AI cloud computing power

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!

A cloud platform specifically designed for AI development and deployment.

It has an intuitive and simple user interface

Like a mobile app, quickly activate GPU computing power.

Assisting businesses and educational institutions in quickly launching AI

Comparison of competing products

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.

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:

  • The model training time was reduced from 8.5 hours to 1 hour.
  • Costs reduced by 60% (from 2.6 million to 800,000 per month)
  • We retain our own resources while supporting remote partners to share the platform.

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:

  • Training process shortened by 50%, model deployment faster
  • Freely switch between three GPU tasks to enhance development flexibility.
  • It saves 40% on costs compared to building your own, eliminates the need to stock up on cards, and avoids long queues.

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:

  • Standardizing the design process improves efficiency by more than 2 times.
  • Designers can generate custom illustration style models in batches.
  • Monthly costs are less than 1/3 of those of a self-built data center, and no equipment maintenance is required.

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:

  • Private deployment completed within three weeks, supporting cross-departmental model training.
  • Successfully imported customer service AI and intelligent risk control model
  • All data processing tasks are executed within the intranet, ensuring data security and compliance.

Experience efficient and secure cloud computing services

We offer the service at 1/3 of the market price.No server room required, ready to use right out of the box, local supportin Taiwan