IBM Informix cluster configurations System x BladeCenter hardware
Reduce your costs with features to ensure your business continuity
Discover IBM Informix cluster configurations with pre-defined, pre-certified IBM System x BladeCenter hardware. High performance, low cost cluster configurations are balanced for CPU and I/O capacity and available in a range of sizes. Protect your investment and grow capacity as you need it. Active clustering technology offers a wide range of choices for business continuity and can reduce IT infrastructure costs by scaling out on low cost hardware.
Informix Multi-node Active Clusters for High-availability (MACH11) technology provides customers with unparalleled flexibility in deploying a mixture of workloads for OLTP and warehouse applications. Maximize performance and balance your workload while simplifying operational complexity with scalability on demand. Consolidating Informix solutions onto a BladeCenter S cluster helps to reduce energy consumption and costs, providing better return on your investment.
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Small 1 HS22 blade, 8 cores total, 2 Quadcore Intel Xeon E5530 (Nehalem) per blade 12 GB memory 12 SAS 15K disks, total storage capacity 1.7TB raw |
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Medium 2 HS22 blades, 16 cores total, 2 Quadcore Intel Xeon E5530 (Nehalem) per blade 24 GB memory total, 12 GB each blade 24 SAS 15K disks, total storage capacity 3.5TB raw |
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Large 4 HS22 blades, 32 cores total, 2 Quadcore Intel Xeon E5530 and X5570 (Nehalem) per blade 96 GB memory total, 24 GB each blade 48 SAS 15K disks, total storage capacity 14.4TB raw |
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xLarge 8 HS22 blades, 64 cores total, 2 Quadcore Intel Xeon E5530 and X5570 (Nehalem) per blade 192 GB memory total, 24 GB each blade 96 SAS 15K disks, total storage capacity 28.8TB raw |
Featured Informix Cluster Configuration video
Partners discuss high availability on the Informix cluster configuration
IBM Informix Cluster Configurations + System x BladeCenter Hardware
Informix Multi-node Active Clusters for High-availability (MACH11) technology provides customers with unparalleled flexibility in deploying a mixture of workloads for OLTP and warehouse applications