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GPU Infrastructure

GPU data centers worldwide,
ready for your compute needs

From a 1,000 GPU B300 cluster to H100 capacity available now, KONST draws on its own data center deployment experience across Taiwan, Asia, and Europe. We help you choose the right location, configuration, and commercial terms.

3,856

GPUs delivered

363

Compute nodes

2.20

Starting rate in USD/hr/GPU

Global AIDC locations and available GPU systems

Choose a site based on training scale, data residency, and latency requirements

NVIDIA B300

AI training · Inference · HPC

From $4.25

USD/hr/GPU

Scale
128 nodes · 1,024 GPUs
GPU memory
Standard B300 configuration
CPU
Dual Intel 6776P
System memory
DDR5 3TB / 4TB
GPU Fabric
800Gbps
Cooling
Direct liquid cooling
Location
Czech Republic
Contract term
5 years
Availability
About 7 months after signing

NVIDIA H100 80G

AI training · Inference · LLM

From $2.30

USD/hr/GPU

Scale
3 nodes · 24 GPUs
GPU memory
80GB per GPU · 1.92TB total
CPU
2x AMD EPYC 9654
System memory
1,024GB DDR5
GPU Fabric
Optional 400G
Cooling
Air cooling
Location
New Taipei
Contract term
1 or 3 years
Availability
Available now

NVIDIA H100

AI training · Inference · HPC

From $2.20

USD/hr/GPU

Scale
3 nodes · 24 GPUs
GPU memory
80GB per GPU · 640GB per node
CPU
Dual EPYC / Xeon 4th Gen
System memory
1.5TB DDR5
GPU Fabric
400G Ethernet
Cooling
Air cooling
Location
Chiba, Japan
Contract term
36 months
Availability
Targeting mid September 2026

NVIDIA H200

Training · Inference · Rendering · CAD

From $2.88

USD/hr/GPU

Scale
37 nodes · 296 GPUs
GPU memory
141GB per GPU · About 41.7TB total
CPU
2x AMD EPYC 9374F
System memory
1.5TiB
GPU Fabric
3x ConnectX-7
Cooling
Air cooling
Location
Sweden
Contract term
12, 24, or 36 months
Availability
Proof of concept by late November 2026

NVIDIA B300

AI training · HPC

From $5.20

USD/hr/GPU

Scale
64 nodes · 512 GPUs
GPU memory
Standard B300 configuration
CPU
2x Intel Xeon 6767P
System memory
3TB DDR5 6400
GPU Fabric
CX8 x8 embedded
Cooling
To be confirmed
Location
Sydney, Australia
Contract term
5 years
Availability
November 2026

NVIDIA B300 SXM

LLM pretraining · Inference · HPC

From $4.55

USD/hr/GPU

Scale
128 nodes · 1,024 GPUs
GPU memory
288GB per GPU · 288TB total
CPU
2x Intel Xeon 6767P
System memory
2,048GB
GPU Fabric
800Gbps RoCE v2
Cooling
To be confirmed
Location
Portugal
Contract term
3 or 5 years
Availability
November 2026

Rates are reference starting prices per GPU hour and vary by contract term, memory configuration, and payment structure. The city, data center name, tier rating, or contracting entity for some sites is still being confirmed and will be disclosed in the contract.

Side by side

Compare two data centers

Select two sites to compare specifications and commercial terms

NVIDIA B300

From $4.25USD/hr/GPU

NVIDIA H100 80G

From $2.30USD/hr/GPU

Location

Czech Republic

New Taipei

Location / code

CZ-Brno-B300

TW-Linkou-H100

Scale

128 nodes · 1,024 GPUs

3 nodes · 24 GPUs

GPU memory

Standard B300 configuration

80GB per GPU · 1.92TB total

CPU

Dual Intel 6776P

2x AMD EPYC 9654

System memory

DDR5 3TB / 4TB

1,024GB DDR5

GPU Fabric

800Gbps

Optional 400G

Cooling

Direct liquid cooling

Air cooling

Contract term

5 years

1 or 3 years

Availability

About 7 months after signing

Available now

Primary workloads

AI training · Inference · HPC

AI training · Inference · LLM

Capability

From AIDC site selection to 24/7 operations
Clear specifications and efficient delivery

01

Site and specification planning

We compare GPU Fabric, cooling, and expansion limits across six data centers against your training scale, data residency, and latency needs, then recommend a practical deployment plan.

02

From proof of concept to delivery

We arrange hardware trials and site visits. Some proof of concept fees can be credited after contract signing, with options ranging from delivery in 7 days to a 1,000 GPU cluster in T+7 months.

03

Operations and SLA

We provide 24/7 monitoring and tiered support, with a 4 hour response and 24 hour replacement for P0 incidents, an SLA of up to 99.5%, and warranties of up to 3 years.

Process

Four steps from requirements to launch

Each stage has clear deliverables and timing, so budget and engineering schedules can be planned together.

Discovery

Align workloads and specifications

Confirm model scale, data residency requirements, and budget, then shortlist 1 to 2 data centers.

Proof of concept

Hardware testing and site visit

Test an 8 GPU node or visit the site to validate throughput, networking, and operating procedures.

Contract

Commercial terms and payment structure

Plan the contract term and payment structure around cash flow. Payment terms are assessed for each project.

Launch

Deployment, acceptance, and operations handoff

After deployment and acceptance, the environment moves into 24/7 monitoring and its warranty and SLA take effect.

Ready to make better use of your compute capacity?

Whether you need a custom hybrid colocation setup or large scale Bare Metal scheduling,KONST specialists can help you clarify the requirements.

Contact sales