vcg-mi355x-252c-2872g-2304vram by Vultr
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | vultr |
Name | vcg-mi355x-252c-2872g-2304vram |
API Reference Object | - |
Description | Dedicated Metal GPU (252 vCPUs, 2872.0 GiB RAM, 14336 GB NVMe, 8xMI355X 288 GiB VRAM) |
Family | Dedicated Metal GPU |
Hw Virt | - |
Status | inactive |
Observed At | 2026-10-19T08:18:10.601628 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 252 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 3 TB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 8 |
Accelerator Memory Min | 288 GiB |
Accelerator Memory Total | 2 TB |
Accelerator Type | GPU |
Accelerator Manufacturer | AMD |
Accelerator Family | CDNA4 |
Accelerator Model | MI355X |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 14336 GB |
Storage Type | nvme ssd |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 15360 GB/month |
IPv4 | 1 |
Server Description
A dedicated bare-metal server featuring eight AMD CDNA4 GPUs, massive system memory, and high-capacity NVMe storage for parallel computing.
Vultr vcg-mi355x-252c-2872g-2304vram is a Dedicated Metal GPU server built on the x86_64 AMD CPU architecture, featuring 252 dedicated vCPUs and 2872.0 GB of system memory. The server is equipped with eight AMD MI355X GPUs based on the CDNA4 architecture, providing a total of 2304 GB of VRAM to handle intensive parallel computing tasks. Local storage is supported by a 14336 GB NVMe SSD array, ensuring high-throughput data access. This bare-metal configuration offers a highly consolidated resource footprint, making it qualitatively cost-efficient for deployments that require massive memory and accelerator density without the overhead of multi-node clustering. It is designed for demanding workloads including large-scale artificial intelligence model training, deep learning, complex data science simulations, and high-performance computing tasks.
Economics
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