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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
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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.
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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
Why Model Hub?
Why Model Hub?
1. Centralized Access to Models
- Without a hub, everyone would have to hunt for models on GitHub repos, random blogs, or papers.
- Model Hub is a single catalog where you can:
- Search models by task (
text-classification,speech-to-text,image-segmentation). - Compare architectures and benchmarks.
- Reuse models with just one line of code.
- Search models by task (
2. Reusability & Efficiency
- Training large models from scratch is expensive.
- Hubs let you reuse pretrained checkpoints, so you only need to fine-tune.
3. Collaboration & Sharing
- Teams can push fine-tuned models to a hub → other team members can pull them instantly.
- This works for code: version control, forks, and community contributions.
4. Deployment Ready
- That means once your model is in the hub, you can:
- Deploy it on cloud infrastructure.
- Use it via REST APIs.
- Scale it without managing servers.
5. Governance & Version Control
- Hubs track different versions of models.
- You know exactly which checkpoint was used in production (important for MLOps & audits).
- You can mark models as public, private, or restricted.
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