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Intel E7-4860 2.26GHz 24MB 130W 10-Core Processor
The Intel E7-4860 is a high-performance server processor designed for mission critical workloads. Operating at 2.26GHz with a 24MB L3 cache, this 10-core silicon delivers robust multi-threaded performance while maintaining a 130W thermal design power... Read More
price
$9.95
Ships next business day.
- In Stock: 151
- Manufacturer: Intel
- Model or Part: E7-4860
- Condition: Refurbished
- Weight: 3.00lb
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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 Intel E7-4860 is a high-performance server processor designed for mission critical workloads. Operating at 2.26GHz with a 24MB L3 cache, this 10-core silicon delivers robust multi-threaded performance while maintaining a 130W thermal design power. Ideal for dense data-center environments, the E7-4860 provides the reliability and scalability required for enterprise-grade applications.
Key Features
- 10 physical cores with Hyper-Threading support for up to 20 simultaneous threads
- 2.26GHz base frequency with Intel Turbo Boost technology for dynamic frequency scaling
- 24MB shared L3 cache to accelerate data access and reduce latency
- 130W TDP optimized for high-density server platforms
- Advanced reliability, availability and serviceability (RAS) features including ECC memory support and machine check architecture
- Compatibility with Intel Xeon E7 v2 family socket and chipset platforms
Technical Specifications
- Manufacturer: Intel
- Model / Part Number: E7-4860
- Core Count: 10
- Thread Count: 20
- Base Clock Speed: 2.26GHz
- Max Turbo Frequency: up to 2.80GHz (depending on workload and cooling)
- L3 Cache: 24MB
- Thermal Design Power: 130W
- Instruction Set: 64-bit x86
- Socket Type: LGA 1567
- Memory Support: DDR3 1333/1600, up to 768GB per socket with ECC
- Technology: 32nm manufacturing process
Typical Applications
- Enterprise database servers handling high transaction volumes
- Virtualization hosts running multiple virtual machines with demanding workloads
- Big data analytics platforms that require fast parallel processing
- High-performance computing clusters for scientific simulations
- Financial services applications such as risk modeling and real-time trading
- Content delivery and media transcoding servers that benefit from multiple cores and large cache