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vcg-b200-248c-2826g-1536vram by Vultr

vcg-b200-248c-2826g-1536vram is a Dedicated Metal GPU (248 vCPUs, 2826.0 GiB RAM, 13312 GB NVMe, 8xB200 192 GiB VRAM) server offered by Vultr with 248 vCPUs, 2826 GiB of memory and 13.3 TB of storage.
248 vCPU
2826 GiB Memory
13.3 TB Storage
8 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vcg-b200-248c-2826g-1536vram
Description
Dedicated Metal GPU (248 vCPUs, 2826.0 GiB RAM, 13312 GB NVMe, 8xB200 192 GiB VRAM)
Family
Dedicated Metal GPU
Hw Virt
-
Status
active
Observed At
2026-07-20T13:40:44.473522

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
248
CPU Allocation
Shared
CPU Architecture
x86_64
CPU Manufacturer
Intel

System Resources and Accelerators

MEMORY
Memory Amount
3 TB
GPU
GPU Count
8
GPU Memory Min
192 GiB
GPU Memory Total
2 TB
GPU Manufacturer
NVIDIA
GPU Family
Blackwell
GPU Model
B200
GPUs
    STORAGE
    Storage Size
    13312 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      15360 GB/month
      IPv4
      1

      Server Description

      A high-density GPU server featuring eight Blackwell accelerators and massive system memory for parallel computing workloads.

      GPU AcceleratedMemory OptimizedStorage & Database

      Vultr vcg-b200-248c-2826g-1536vram is a Dedicated Metal GPU server featuring an Intel x86_64 architecture with 248 vCPUs under a shared allocation model. The system is equipped with 2826.0 GB of system memory, yielding 11.4 GB of RAM per core. Its primary accelerator hardware consists of eight NVIDIA Blackwell B200 GPUs providing a total of 1536 GB of VRAM. Local storage is supported by 13312 GB of NVMe SSD capacity. While the shared CPU allocation presents a potential performance tradeoff for CPU-bound tasks, the massive GPU memory and system RAM density make this server highly efficient for large-scale parallel processing. It is designed for intensive workloads such as deep learning, large language model training, and data science jobs.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

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