- About Us
-
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.
Secure your exclusive advance order today and gain priority 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
Secure your exclusive advance order today and gain priority 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.
The service automatically initiates, maintains, manages, and protects APIs of any sizes.
- Pricing
- Partner
- Event
Definition
Graphics Processing Units – GPUs are processors that utilize parallel processing and high memory bandwidth to perform specialized tasks such as accelerating graphics rendering, simultaneous calculations, and processing. GPUs have become essential for applications like electronic gaming, 3D image processing, video editing, cryptocurrency mining, and machine learning. GPUs are much faster and more efficient than CPUs in handling large-scale computational tasks.
Issue at Hand: GPU Usage Demand on Kubernetes
With the advancement of technology, especially in deep learning models, the demand for GPU usage is increasing rapidly as technology companies heavily invest in AI. With the emergence of tools like ChatGPT and other language/image/video processing tools mainly relying on AI capabilities, GPUs showcase their strength. This is also why major technology companies want to use GPUs to meet the evolving AI requirements.
GPUs significantly outperform CPUs in deep learning, especially during the training phase, which consumes substantial resources. In the GPU architecture, processing involves multiple cores and high memory bandwidth, making the deep learning process much more efficient than on CPUs.
Combined with GPUs, Kubernetes is a suitable solution for AI. More data scientists are choosing Kubernetes to optimize AI model training and deployment for several reasons: automatic deployment, easy scalability, a diverse development community, and support for many features.
