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Intel® 3210 Chipset for Embedded Computing: BriefProduct OverviewThe Intel® 3210 Chipset includes Error Correcting Code (ECC) memory for embedded applications that need high reliability, such as robotics on a factory floor, multi-function printers, and network security applications. This server-class chipset, with embedded lifecycle support, provides robust I/O performance and memory speed for fast system responsiveness required in mid-range network security appliance, print imaging, storage, and I/O-intensive industrial applications.The chipset consists of the Intel® 3210 Memory Controller Hub (MCH) and Intel® 82801IR I/O Controller Hub. It features a PCI Express* 2x8 or 1x16 I/O port, while an additional PCI Express port supports further expansion. The MCH supports dual-channel DDR2 MHz memory technology (up to 12.8 GB/s of peak memory bandwidth) and ECC memory for a high level of data integrity, reliability and system uptime.Product Highlights• 1333/1066/800 MHz front-side bus (FSB) for use with a variety of pin-compatible LGA 775 socket processors. These 45nm and 65nm processors meet a wide range of performance needs, providing reliability and scalability for embedded applications:– Intel® Core™2 Quad processor Q9400 (45nm) offers exceptional performance with four complete execution cores within a single processor.– Intel® Core™2 Duo processors E8400 and E7400 (45nm) offer dual-core, energy-efficient performance.– Intel® Pentium® processors E6500 and E5300 (45nm), and Intel® Celeron® processors E3400 (45nm) and E1500 (65nm) balance proven technology with exceptional value.• 45nm processors support Enhanced Intel SpeedStep® technology, which decreases average power consumption and heat production by dynamically adjusting processor voltage and core frequency while maintaining application performance. These processors feature an FSB speed of up to 1333 MHz and up to 6 MB cache for excellent performance-per-watt.Read the full Intel® 3210 Chipset for Embedded Computing Product Brief.
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Tech leaders discuss the power of connecting billions of devices to extract greater big data insights.