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 last known price was 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
inactive
Observed At
2026-10-19T14:12:02.350515

Availability

REGION / IDSPOTONDEMAND
Bangalore (IN) / blr
- 0.432 USD/h
New Jersey (US) / ewr
- 0.432 USD/h
Los Angeles (US) / lax
- 0.432 USD/h
Singapore (SG) / sgp
- 0.432 USD/h
Sydney (AU) / syd
- 0.432 USD/h

Processor

vCPUs
6
CPU Allocation
Dedicated
CPU Architecture
x86_64
CPU Manufacturer
Intel

System Resources and Accelerators

MEMORY
Memory Amount
30 GiB
ACCELERATORS
Accelerator Count
0.25
Accelerator Memory Min
12 GiB
Accelerator Memory Total
12 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ampere
Accelerator Model
A40
Accelerators
    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 combining dedicated Intel processors, NVMe storage, and NVIDIA Ampere acceleration for entry-level parallel computing workloads.

      GPU AcceleratedGeneral Purpose

      Vultr vcg-a40-6c-30g-12vram is an x86_64 Cloud GPU instance designed for workloads requiring moderate GPU acceleration. It features 6 dedicated Intel vCPUs and 30.0 GB of system memory, providing a balanced 5.0 GB of RAM per core. The instance includes a fractional NVIDIA Ampere A40 GPU with a 0.25 allocation, delivering 12 GB of dedicated VRAM. Local storage is supported by a 550 GB NVMe SSD, and the instance comes with one complimentary public IPv4 address. This resource profile offers a cost-efficient entry point for parallel computing without the expense of a full GPU. It is suitable for small-scale machine learning inference, data science prototyping, and video transcoding.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

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