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Secure, unlimited storage to ensures efficiency as well as high and continuous data access demand.
Virtual server integration for 3D Rendering, AI or ML
Enhance application capacity and availability.
Access to an all-inclusive stack for AI development, driven by NVIDIA’s powerful technology!
FPT Web Application Firewall provides powerful protection for web applications
Advanced virtual server with rapid scalability
Backup and restore data instantly, securely and maintain data integrity.
Advanced virtual server with rapid scalability
Access to an all-inclusive stack for AI development, driven by NVIDIA’s powerful technology!
Enhance application capacity and availability.
Backup and restore data instantly, securely and maintain data integrity.
Recovery, ensuring quick operation for the business after all incidents and disasters.
Diverse throughput and capacity to meet various business workloads.
Secure, unlimited storage to ensures efficiency as well as high and continuous data access demand.
FPT Web Application Firewall provides powerful protection for web applications
Intelligent and Comprehensive Virtual Web Application Firewall - Security Collaboration between FPT Cloud and Penta Security.
The Next generation firewall security service
Easily store, manage, deploy, and secure Container images
Safe, secure, stable, high-performance Kubernetes platform
Provided as a service to deploy, monitor, backup, restore, and scale MongoDB databases on cloud.
Provided as a service to deploy, monitor, backup, restore, and scale Redis databases on cloud.
Provided as a service to deploy, monitor, backup, restore, and scale PostgreSQL databases on cloud.
Helps reduce operational costs by up to 40% compared to traditional BI solutions, while improving efficiency through optimized resource usage and infrastructure scaling. - Pricing
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How does it work?
How does it work?
- Prepare your data
- Needs to be clean, task-aligned, and structured.
- Example: For a chatbot, you might format data as prompt–response pairs.
- Choose a base model
- E.g., GPT-3.5 for text generation, BERT for classification, Stable Diffusion for image generation.
- Set up training strategy
- Options:
- Full fine-tuning → update all weights (expensive, rare).
- Parameter-efficient fine-tuning (PEFT) → adapters, LoRA, or prefix-tuning, which add small trainable modules on top of frozen base layers.
- Options:
- Train on your dataset
- Typically supervised learning (cross-entropy loss for text, etc.).
- The model learns patterns specific to your task.
- Evaluate and iterate
- Test on held-out data.
- Adjust hyperparameters, dataset, or approach.
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