AI-Native Dataflow Technology

Deep Learning is a Dataflow Application

Deep Learning is a dataflow application that demands a dataflow processor. By uniquely applying technology to modeling dataflow applications, 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, GPUs, or other co-processors.

10x Performance of GPUs

An Order of Magnitude Performance over GPUs

Wave DPUs deliver an order of magnitude performance improvement over GPU implementations.

Wave Aquires MIPS Technology

MIPS is an intellectual property licensing business within Wave Computing, providing processor architecture and core IP.

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MIPS Processors

Widely used and backed by an active ecosystem of hardware and software partners.

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AI Cores

The latest family of MIPS CPUs offer best-in-class performance, power and area efficiency.

Classic Cores

Widely licensed and cost-effective solutions for embedded and multimedia applications.

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MIPS Architecture

Highest levels of performance together with clean elegant design.

Award-winning Technology

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Frost & Sullivan

2018 Best Practices Award

North American Machine Learning Technology Innovation Award

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CIO Application Magazine

2017 Top 25 Artificial Intelligence Solution Providers

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Want to accelerate your AI project with Wave innovation? Let us help you discover the power of scalable, dataflow technology.

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