AS-1115HS-TNR

The AS -1115HS-TNR is a high-performance server designed to meet the demanding needs of modern data centers and enterprise environments. With its robust architecture and advanced features, this server ensures optimal performance, reliability, and scalability for a wide range of applications.

• Single AMD EPYC™ 9004/9005 Series Processor: Supports up to 160 cores and 320 threads, with up to 400W TDP.
• Memory Capacity: Up to 9TB of DDR5 ECC RDIMM, ensuring high-speed data processing and reliability.
• Flexible Storage Options: 8 hot-swap 2.5" NVMe/SATA/SAS drive bays, with optional expansion to 12 bays.
• Advanced Networking: Includes 2 PCIe 5.0 x16 FHFL slots, 1 PCIe 5.0 x16 FHHL slot, and 1 AIOM networking slot (OCP NIC 3.0 compatible).

• Space Efficiency: Single processor rackmount servers, especially 1U models, offer a compact design that conserves valuable data center space. This makes them ideal for environments with limited physical space.

   

• Cost-Effective: These servers provide a cost-effective solution for businesses needing robust performance without the higher costs associated with dual-processor systems. They are suitable for small to medium-sized enterprises and specific applications like web hosting and virtualization.

   

• Power Efficiency: Single processor servers typically consume less power compared to their dual-processor counterparts. This results in lower operational costs and a reduced environmental footprint, making them a greener choice for businesses.

   

• Scalability: These servers offer scalable options, allowing businesses to expand their computing capabilities as needed. They can support high memory capacities and multiple PCIe slots for future upgrades, ensuring long-term usability.

   

• Performance: With support for powerful processors like the AMD EPYC™ 9004/9005 series, single processor rackmount servers deliver high performance for demanding workloads, including AI inference, machine learning, and cloud computing.

• Virtualization: Efficiently manage multiple virtual machines.
• AI Inference and Machine Learning: Accelerate AI workloads with powerful processing capabilities.
• Cloud Computing: Enhance cloud infrastructure with robust performance and scalability.
• Software-defined Storage
• Enterprise Server