LENOVO 8871ELG – System x3650 M5, Intel Xeon E5-2640 v4 10C
₹224,546.00
Lenovo System x3650 M5. Processor family: Intel® Xeon® E5 v4, Processor frequency: 2.4 GHz, Processor model: E5-2640V4. Internal memory: 16 GB, Internal memory type: DDR4-SDRAM, Memory layout (slots x size): 1 x 16 GB. Ethernet LAN, Cabling technology: 10/100/1000Base-T(X). Power supply: 750 W, Redundant power supply (RPS) support. Chassis type: Rack (2U)System x3650 M5- Tackle enterprise workloads with power, efficiency and reliability- Choose from flexible storage configurations for workload-optimized performance- Reduce unplanned downtime and minimize costs- Safeguard enterprise data with built-in System x® Trusted Platform Assurance, plus optional self-encrypting drives and IBM Security Key Lifecycle Manager- Gain superior performance with Intel Xeon E5-2600 v3 processors (up to 36 cores per server), end-to-end 12 Gbps RAID support—devices and infrastructure—up to four RAID adapters, and up to two 300 W GPUs- Run up to 131 percent greater java workload performance, up to 61 percent greater virtualization performance, and up to 59 percent greater database performance per system than the previous generation- Reduce data center costs with smart energy-efficient features, including unique 40°C operating temperature, 80 PLUS® Titanium power supplies (up to 96 percent efficiency), active/standby power supply modes, dual fan zone design, and TruDDR4™ Memory (up to 45 percent lower energy use over DDR3)- Run more virtual machines and workloads with up to 50 percent more cores and cache and 2x more memory capacity per system than previous generationWith the powerful, versatile new 2U two-socket System x3650 M5 rack server, you can run even more workloads, 24/7, and gain faster business insights. Integrated with up to two Intel E5-2600 v3 series CPUs and industry-leading two-socket storage capacity, the x3650 M5 fast forwards your business. You can select from an impressive array of storage configurations (up to 26 drive bays) that optimize diverse workloads from Cloud to Big Data.
