vbm-256c-3072gb-8-mi325x-gpu by Vultr
vbm-256c-3072gb-8-mi325x-gpu is a Bare Metal NVMe (256 vCPUs, 3072.0 GiB RAM, 28608 GB NVMe, 8xMI325X 256 GiB VRAM) server offered by Vultr with 256 vCPUs, 3072 GiB of memory and 28.6 TB of storage.
256 vCPU
3072 GiB Memory
28.6 TB Storage
8 GPU
Spare SCore
-
(All-cores)
(All-cores)
-
(Single-core)
(Single-core)
Benchmark data is currently unavailable for this server. View this server's measurement status , or visit the general Benchmark Coverage page to learn more about possible causes.
Specifications
Server Metadata
Vendor ID | vultr |
Name | vbm-256c-3072gb-8-mi325x-gpu |
Description | Bare Metal NVMe (256 vCPUs, 3072.0 GiB RAM, 28608 GB NVMe, 8xMI325X 256 GiB VRAM) |
Family | Bare Metal NVMe |
Hw Virt | - |
Status | active |
Observed At | 2026-07-20T06:20:14.834932 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 256 |
CPU Allocation | Dedicated |
CPU Cores | 128 |
CPU Speed | 3.3 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
CPU Family | EPYC |
CPU Model | 9575F |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 3 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 256 GiB |
GPU Memory Total | 2 TB |
GPU Manufacturer | AMD |
GPU Family | CDNA3 |
GPU Model | MI325X |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 28608 GB |
Storage Type | nvme ssd |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 15360 GB/month |
IPv4 | 1 |
Server Description
A bare-metal accelerator platform featuring eight AMD CDNA3 GPUs, 2048 GB VRAM, and 28608 GB of local NVMe storage.
GPU AcceleratedMemory OptimizedStorage & Database
Vultr vbm-256c-3072gb-8-mi325x-gpu is a bare-metal server equipped with 256 vCPUs powered by AMD EPYC 9575F processors running at 3.3 GHz. The system features 3072.0 GB of system memory and 28608 GB of local NVMe SSD storage. Acceleration is driven by eight AMD CDNA3 MI325X GPUs, providing a total of 2048 GB of VRAM. This hardware profile is engineered for high-density parallel computing, offering massive memory capacity and local storage throughput. The server is designed for workloads such as large language model training, distributed deep learning, and high-performance scientific simulations.
Economics
Alternatives
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| vbm-8c-132gb | 16 | 128 GiB | 0 |
| vbm-8c-132gb-v2 | 16 | 128 GiB | 0 |
| vbm-24c-384gb-amd5 | 48 | 384 GiB | 0 |
| vbm-72c-480gb-gh200-gpu | 72 | 480 GiB | 1 |
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