Lead the deployment of AI
NVIDIA H100
Enhance GPU cloud computing performance and comprehensively optimize AI training and inference
AI Acceleration Core - NVIDIA H100 Tensor Core GPU
Built around the Hopper architecture, it provides the strongest computing power for generative AI, LLM, and high-performance computing.
Hopper™ architecture
Based on the Hopper™ architecture, it offers up to 30 times faster performance than the previous generation.
Transformer engine
Built-in Transformer engine, tailored for large language models (LLM) and generative AI.
Supports mega-level parameters
Supports training and inference with mega-parameters, accelerating the entire process of AI model development and deployment.
Enterprise-grade cloud computing, combining ultimate performance and elasticity.
Virtual computing combined with virtual disk services makes AI computing simpler, faster, and more secure.
Performance and flexibility
- Rapid deployment: The interface is simple and the application can be launched in minutes.
- CPU/GPU optimization: Provides dedicated instances and multiple sizing options to ensure stable performance.
- Flexible specifications: The host specifications and disk capacity can be adjusted according to needs.
Safety and stability
- Cloud firewall and OS isolation: a multi-layered protection architecture to ensure data and application security.
- Real-time monitoring and alerts: Proactive alerts for abnormal access; real-time monitoring of CPU, memory, and network usage.
- Detailed logs and audit trails: Completely record operational activities, improving monitorability and compliance.
Storage and expansion
- High-performance block storage: SSD support, scalable capacity, ensuring data persistence.
- Image file migration support: High environmental portability, facilitating transfer between different environments.
- Local Data Centers: Data centers located in Taiwan highly meet the sensitive requirement of keeping data within the country.
Flexible management and cost optimization
- Self-managed environment: Users can configure network and environment parameters according to their needs.
- Elastic computing architecture integration: Utilizing load balancing to build the most suitable computing architecture.
- Energy-saving billing mode: billed by the hour, low burden; the host can be temporarily shut down when not in use to reduce costs.
AI accelerates applications, from idea to practice.
Provides complete cloud ecosystem support, making AI deployment simple.
Cloud GPUs: Rent and Use Immediately
- Suitable for short-term AI training and inference tasks
- Flexible billing, quick activation
Dedicated GPU cluster
- Provide dedicated cloud resources and flexible deployment
- Supporting long-term projects and high-performance requirements
Model fine-tuning service
- Supports FP8 precision and fourth-generation Tensor Cores
- Fine-tune AI models using proprietary enterprise data to improve customized performance.
AI Integration Platform
- Supports model training, inference, and RAG architecture development.
- Provides localized FFM/AI Hub model services to facilitate rapid deployment of enterprise AI applications.
Free Consultation Service
Contact Taiwan AI Cloud experts to learn about and start using the solution that suits you.