IBM 81Y5170 6-Core 2.9GHz 15MB Cache CPU

Overview
The IBM 81Y5170 6-Core 2.9GHz 15MB Cache CPU delivers enterprise class performance for demanding server environments. Built on IBM''s latest silicon architecture, this processor combines high clock speed, large shared cache and advanced power management to accelerate workloads ranging from database transactions to virtualized cloud services. Its six physical cores and 15 megabytes of L3 cache provide the parallel processing power needed to handle multiple threads simultaneously while maintaining low latency.

Key Features

• Six high-performance cores operating at 2.9GHz for fast instruction throughput
• 15MB shared L3 cache reduces memory access times and improves data locality
• Advanced branch prediction and out-of-order execution for efficient pipeline utilization
• Integrated hardware virtualization extensions to support multiple virtual machines per socket
• Dynamic frequency scaling and power gating to optimize energy consumption under varying loads
• Compatible with IBM Power Systems and select x86 server platforms

Technical Specifications

• Core count: 6
• Base clock speed: 2.9GHz
• L3 cache: 15MB
• Instruction set: x86_64
• Thermal design power: 95W (max)
• Supported memory types: DDR4 up to 2933MT/s
• Socket type: LGA 3647
• Integrated memory controller with support for ECC memory
• Operating temperature range: 0 to 85 deg C

Applications
The 81Y5170 CPU is ideal for data center deployments that require high reliability and scalable performance. Typical use cases include:

• Enterprise database servers handling high transaction volumes
• Virtualization hosts running multiple guest operating systems
• Cloud infrastructure nodes delivering compute-intensive services
• High-performance analytics and big data processing platforms
• Mission-critical business applications that demand continuous uptime

By integrating the IBM 6-Core 2.9GHz 15MB Cache CPU into your server architecture, you gain a balanced blend of speed, efficiency and scalability that can adapt to evolving workload demands.