Middle Canyon Klondike Deep Learning Super Computer
The Middle Canyon Klondike is a 20 Slot PCI Chassis for Deep Learning Applications is tailored to deliver speedy results for high workloads generated by Big Data and Analytics, Control and Signal Processing, and Cyber Security.
 
Download MC-SP20 Data Sheet

Applications

Security

  • Detect anomalous behavior in network traffic to identify vulnerabilities
  • Analyze data-in-motion and at rest can help find new associations or uncover patterns and facts
  • Analyze internet, smart devices, and social media data to prevent criminal threats

Transportation

  • Real-time management of traffic patterns and congestion
  • Live monitoring of railroad conditions
  • Optimize long-haul trucking routes and load capacities

Federal

  • Faster processing of data streams like video, speech, image
  • Disrupt planned cyber and criminal activities
  • Leverage advanced object recognition technologies to locate threats faster, safer, and more accurately

Specifications

Model MC-SP20
GPUs 10x Telsa P40 or 20x Tesla P4
TFLOPS (GPU F16) (GPU SP Peak) 192
GPU Memory 24GB per GPU
CPU Intel Xeon E5-2600 v3 or v4 Series, 1.7GHz – 2.6GHz
NVIDIA CUDA cores 57,344
Maximum Power Requirements 5,000 W
System Memory 512 GB 2133 MHz DDR4
Storage 4x 1.92 TB SSD RAID 0
Network Dual 10 GbE, 4 IB EDR
Software Ubuntu Linux Host OS
System Weight 28 lbs [12.7kg]
System Dimensions 19.875″ D x 17.5″ W x 4U H
[505mm D x 444mm W x 131mm H]
Operating Temperature Range 50° – 95°F [10 – 35 °C]


 

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