AI-Native Dataflow Technology

Deep Learning is a Dataflow Application

Deep Learning is a dataflow application that demands a dataflow processor. Wave eliminates the need for a host and co-processor in the calculations of a neural network, yielding an architecture that scales for any application: from the Edge to the Datacenter.

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16K PEs per DPU

16K PEs per DPU

Wave’s DPUs (Dataflow Processor Units) pack 16,000 Processor Elements (PEs), to accelerate even the most complex neural network models.

0 CPUsGPUs Required

0 CPUs/GPUs Required

Wave DPUs eliminate the need for CPUs and GPUs to accelerate deep learning neural network models.

Optimal Scalability and Efficiency

Wave’s dataflow architecture scales linearly, delivering optimal balance of flexibility and performance for any AI application.

Award-winning Technology

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Frost & Sullivan

Best Practices Award

North American Machine Learning Technology Innovation Award

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CIO Application Magazine

Top 25 Artificial Intelligence Solution Providers


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