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Cluster Center Apply Now!

 

Mellanox Cluster Center offers an environment for developing, testing, benchmarking and optimizing products based on InfiniBand and 10 GigE technology. The center, located in Santa Clara, California, provides on-site technical support and enables secure sessions onsite or remotely.

The Cluster Center provides a unique ability to access the latest InfiniBand technology, even before it reaches the public availability. It provides a development testing and tuning environment for applications to take advantages of Mellanox’s superior characteristics.

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Mellanox clusters utilize “Fat Tree” (or Constant Bisectional Bandwidth - CBB) network architecture to construct non-blocking switch configurations. Fat Tree network is a switch topology in which integrated non-blocking switch elements (crossbars) with a relatively low number of ports are used to build a non-blocking switch topology supporting a much larger number of endpoints. Using full Fat Tree networks is a key ingredient to deliver non-blocking bandwidth for high performance computing and other large scale compute clusters. Fat Tree Topology


Current Available Clusters


NeptuneNeptune

  • Mellanox ConnectX 20Gb/s InfiniBand technology
  • 32 Colfax 1U 2P Dual Core AMD Opteron™ Cluster Nodes
  • 64 AMD Dual-Core Opteron™ Model 275 processors
  • Light weight 30 AWG InfiniBand cables from W. L. Gore & Associates, Inc.
  • 6GB memory per node
  • 425.9Gigaflops (Linpack Measured)

Apply for cluster access


 

HeliosHelios

  • Mellanox ConnectX 20Gb/s InfiniBand technology
  • 32 Rackable Systems c1000 DC powered rack-mount servers
  • 64 Quad-Core Intel® Xeon® 5300 Series Processors
  • Light weight 30 AWG InfiniBand cables from W. L. Gore & Associates, Inc.
  • 8GB FBD host memory from WinTec Industries

Apply for cluster access


 

VulcanVulcan

  • Mellanox ConnectX 20Gb/s InfiniBand technology
  • 32 Colfax 1U 2P Quad Core AMD Opteron™ Cluster Nodes
  • 256 AMD CPU cores
  • Zarlink's ZL60615 ZLynx active optical cable
  • 4GB memory per node


  

Apply for cluster access


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