Hyper SuperServer SYS-221H-TN24R

The SYS-221H-TN24R is a powerful and versatile 2U server designed to meet the demands of modern data centers and enterprise applications. Powered by dual 5th/4th Gen Intel® Xeon® Scalable processors, this server delivers exceptional performance, scalability, and reliability. With support for up to 8TB of DDR5 memory and 24 hot-swap 2.5" NVMe/SATA/SAS drive bays, the SYS-221H-TN24R is ideal for virtualization, AI inference, machine learning, software-defined storage, and cloud computing.

• High Performance: Equipped with dual 5th/4th Gen Intel® Xeon® Scalable processors, offering up to 64 cores per CPU for robust processing power.
• Massive Memory Capacity: Supports up to 8TB of DDR5 ECC RDIMM memory across 32 DIMM slots, ensuring fast data access and improved system responsiveness.
• Flexible Storage Options: Features 24 hot-swap 2.5" NVMe/SATA/SAS drive bays and 2 internal M.2 NVMe/SATA slots, providing extensive storage expansion capabilities.
• Advanced Networking: Includes up to 2 AIOM slots (OCP NIC 3.0 compatible) and multiple PCIe 5.0 slots for enhanced connectivity and flexibility.
• Efficient Cooling: Designed with 4 heavy-duty hot-swap fans and optimal fan speed control to maintain optimal temperatures and ensure reliable operation.
• Redundant Power Supply: Comes with dual 1600W Titanium Level power supplies, providing efficient and stable power to all components.

• Superior Performance: Leverage the power of dual Intel® Xeon® processors and high-speed memory to handle demanding tasks with ease.
• Scalability and Flexibility: Expand your system with extensive storage and networking options to meet growing business needs.
• Reliable Operation: Ensure continuous operation with redundant power supplies and advanced cooling solutions.
• Versatile Applications: Ideal for a wide range of applications, from virtualization to AI and cloud computing, offering flexibility for various use cases.

• Virtualization: Perfect for running multiple virtual machines and managing virtualized environments.
• AI and Machine Learning: Ideal for training and deploying AI models and running machine learning algorithms.
• Cloud Computing: Suitable for building scalable and efficient cloud infrastructure.
• Enterprise Applications: Excellent for enterprise-level applications, including database management and software-defined storage.
• Software-defined Storage: Ideal for storage virtualization.