,365 Mops/s 0.957 10.00% 10.00% -0.44%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,493

      Geekbench Multi-Core

      Score: 9,605

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20614
      Compression
      		 261673
      Encryption
      		 7232
      Extended Instructions
      		 22214
      Floating Point Maths
      		 45296
      Integer Maths
      		 59181
      Physics
      		 2910
      Prime Numbers
      		 185
      Single Threaded
      		 2262
      String Sorting
      		 35593

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2521
      Database Operations
      		 5564
      Memory Latency
      		 55
      Memory Read Cached
      		 22540
      Memory Read Uncached
      		 10794
      Memory Write
      		 10616

      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

      INSTANCEvCPUsMEMORYGPUs
      vcg-a40-1c-5g-2vram 15 GiB1⁄24
      vcg-a16-2c-8g-2vram 28 GiB⅛
      vcg-a16-2c-16g-4vram 216 GiB¼
      vcg-a16-3c-32g-8vram 332 GiB½
      vcg-a40-6c-30g-12vram 630 GiB¼
      vcg-a16-12c-128g-32vram 12128 GiB2
      vcg-a16-24c-256g-64vram 24256 GiB4

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      vcg-a40-12c-60g-24vram FAQs