We possess hardware manufacturing technology and provide cloud services in conjunction with software.
You only need one window to solve all your AI implementation needs!
Comparison of competing products
Patentaiwan | |||
|---|---|---|---|
| Cloud platform type | AI cloud | Universal Cloud | Free market |
| Supported models | H100 / H200 / A100 / L40S / 4090 /6000Ad | A10 / A100 / T4 / H100 (partial area) | H100 / H200 / B200 / L40S / 4090 /6000Ada |
| Operation difficulty | Simple | medium | medium |
| Do you own your own machines? | |||
| Is there technical support? |
Which type of cloud is right for me?
public cloud services
(Public Cloud)
It is an open service, allowing any enterprise or individual to rent GPU computing power as needed.
Managed Cloud
(Managed Cloud)
Customers who do not have their own physical data center can host their GPU hardware and operations and maintenance to our software domain, reducing equipment investment and technical management costs.
Hybrid cloud
(Hybrid Cloud)
When an enterprise's hybrid cloud capabilities are limited, it can flexibly connect to our software domain public cloud to supplement its computing and platform functions. Critical data can then be stored in a dedicated hybrid cloud, balancing security and scalability.
Private cloud
(Private Cloud)
We meet the highest security and computing needs of enterprises, and deploy the management layer in a private cloud, with technical support and maintenance provided by our software domain specialist team, achieving a lean asset and high efficiency.
Why choose us?
Diverse models and transparent pricing make this the most suitable solution for quick startup.
It offers a complete selection of GPU models, matching resources according to different task requirements, and charges on an hourly basis with transparent pricing. No contract is required, and prices start from NT$12 per hour, allowing you to easily control costs and maintain flexibility.
| GPU Model | GPUs | GPU RAM | vCPUs | RAM | Storage | Price/H |
|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4090 | 1 | 24GB | 10 | 42 GB | 100 GB | 3.900 Credits |
| NVIDIA H100 SXM5 | 1 | 80GB | 16 | 224 GB | 500 GB | 35.000 Credits |
| NVIDIA L40 PCle | 1 | 48GB | 20 | 80 GB | 100 GB | 10.000 Credits |
The platform comes pre-loaded with popular open-source images, allowing for immediate training upon startup.
We have pre-loaded the most commonly used model training and application images for AI developers, such as PYTORCH, TENSORFLOW, RAG, and LLM inference. Alternatively, a blank environment can be freely configured to meet advanced needs.

Four core AI cloud functions enable one-click operation for efficient task completion.
All features are designed based on the AI user workflow to help users get started quickly and reduce costs.
AUTO DEPLOY
Automated deployment of AI tasks (0-1)
The cloud platform intelligently allocates computing power, automatically turning machines on and off according to usage scenarios, allowing AI tasks to start instantly without wasting resources.
AUTO SCALING
Elastic expansion and contraction mechanism (1-10)
The number of machines can be automatically adjusted according to computing power demand, supporting elastic expansion during peak periods and automatic shutdown during off-peak periods, thereby reducing idle costs.
SNAPSHOTS
Task snapshot backup
Tasks can be paused and saved at any time, and the environment can be quickly restored after disconnection or shutdown, so you don't have to spend money on long-term operation to avoid interruption.
MESH CLUSTERING
Multi-card multi-machine training
Easily connect multiple GPU machines to support large models and distributed training without manual setup, resulting in higher development efficiency.
AI applications are no longer out of reach.
We help you integrate hardware, cloud platforms, and tool environments, making AI teaching, development, and deployment as simple as operating a mobile phone.
Image generation training
Supplementary Education Publishing – Textbook Illustrations
Game and animation company – Character design
Manufacturing – Assembly Simulation and Technical Drawing Generation
Language model training or fine-tuning
Customer service robot developer – Semantic understanding
Banking and Securities Industry – Internal Q&A / Legal Compliance Summary
Voice assistant development
Multimodal integration
AI Virtual Human Development – Combining Voice and Facial Expressions
Manufacturing – Visual + Voice Recognition Interaction System
Interactive advertising media installations
Instant translation / speech processing
Cross-border customer service providers
Translation innovation
Online language teaching platform
AI teaching / model training experiments
University Professor
AI LAB students
Medical Data Research Team
Biomedical data processing / drug development
Pharmaceutical Industry
Medical Image Analysis Team
Biotechnology R&D
Application case sharing
Well-known Biomedical Group
Gene alignment and protein sequence processing
Cloud type
Hybrid cloud
Pain points:
Existing GPUs cannot handle peak tasks, and research queuing wastes time.
Results:
New virtual human company
Multimodal AI Virtual Human Training and Deployment
Cloud type
Hybrid cloud
Pain points:
Multimodal tasks require different GPUs, and switching between them on traditional machines is cumbersome.
Results:
Taiwan's largest cram school group
Specialized training for image generation in supplementary teaching materials
Cloud type
Managed Cloud
Pain points:
Incompatible open-source model style, high cost of outsourced illustrations
Results:
Well-known banks
Internal AI Transformation and Customer Service Language Model Training
Cloud type
Private cloud
Pain points:
Due to the sensitive nature of the legally required data, public cloud services are not permitted, and the IT team is limited.
Results:
