Thanksgiving Deal Silicon Graphics Inc Octane R10000 Board, 128mb 2-64mb Sdram 15ns Ecc Dimm Save 65% + Free Ship [TeqRGD51]

Silicon Graphics Octane R10000 Board

Introducing the Silicon Graphics Inc Octane R10000 Board, a cutting-edge solution designed for high-performance computing. This board is built with the latest technology to deliver exceptional performance and reliability. With its robust 128MB of SDRAM and a range of memory options from 2-64MB, the Octane R10000 Board is perfect for demanding applications. Its 15ns ECC DIMM ensures data integrity and minimizes system errors, making it an ideal choice for critical computing environments.

• High-performance computing for demanding applications
• Flexible memory options from 2-64MB
• 15ns ECC DIMM for enhanced data integrity

Product Specifications and Technical Details

The Octane R10000 Board is equipped with a 128MB SDRAM, offering ample memory for complex tasks. The board supports a wide range of memory configurations, allowing users to customize their system based on their specific needs. The 15ns ECC DIMM ensures that the data stored and processed on the board is accurate and reliable, thanks to its error correction capabilities. This board is designed to operate at optimal performance, making it a reliable choice for critical applications.

• 128MB SDRAM for high-capacity memory
• Flexible memory configurations from 2-64MB
• 15ns ECC DIMM for error correction and data integrity

Practical Uses and Target Audience

The Silicon Graphics Inc Octane R10000 Board is ideal for a variety of applications, including scientific research, financial modeling, and data analysis. Its high-performance capabilities make it a valuable asset for professionals who require fast and accurate computing solutions. Whether you are a researcher, an engineer, or a financial analyst, this board can help you achieve your goals efficiently. Its robust design and advanced features make it a must-have for anyone looking to enhance their computing power.

• High-performance computing for scientific research and data analysis
• Optimized for financial modeling and engineering applications
• Targeted towards professionals in research, engineering, and finance