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QCT POD HPC & AI Converged System

Taiwan
Introduction
QCT Platform on Demand (QCT POD) is an on-premises rack-level system designed for the healthcare industry. With in-house designed hardware and management tools, QCT POD achieves flexibility, scalability, as well as time and resource efficiency with rapid deployment and easy management.

QCT POD can be composed of common building blocks of compute, storage and management to meet the demands of different medical workloads, such as Next-Generation Sequencing (NGS), Molecular Dynamics (MD) and Image Recognition. QCT also ensures the quality and serviceability of the infrastructure to accelerate the time-to-value for image recognition, cancer gene detection, drug design and more.
Features / strengths
System Platform Features
QuantaGrid and QuantaPlex servers powered by 4th Gen Intel Xeon Scalable processors
1. Dedicated management services ​
Supports a container environment for system management and monitoring with a dashboard design​
2. Supports diverse workload demands​
Includes data processing, HPC and AI building blocks to support diverse medical applications with a container-based environment
3. Database Lifecycle Management
Features scale-out NAS and an object storage design to deliver effective storage, system scalability, and data protection

Optimizing the User Experience for IT Personnel in Medical Institutions
1. Rapid System Deployment: Accelerate deployment processes and liberate the stress for IT staff​.
2. Real-time System Monitoring: Simplify system monitoring and diagnosing.
3. Simple System Management: Highly reliable, scalable, and simplified cluster management dashboard​.

Accelerating Medical Software Development Processes
Provides a robust, comprehensive development platform and pre-compiled workloads to help medical software developers focus and expedite their development processes.
Specification in detail
QuantaGrid D54U-3U
Supports various types of accelerator to meet the demands of AI training, inference, and HPC scenarios.
QuantaGrid D54X-1U
Suitable for HPC cluster computing scenarios.
QuantaGrid D54Q-2U
Suitable for AI inference and offers a cost-effective solution.
QuantaGrid D74H-7U
Suitable for high-resolution image AI training or LLM
QuantaGrid S54S-1U
Suitable for software-defined storage and high-scalability application scenarios
QuantaPlex S24P-5U
Suitable for large-scale data storage requirements
Supporting document

Clients
Hospitals/research centers/universities

Information
Introduction
QCT Platform on Demand (QCT POD) is an on-premises rack-level system designed for the healthcare industry. With in-house designed hardware and management tools, QCT POD achieves flexibility, scalability, as well as time and resource efficiency with rapid deployment and easy management.

QCT POD can be composed of common building blocks of compute, storage and management to meet the demands of different medical workloads, such as Next-Generation Sequencing (NGS), Molecular Dynamics (MD) and Image Recognition. QCT also ensures the quality and serviceability of the infrastructure to accelerate the time-to-value for image recognition, cancer gene detection, drug design and more.
Features / strengths
System Platform Features
QuantaGrid and QuantaPlex servers powered by 4th Gen Intel Xeon Scalable processors
1. Dedicated management services ​
Supports a container environment for system management and monitoring with a dashboard design​
2. Supports diverse workload demands​
Includes data processing, HPC and AI building blocks to support diverse medical applications with a container-based environment
3. Database Lifecycle Management
Features scale-out NAS and an object storage design to deliver effective storage, system scalability, and data protection

Optimizing the User Experience for IT Personnel in Medical Institutions
1. Rapid System Deployment: Accelerate deployment processes and liberate the stress for IT staff​.
2. Real-time System Monitoring: Simplify system monitoring and diagnosing.
3. Simple System Management: Highly reliable, scalable, and simplified cluster management dashboard​.

Accelerating Medical Software Development Processes
Provides a robust, comprehensive development platform and pre-compiled workloads to help medical software developers focus and expedite their development processes.
Specification in detail
QuantaGrid D54U-3U
Supports various types of accelerator to meet the demands of AI training, inference, and HPC scenarios.
QuantaGrid D54X-1U
Suitable for HPC cluster computing scenarios.
QuantaGrid D54Q-2U
Suitable for AI inference and offers a cost-effective solution.
QuantaGrid D74H-7U
Suitable for high-resolution image AI training or LLM
QuantaGrid S54S-1U
Suitable for software-defined storage and high-scalability application scenarios
QuantaPlex S24P-5U
Suitable for large-scale data storage requirements
Supporting document
Clients
Hospitals/research centers/universities

QCT POD HPC & AI Converged System

Taiwan
Quanta Cloud Technology Other products
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