Recommended Systems for Machine Learning / AI TensorFlow

 Machine Learning / AI GPU Workstation

• Updated version of our  "DIGITS" workstation
• Best workstation configuration for GPU focused workloads like DNN's with TensorFlow or PyTorch 
• Can train GoogLeNet on a 1 million ImageNet subset for 30 epocs in under 8hr
• Highest quality motherboard
  • 4 Full X16, PLX switched, metal reinforced PCIe slots
• Optimal chassis with excellent cooling and quiet operation

Our main platform for GPU accelerated Machine Learning applications 

• Recommended hardware configs ( other options available )
  • 2 or 4 RTX 2080Ti, RTX 2070, or Titan V  GPU's
  • Intel Xeon-W 2145 8-core or Xeon-W 2195 18-core
  • 128 or 256GB memory
  • 1TB system SSD, 2TB data SSD, 4GB storage HD

We have trained deep neural networks with complex models and large data sets, utilizing 4 Titan-V GPU's with this system.

Note: Some workloads may not scale well on multiple GPU's You might consider using 2 GPU's to start with unless you are confident that your particular usage and job characteristics will scale to 4 cards. We can pre-wire for 4 cards for easy expansion.  If you are using Tensorflow multi-GPU scaling is generally very good.