Dedicated GPU servers for AI
From H100 to RTX, use an entire GPU server to yourself. With no virtualization overhead, you get the full training and inference performance.
H100 ~ RTX
GPU lineup
Dedicated
Single tenant
NVLink
High-speed interconnect
Dedicated GPU performance, shared with no one
Use the entire GPU server to yourself. With GPU and memory never shared and no virtualization overhead, bare metal delivers the full performance of your training and inference workloads.
Single-tenant bare metal
The GPU and host are entirely yours — consistent performance with no noisy-neighbor interference.
Ready to run
Images with the major frameworks and drivers let you start training right away, with no time spent on setup.
Reliable infrastructure
Operated 24/7 on the power, cooling and redundant network of a Tier 3 data center.
GPU Lineup
Choose the GPU that fits your workload. Per-GPU pricing; multi-GPU builds are also available.
L40S / RTX 6000 Ada
- VRAM
- 48GB
- Use case
- Inference, graphics & render
- Host
- 32 Core · 256GB
₩1,500,000/mo
Request consultationH100 / H200
- VRAM
- 80GB · 141GB
- Use case
- Large-scale training & LLM
- Host
- Dual EPYC · 1TB
₩5,500,000/mo
Request consultationListed prices are estimates per GPU per month, VAT excluded. Quotes may vary by GPU supply, configuration and contract term.
Built for these workloads
LLM & generative AI training
Use multiple GPUs and high-bandwidth interconnect to train large language and generative models.
Inference serving
Deploy trained models as real-time services with low latency and steady throughput.
Fine-tuning & RAG
Fine-tune models on your own data and build RAG pipelines.
Video & 3D rendering
Accelerate render farms, simulation, and video processing workloads.
GPU operations that don't stop
From high-density power and cooling to networking, incident response, and data isolation — operated so your GPUs deliver peak performance reliably.
Power delivery and precision cooling matched to high-wattage GPUs keep them running at full load without throttling.
High-bandwidth uplinks and redundant paths for moving large datasets.
24/7 monitoring with hardware hot-swap and spare capacity minimize downtime.
Single-tenant physical isolation with access control and network security to protect your data.
Key features
Dedicated GPU
GPUs are passed through in full, giving you complete performance with no sharing.
High-speed interconnect
Multi-GPU builds use NVLink to secure inter-GPU bandwidth.
NVMe storage
Fast NVMe reduces bottlenecks when loading large datasets.
Power & cooling
Power delivery and cooling matched to high-wattage GPUs for stable operation.
Framework images
CUDA, drivers and major frameworks such as PyTorch come ready.
24/7 support
Hardware incident response and operations support, year-round.
Need a GPU server?
Tell us your workload and the GPUs you need, and we'll propose the optimal build and quote.