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Lenovo ThinkSystem SR650 V2 Rack Server Intel Xeon Silver 4314, 32GB RAM

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$18,707.50 cheaper than the new price!!

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New  $37,415.00
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Product details

Management number 202128513 Release Date 2025/09/19 List Price $18,707.50 Model Number 202128513
Category

The Lenovo 7Z73A06FNA is a 2U rack server built to meet the needs of data centers that require a balance of scalability, speed, and reliability. It runs on an Intel Xeon Silver 4314 processor, which delivers solid performance for demanding tasks like virtualization, analytics, and cloud computing. With 32GB of RAM, this server handles high-performance workloads smoothly, making it suitable for real-time data processing and applications that require quick response times.

This server offers flexible storage options through Lenovo’s AnyBay technology, allowing you to configure the storage bays to support SAS, SATA, or NVMe drives depending on your needs. This flexibility makes it easier to adapt the server to different workloads or storage requirements without changing the hardware. The ThinkSystem SR650 V2 is designed with enterprise environments in mind, featuring a Trusted Platform Module (TPM 2.0) for enhanced security and reliability. It also benefits from Lenovo Premier Support, ensuring you have expert assistance when needed.

Whether you are running machine learning models, managing financial transactions, or operating hybrid cloud environments, this server is built to handle those workloads efficiently. Its design and features make it a dependable choice for businesses looking to future-proof their data center infrastructure while maintaining strong performance and security.

Highlights:

  • Intel Xeon Silver 4314 processor with 16 cores running at 2.4 GHz
  • 32GB of RAM, with options to expand for more demanding tasks
  • 2U rack-mountable form factor suitable for data center racks
  • Lenovo AnyBay technology supports SAS, SATA, or NVMe drives for flexible storage
  • Trusted Platform Module (TPM 2.0) for enhanced security
  • Well-suited for virtualization, cloud computing, and data analytics workloads

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