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.
AI-Native Dataflow Technology
Deep Learning is a Dataflow Application
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 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.
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