IBM HS23 BladeCenter Server
Server Parts are specialist suppliers to the IT trade of servers, storage and networking. We offer big discounts on the IBM HS23 BladeCenter Server range and options, up to 45% below traditional distributors. We can configure servers to your exact requirements and we ship worldwide. Please contact us for a quote.
Do more in the data centre (DC) you own with IBM® BladeCenter HS23. This efficient server helps you manage big data and is ideal for a wide variety of workloads including virtualisation and cloud infrastructure solutions. New integrated 10 GbE Virtual Fabric provides high networking bandwidth. Sixteen dual inline memory modules (DIMM) slots, supporting up to 512 gigabyte (GB) of double data rate-3 (DDR3) memory, deliver more and larger virtual machines (VM) per blade compared to previous generations. Simplify infrastructure deployment and complexity for faster time-to-value with IBM FastSetup.
The HS23 offers outstanding performance, with support for the new 12-core Intel Xeon processor E5-2600 v2 product family that processes up to 24 simultaneous threads. It has fast memory throughput and integrated redundant array of independent disks (RAID)-0, -1.
Select configurations of the HS23 are part of the IBM Express Portfolio designed to meet the needs of small and midsized businesses (SMB). Easy to manage, Express models vary by country.
Product features
- Allows you to do more now in the DC you own through outstanding performance, flexible networking and simple management
- Integrated tools such as IBM® Systems Director Active Energy Manager and Blue Path Cooling blade design deliver outstanding power management
- Optional embedded hypervisor enables instant virtualisation
- IBM Integrated Management Module (IMM) provides around-the-clock remote management capabilities
- Unified Extensible Firmware Interface (UEFI) delivers improved interface for more efficient boot of operating systems (OS)
- Predictive Failure Analysis (PFA) and light path diagnostics help maximise availability by detecting component failure before the failure occurs