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- In Stock: 7
- Manufacturer: Sun Microsystems
- Model or Part: 501-5235
- Condition: Refurbished
- Weight: 3.00lb
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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 Sun Microsystems 400MHz 8MB Cache Sapphire Processor (model 501-5235) delivers high performance for demanding server and workstation environments. Designed with Sun's proven RISC architecture, this processor combines a fast 400MHz clock speed with a large 8MB external cache to accelerate data access and improve overall system throughput. It is an ideal upgrade for legacy Sun hardware that requires a reliable boost in computational power without a complete system redesign.
Key Features
- 400MHz operating frequency for responsive processing
- 8MB external cache reduces memory latency and increases data throughput
- Optimized for Sun SPARC V8 architecture compatibility
- Low power consumption relative to performance class
- Robust pin-out design for easy integration into existing Sun motherboards
- Supports multi-processor configurations for scalable performance
Technical Specifications
- Manufacturer: Sun Microsystems
- Model / Part Number: 501-5235
- Processor Type: Sapphire RISC processor
- Clock Speed: 400MHz
- Cache Size: 8MB external L2 cache
- Bus Interface: 64-bit SPARC V8 bus
- Supply Voltage: 3.3V
- Package Type: PGA 126 pins
- Operating Temperature Range: 0 to 70 degrees Celsius
- Thermal Design Power: approx 30W
Typical Applications
- Enterprise servers running Solaris or compatible UNIX operating systems
- High-performance workstations for scientific computing and data analysis
- Legacy Sun hardware upgrades to extend service life
- Database servers requiring fast cache access for transaction processing
- Virtualization hosts that benefit from low latency memory handling
By integrating the 400MHz 8MB Cache Sapphire Processor, users can achieve a noticeable increase in processing speed, reduced bottlenecks, and improved overall system reliability, making it a cost-effective solution for performance-critical workloads.