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vcg-a40-6c-30g-12vram by Vultr

vcg-a40-6c-30g-12vram is a Cloud GPU (6 vCPUs, 30.0 GiB RAM, 550 GB NVMe, 0.25xA40 48 GiB VRAM) server offered by Vultr with 6 vCPUs, 30 GiB of memory and 550 GB of storage. The pricing starts at 0.432 USD per hour.
6 vCPU
30 GiB Memory
550 GB Storage
0.25 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vcg-a40-6c-30g-12vram
Description
Cloud GPU (6 vCPUs, 30.0 GiB RAM, 550 GB NVMe, 0.25xA40 48 GiB VRAM)
Family
Cloud GPU
Hw Virt
-
Status
active
Observed At
2026-07-20T21:16:54.303508

Availability

REGION / IDSPOTONDEMAND
Sydney (AU) / syd
- 0.432 USD/h

Processor

vCPUs
6
CPU Allocation
Shared
CPU Architecture
x86_64
CPU Manufacturer
Intel

System Resources and Accelerators

MEMORY
Memory Amount
30 GiB
GPU
GPU Count
0.25
GPU Memory Min
12 GiB
GPU Memory Total
12 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A40
GPUs
    STORAGE
    Storage Size
    550 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      6144 GB/month
      IPv4
      1

      Server Description

      A fractional GPU instance offering shared Intel processors and dedicated VRAM for entry-level parallel computing and machine learning workloads.

      GPU AcceleratedBurstable & Budget

      Vultr vcg-a40-6c-30g-12vram is an x86_64 Cloud GPU instance featuring 6 shared Intel vCPUs, 30.0 GB of system memory, and 550 GB of local NVMe SSD storage. The server is equipped with a fractional NVIDIA Ampere A40 GPU, delivering 0.25 of the physical GPU and 12 GB of dedicated VRAM. This resource configuration provides a cost-effective entry point for GPU-accelerated workloads by utilizing shared CPU allocation and fractional hardware partitioning. The instance is designed for workloads that require GPU acceleration but do not demand a full dedicated card, such as small-scale machine learning inference, CUDA-based development, and lightweight graphics processing. It includes one complimentary public IPv4 address. The shared CPU allocation and fractional GPU resources represent a performance tradeoff, meaning the instance is not intended for sustained maximum-throughput compute workloads that require dedicated physical hardware.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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      INSTANCEvCPUsMEMORYGPUs
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      vcg-a16-2c-8g-2vram 28 GiB
      vcg-a16-2c-16g-4vram 216 GiB¼
      vcg-a16-3c-32g-8vram 332 GiB½
      vcg-a40-4c-20g-8vram 420 GiB
      vcg-a16-6c-64g-16vram 664 GiB1

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      vcg-a40-6c-30g-12vram FAQs