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- In Stock: 2
- Manufacturer: Oracle
- Model or Part: 8200640
- Condition: Refurbished
- Weight: 3.00
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Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
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Overview
The Oracle 8200640 16-Core 3.6GHz Processor Module Assembly delivers enterprise class performance for mission critical workloads. Engineered for high density servers, this processor module provides a powerful blend of speed, scalability and reliability. With sixteen cores operating at 3.6GHz, it is designed to accelerate database transactions, analytics, virtualization and cloud applications while maintaining efficient power consumption.
Key Features
- Sixteen high performance cores with a base frequency of 3.6GHz
- Advanced cache architecture with large shared L3 cache for reduced latency
- Integrated memory controller supporting DDR4 up to 2933MT/s
- Built-in hardware virtualization extensions for efficient VM consolidation
- Optimized for Oracle Solaris and Linux operating systems
- Thermal design optimized for high density rack environments
Technical Specifications
- Model / Part Number: 8200640
- Core Count: 16
- Base Clock Speed: 3.6GHz
- Maximum Turbo Frequency: 4.0GHz (dependent on workload and cooling)
- L2 Cache: 1MB per core
- L3 Cache: 32MB shared
- Supported Memory Types: DDR4 ECC
- Maximum Memory Bandwidth: 93GB per second
- Socket Type: LGA 2011-3
- Thermal Design Power: 150W
- Fabrication Process: 14nm
Applications
- High performance database servers for Oracle, MySQL and PostgreSQL
- Enterprise virtualization platforms and cloud infrastructure
- Big data analytics and in-memory processing
- Scientific computing and simulation workloads
- Financial services applications requiring low latency transaction processing
- Content delivery and media streaming platforms
By integrating the Oracle 16-Core 3.6GHz Processor Module Assembly into your server architecture, you gain the computational horsepower needed to handle demanding workloads, improve response times and future proof your data center investments.