Wave Computing named Machine Learning Industry Technology Innovation Leader by Frost & Sullivan

 
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Wave’s Compute Appliance is Redefining How Machine Learning is Done

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  • 2.9 PetaOps per second of performance

  • More than 2TB of high-speed memory

  • Up to 256,000 processing elements per appliance

  • Scales up to four appliances per data center node

  • Initially supporting TensorFlow

 
 
 

See how Wave Computing’s native dataflow architecture eliminates the performance and scalability bottlenecks of CPUs and GPUs.

 
 

Wave’s Early Access Program

Wave’s EAP gives qualified data scientists and developers Cloud-based access to a Wave compute appliance prototype before official sales begin.  Availability is limited, so apply today. Please fill out the form below.

Name *
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What is your current machine learning (ML) framework? *
What networks are you using for training / inferencing? *
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