Posted by BlairMABEL25 April - 3 - 2015 ADD COMMENTS

Lenovo 00FL133 NVIDIA Tesla – GPU computing processor – Tesla K40 – 12 GB GDDR5 – PCI Express 3.0 x16 – for NeXtScale nx360 M4 5455, nx360 M5 5465

Lenovo 00FL133 NVIDIA Tesla - GPU computing processor - Tesla K40 - 12 GB GDDR5 - PCI Express 3.0 x16 - for NeXtScale nx360 M4 5455, nx360 M5 5465

  • Device Type: GPU computing processor| Bus Type: PCI Express 3.0 x16| Graphics Engine: NVIDIA Tesla K40| CUDA Cores: 2880| Features: Nvidia CUDA technology, Error Correcting Codes (ECC) Memory, SMX technology, Kepler GPU Architecture, Dynamic Parallelism, Hyper-Q| Size: 12 GB| Technology: GDDR5 SDRAM| Bandwidth: 288 GBps

Count on NVIDIA Tesla K40 GPU Accelerators to solve your most demanding HPC and big data challenges. They feature 1.4 TFLOPS performance, 12 GB memory, and ultra-fast 288 GB/s throughput, giving you the power to process large datasets while delivering up to10X acceleration compared to CPUs.

List Price: $ 8,619.00

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Big Data Challenges: Society, Security, Innovation and Ethics

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Big Data Challenges: Society, Security, Innovation and Ethics by Anno Bunnik Pap
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Posted by admin October - 31 - 2014 ADD COMMENTS

Microsoft SQL Server Standard Edition 2005 English 1 Processor License

Microsoft SQL Server Standard Edition 2005 English 1 Processor License

  • Integrated data management and analysis solution for any size organization
  • Build, deploy, and run enterprise applications that are secure and reliable
  • Maximize IT productivity by reducing complexity of database applications
  • Share data across multiple platforms, applications, and devices
  • Control costs without sacrificing performance, scalability, or security

The affordable option for small- and medium-sized organizations, SQL Server 2005 Standard Edition includes the core functionality needed for noncritical e-commerce, data warehousing, and line-of-business solutions.

List Price: $ 5,999.00

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Big Data : Related Technologies, Challenges and Future Prospects, Paperback b...

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Data Management in the Cloud: Challenges and Opportunities by Divyakant Agrawal
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