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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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Model Hub
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Get Started
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Detailed instructions
- Log in to the Portal page
- Model List
- Model Details
- Create Model
- Edit Model
- Delete Model
- Create Version
- Update version (v1.1)
- Delete version
- Upload file/ Download file
- Delete file
- Add share
- Update share
- Delete share
- Clone model (v1.1)
- Base model (v1.1)
- Create organization (v1.1)
- View/Update organization (v1.1)
- Model deployment (v1.1)
- Model catalog (v1.1)
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Model
How does it work?
How does it work?
Step 1. Pick a Base Model from the Model Catalog
- Search the model (e.g.,
"Llama-3.2-1B"for NLP,"Qwen2-VL-72B"for vision). - These models already learned general representations.
Step 2. Launch Fine-tuning
- Use selected model to start fine-tuning
Step 3. Push Fine-tuned Model Back to the Hub
- After training, you upload your fine-tuned model to the hub.
- It gets a new version ID and can be shared with collaborators (or kept private).
Step 4. Use Anywhere
- Once fine-tuned, you can download the model by SDK.
- This ensures reproducibility and easy deployment.
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