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vcg-a40-4c-20g-8vram by Vultr

vcg-a40-4c-20g-8vram is a Cloud GPU (4 vCPUs, 20.0 GiB RAM, 360 GB NVMe, 0.1667xA40 48 GiB VRAM) server offered by Vultr with 4 vCPUs, 20 GiB of memory and 360 GB of storage. The pricing starts at 0.288 USD per hour.
4 vCPU
20 GiB Memory
360 GB Storage
0.1667 GPU
Spare SCore
7057
(All-cores)
1785
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vcg-a40-4c-20g-8vram
Description
Cloud GPU (4 vCPUs, 20.0 GiB RAM, 360 GB NVMe, 0.1667xA40 48 GiB VRAM)
Family
Cloud GPU
Hw Virt
Average Time To Start
77.67
Status
active
Observed At
2026-07-20T16:35:16.793899

Availability

REGION / IDSPOTONDEMAND
Frankfurt (DE) / fra
- 0.288 USD/h

Processor

vCPUs
4
CPU Allocation
Shared
CPU Cores
2
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
8 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, 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, pti, ssbd, ibrs, ibpb, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, xsaveopt, arat
Ecpus
4
Scalability
200

System Resources and Accelerators

MEMORY
Memory Amount
20 GiB
Memory Amount Actual
20 GiB
GPU
GPU Count
0.1667
GPU Memory Min
8 GiB
GPU Memory Total
8 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A40
GPUs
    STORAGE
    Storage Size
    360 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      5120 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A fractional GPU instance combining Intel processors and NVIDIA Ampere acceleration for efficient, small-scale machine learning inference and development.

      GPU AcceleratedGeneral Purpose

      Vultr vcg-a40-4c-20g-8vram is a fractional GPU instance designed for specialized workloads requiring hardware acceleration without the cost of a full GPU. It features 4 shared Intel x86_64 vCPUs running at 2.0 GHz, 20.0 GB of RAM, and a 360 GB NVMe SSD. Graphics acceleration is provided by a fractional 0.1667 NVIDIA Ampere A40 GPU with 8 GB of VRAM. Benchmark data highlights top-tier performance in LLM inference for both small and medium models, while general CPU and database operations perform in the average to weak ranges. This resource profile makes the instance highly cost-efficient for lightweight machine learning inference, model prototyping, and GPU-accelerated development, though it is less suited for heavy database operations or intensive multi-threaded CPU tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.461Score
      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) 617,106 ops/sec 1,895,870 ops/sec 0.326 50.00% 50.00% -42.90%
      Redis RPS (pipeline=16, SET) 4,325,325 ops/sec 11,503,938 ops/sec 0.376 20.00% 20.00% -17.80%
      PassMark Memory Mark (composite) 2,219 2,410 0.921 10.00% 10.00% -0.82%
      Memory bandwidth (read, 16 MB ~ L3) 103,072 MB/sec 107,331 MB/sec 0.96 10.00% 10.00% -0.41%
      PassMark single-thread CPU 2,236 Mops/s 2,363 Mops/s 0.946 10.00% 10.00% -0.55%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		7273
      Compression
      		83753
      Encryption
      		2400
      Extended Instructions
      		5705
      Floating Point Maths
      		15742
      Integer Maths
      		19643
      Physics
      		1066
      Prime Numbers
      		63
      Single Threaded
      		2236
      String Sorting
      		11564

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2219
      Database Operations
      		1916
      Memory Latency
      		51
      Memory Read Cached
      		23004
      Memory Read Uncached
      		10806
      Memory Write
      		8898

      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-a40-2c-10g-4vram 210 GiB1⁄12
      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-a16-6c-64g-16vram 664 GiB1

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      vcg-a40-4c-20g-8vram FAQs