Server 64gb Ram

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Server vendors show 12 core AMD Opteron CPUs

"Tenkine Server channel December 30 News" Oakville Mehlville Consolidator, a server vendor from Missouri, showed us the real thing about the AMD 12 core Opteron CPU. At the end of last year AMD demonstrated the Magny-cours CPU, based on 45 nm process to build, integrated direct Connect Architecture 2.0, bringing twice times the memory channel, significantly improve the performance of the memory subsystem, DCA2.1 system also improve ...

IBM Power server memory and I/O upgrades are more cost-effective

Recently, IBM upgraded some models of the power system product line, including upgrading memory and I/O to the starter model, and increasing the number of processing cores for high-end models. The entry-level models for this upgrade include Power710 and 730, which were released in August 2010 with 2U architecture, which makes it difficult to distinguish between the two. Where Power710 supports a single POWER7 processor and 8 DDR3 memory slots, the upgraded Power710 can support one 16GB RAM, maximum memory ...

2U Large-capacity multi-purpose rack server Dell R510 Hot

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; "Tenkine Office channel November 27 News" poweredge™r510 is a dual-slot, 2U high-capacity multi-purpose rack Server, in a small 24-inch deep chassis with both redundancy, economy and built-in storage. Forced to understand that near the Japanese server is selling, interested friends can connect ...

Choose the right hardware configuration for your Hadoop cluster

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...

Stardog 2.1: Extensibility improvements resulting from concurrency, memory management, and GC mechanisms

The upcoming Stardog 2.1 query scalability improves by about 3 orders of magnitude and can handle 50 billion triple on a 10,000-dollar server. We have never focused too much on stardog scalability itself: we first consider its ease of use and then consider its speed. We just assumed it would make it extremely scalable. Stardog 2.1 makes querying, data loading, and scalability a huge leap forward. Run S on a 10,000 dollar server hardware (32 cores, 256 GB RAM).

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