Author: Moor Insights and Strategy / Source: Forbes
Wave Computing, a Silicon Valley AI startup specializing in data flow processing of Deep Neural Networks, has acquired MIPS Technologies for an undisclosed amount. Wave projects that the acquisition will be immediately cash-flow positive and accretive to its balance sheet and valuation.
The deal logic is pretty sound, adding new markets such as edge AI computing while giving the company in-house RISC cores it can use for its next-generation DataFlow Processing Unit datacenter AI chip.Who is Wave Computing, and why does it need MIPS?
Wave is an early innovator in AI silicon geared towards datacenter use, to train deep neural networks (DNNs) and run those networks for predictions and classifications. This market is growing rapidly, fueling NVIDIA NVDA -0.14%
’s datacenter GPU business to a ~$3B run rate which has been doubling every year. Wave has a chip and systems it intends to sell to large internet datacenters and enterprises who are looking for an alternative to GPUs. The company says it will deliver its first hardware for alpha testing this summer and has publicly disclosed its data flow architecture. Unlike a GPU (which accepts work from a CPU, crunches the data, and then returns the results to the CPU over a PCIe interface), Wave is a comprehensive AI processing platform, performing the entirety of the AI work without CPU intervention or costs. Of the 20 or so silicon startups entering this market, Wave may be one of the earliest to bring product to market.
It is hoping to establish itself as an early mover, with an innovative approach it claims will significantly outperform its competitors.MIPS has been around in various forms…
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