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GPU servers, from training to inference

Dedicated GPU servers on a flat monthly rate.

Overview

GPU servers give you GPU capacity for training, inference and similar workloads.
Choose from a range of GPUs to match your workload.

GPU instances

GPU instances use MIG (Multi-Instance GPU) to share one GPU's resources among several users.

Not available yetComing soon

GPU instances are on the way. We haven't set a launch date yet.

Dedicated GPU servers

A dedicated GPU server gives you the whole GPU. Nothing is shared with other users, so there's no performance loss.

NVIDIA
RTX 4000 Ada
₩550,000/mo
GPUNVIDIA RTX 4000 Ada (20GB)
CPUAMD EPYC 7352 (24 Core)
MemoryDDR4 32GB
StorageNVMe 2TB + 2TB
Bandwidth500Mbps (Shared)
Public IP (IPv4)1
NVIDIA
RTX 4090
₩750,000/mo
GPUNVIDIA RTX 4090 (24GB)
CPUAMD EPYC 7352 (24 Core)
MemoryDDR4 32GB
StorageNVMe 2TB + 2TB
Bandwidth500Mbps (Shared)
Public IP (IPv4)1
NVIDIA
RTX 6000 Ada
₩1,300,000/mo
GPUNVIDIA RTX 6000 Ada (48GB)
CPUAMD EPYC 7352 (24 Core)
MemoryDDR4 32GB
StorageNVMe 2TB + 2TB
Bandwidth500Mbps (Shared)
Public IP (IPv4)1

For machine learning and inference workloads only. This product can't be sublet to third parties.

Prices are in Korean won (KRW) and do not follow the currency setting in the header. VAT not included.

Frequently asked questions

It depends on the GPU model. Most servers are ready within 1 to 7 days.