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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.
System Monitoring Solution anywhere, anytime, anyplatform
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 Fine-Tuning
System Metrics
System Metrics
System metrics are collected to monitor the hardware and infrastructure performance during model training and evaluation. These metrics help identify resource bottlenecks, optimize hardware utilization, and ensure stable and efficient training processes.
| Metric | What it evaluates |
|---|---|
| GPU Utilization (%) | Measures how much of the GPU’s processing power is being used. High values indicate the GPU is actively working; low values may suggest bottlenecks elsewhere (e.g., data loading). |
| CPU Utilization (%) | Indicates how much of the CPU is being used. Useful for detecting whether CPU is a bottleneck in data preprocessing or I/O operations. |
| GPU Power Usage (W) | Shows the actual power consumption of the GPU in watts. Helps monitor energy efficiency and thermal limits. |
| GPU Power Usage (%) | Percentage of the GPU’s maximum power capacity being used. Useful for understanding how close the GPU is to its power limits. |
| GPU Memory Usage (MB) | Amount of GPU memory currently in use. Important for ensuring the model and data fit within available memory. |
| GPU Memory Usage (%) | Percentage of total GPU memory being used. High usage may cause memory overflow or instability. |
| RAM Usage (MB) | Amount of system RAM being used. Helps monitor memory pressure from data loading, preprocessing, or model components. |
| RAM Usage (%) | Percentage of total system RAM in use. High values may indicate a need for memory optimization or hardware upgrades. |
| Network - Bandwidth | Measures data transfer rate over the network. Important in distributed training or when loading data from remote sources. Low bandwidth can slow down training. |
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