Name: Lenovo System x3850 X6 Compute Book
Brand: IBM
Price: 75.95 USD
Availability: InStock

IBM 00FN809 Lenovo System x3850 X6 Compute Book

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$75.95

In Stock: 14
Manufacturer: IBM
Model or Part: 00FN809
Condition: Refurbished
Weight: 3.00lb

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Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

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Description

Overview

The IBM 00FN809 Lenovo System x3850 X6 Compute Book is a high-performance rack server designed for demanding data center workloads. Built on the proven x3850 X6 architecture, this system delivers robust processing power, expansive memory capacity and flexible I/O options in a compact 2U form factor. Whether you are consolidating virtual machines, running mission critical databases or powering large scale analytics, the Compute Book provides reliable performance with enterprise-grade manageability.

Key Features

Dual Intel Xeon E5-2600 v3 processors for up to 24 cores per socket
Up to 768 GB DDR4 memory across 24 DIMM slots for massive in-memory workloads
Flexible storage options including SAS, SATA and SSD drives with hot-swap capability
Integrated I/O expansion: up to 8 PCIe Gen3 slots for network, GPU or accelerator cards
Advanced remote management via IBM Director and integrated Lights Out (iLO) for out-of-band control
Energy efficient power supplies with intelligent fan controls to reduce operating costs

Technical Specifications

Model/Part Number: 00FN809
Form factor: 2U rackmount
Processor: Dual Intel Xeon E5-2600 v3 series, up to 2.6 GHz base frequency
Memory: DDR4 ECC Registered, 2400 MT/s, up to 768 GB
Storage: Up to 12 hot-swap bays, support for 2.5" or 3.5" drives, RAID options from 0 to 6
I/O: 8 PCIe Gen3 slots, 4 USB 3.0 ports, dual Gigabit Ethernet (optional 10 GbE)
Power: Redundant 750 W or 1100 W hot-plug power supplies
Operating temperature: 10 to 35 degrees Celsius
Dimensions: Height 3.5 in, Width 17.2 in, Depth 28.6 in

Applications

This Compute Book is ideal for virtualization platforms such as VMware vSphere or Microsoft Hyper-V, large relational databases like Oracle or SQL Server, high performance computing (HPC) clusters, and big data analytics frameworks including Hadoop and Spark. Its scalable memory and storage architecture also make it suitable for in-memory caching solutions, software defined networking (SDN) controllers and mission critical ERP systems.