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vbm-112c-2048gb-8-a100-gpu by Vultr

vbm-112c-2048gb-8-a100-gpu is a Bare Metal NVMe (224 vCPUs, 2048.0 GiB RAM, 3840 GB NVMe, 8xA100 80 GiB VRAM) server offered by Vultr with 224 vCPUs, 2048 GiB of memory and 3.84 TB of storage. The pricing starts at 11.92 USD per hour.
224 vCPU
2048 GiB Memory
3.84 TB Storage
8 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vbm-112c-2048gb-8-a100-gpu
Description
Bare Metal NVMe (224 vCPUs, 2048.0 GiB RAM, 3840 GB NVMe, 8xA100 80 GiB VRAM)
Family
Bare Metal NVMe
Hw Virt
-
Status
active
Observed At
2026-07-20T10:53:56.459837

Availability

REGION / IDSPOTONDEMAND
New Jersey (US) / ewr
11.92 USD/h -
Frankfurt (DE) / fra
11.92 USD/h -

Processor

vCPUs
224
CPU Allocation
Dedicated
CPU Cores
112
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8480+

System Resources and Accelerators

MEMORY
Memory Amount
2 TB
GPU
GPU Count
8
GPU Memory Min
80 GiB
GPU Memory Total
640 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A100
GPUs
    STORAGE
    Storage Size
    3840 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      15360 GB/month
      IPv4
      1

      Server Description

      A bare metal server featuring eight NVIDIA A100 GPUs, 224 vCPUs, and two terabytes of system memory for parallel computing.

      GPU AcceleratedMemory OptimizedCompute Optimized

      Vultr vbm-112c-2048gb-8-a100-gpu is a bare metal server featuring dedicated Intel Xeon 8480+ processors with 112 physical cores and 224 vCPUs on the x86_64 architecture. Operating at a clock speed of 2.0 GHz, the system is equipped with 2048.0 GB of system memory, yielding 9.14 GB per core. Acceleration is provided by eight NVIDIA A100 GPUs from the Ampere family, totaling 640 GB of VRAM. Local storage includes 3840 GB of NVMe SSD capacity, and the server comes with one complimentary public IPv4 address. This high-density hardware configuration eliminates virtualization overhead, making it suitable for resource-intensive workloads such as deep learning training, data science jobs, and large-scale database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

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      vbm-112c-2048gb-8-a100-gpu FAQs