IRONLINK R218 Dual 4216 300TB Enterprise Server
The IRONLINK R218 is a high-performance enterprise server designed for organizations requiring massive storage capacity and exceptional throughput. Featuring dual AMD EPYC 4216 processors and 300TB of SAS storage, this system delivers 1.4GB/s throughput for demanding data workloads. Built as a standard, writeable solution, the R218 is ideal for data centers, backup infrastructure, and large-scale analytics environments where reliability and speed are critical.
Key Features
- Dual AMD EPYC 4216 processors for enterprise-grade performance
- 300TB total storage capacity with fifteen 20TB SAS drives
- 1.4GB/s sustained throughput for high-speed data operations
- Writeable storage configuration for active data management
- Enterprise-class reliability for mission-critical workloads
- Optimized for data center and backup applications
Technical Specifications
| Specification |
Details |
| Manufacturer |
IRONLINK |
| Part Number |
IL-R218-DEG1-D216-300T-20-S |
| Processors |
Dual AMD EPYC 4216 |
| Storage Capacity |
300TB |
| Drive Configuration |
15x 20TB SAS drives |
| Throughput |
1.4GB/s |
| Storage Type |
Writeable SAS |
Frequently Asked Questions
What workloads is the IRONLINK R218 designed for?
The R218 excels in data center environments, enterprise backup systems, large-scale analytics, and high-performance computing scenarios where 300TB capacity and 1.4GB/s throughput are essential for managing demanding data operations.
How much storage does this enterprise server provide?
This system provides 300TB of total storage using fifteen 20TB SAS drives, making it suitable for organizations with substantial data retention and processing requirements.
What is the throughput performance of the IRONLINK R218?
The R218 delivers up to 1.4GB/s sustained throughput, enabling rapid data transfers and processing for time-sensitive enterprise applications and backup operations.
Is the IRONLINK R218 suitable for active data management?
Yes, the R218 is configured as a writeable storage solution, allowing for active read-write operations, making it ideal for dynamic data environments and real-time analytics workloads.
