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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsWave Computing acquired MIPS Tech, Inc. on June 15, 2018, aiming to pair its dataflow-based artificial-intelligence technology with MIPS processor intellectual property and licensing capabilities. The goal was to extend AI from data centers toward embedded devices at the “edge” of cloud computing; the announcement described a strategy, not proof that a combined platform or successful product line followed.
What happened to Wave Computing and MIPS?
EE Times reported on June 13, 2018, that Wave Computing planned to buy MIPS. Two days later, Wave announced that it had acquired MIPS Tech, Inc., formerly MIPS Technologies. MIPS was a provider of RISC processor intellectual property and licensable CPU cores—not a consumer chip brand selling retail processors. Wave’s June 15 announcement said MIPS would operate as an IP business unit and continue licensing its technology.
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The distinction matters: the deal joined businesses and technologies, rather than simply adding a line of finished chips to Wave’s product catalogue.
Why did an AI startup want a processor-IP company?
Wave’s stated ambition was to move beyond AI systems for data centers and into inference in embedded and edge applications. AI training develops a model, typically using substantial computing resources; inference uses a trained model to produce outputs. Wave presented its dataflow architecture as the AI side of the proposed combination and MIPS’s RISC architecture and licensable CPU cores as a way to reach devices where AI processing could take place closer to users or equipment.
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As EE Times reported at the time, CEO Derek Meyer said, “Our strategy has always been to push our dataflow fabric out to the edge.” That was the company’s strategic rationale, not independent evidence that the technologies were successfully integrated or adopted.
| Strategic dimension | Wave’s data-center focus, as described in 2018 | Proposed embedded-edge direction |
|---|---|---|
| Compute location | Data-center and on-premise systems | Embedded devices and the “Edge of Cloud” |
| Workload emphasis | AI training | AI inference |
| Business capability | AI systems and dataflow technology | Licensable MIPS processor IP and CPU cores, with potential AI integration |
These are categories used in the companies’ contemporaneous strategy descriptions, not a comparison of current products.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What products and programs did Wave announce?
AI-enabled MIPS licensing and edge systems
In October 2018, Wave outlined a roadmap for AI-enabled MIPS licensing, CPU cores for edge applications and MIPS-based system-on-chip solutions. It also discussed functional-safety work for automotive applications. Those statements described planned directions; the announcements cited here do not establish that the products shipped or achieved commercial adoption.
MIPS Open
In December 2018, Wave announced MIPS Open. Under the announced program, participants could access the then-current 32-bit and 64-bit MIPS instruction-set architecture versions without licensing or royalty fees, with use licensed under MIPS patents. The announcement describes the historical offer; it does not establish that the program or those terms remain available today.
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What happened after the acquisition?
MIPS reported on March 1, 2021, that Wave and its subsidiaries had emerged from Chapter 11 bankruptcy. The reorganized business would be known as MIPS. According to MIPS’s announcement, a bankruptcy auction had taken place in December 2020, and Tallwood Venture Capital won with a restructuring bid valued at $61 million and would take majority ownership.
That is the latest company-status information established by the cited announcements. It does not confirm MIPS’s ownership or operating status in 2026, nor the current availability or terms of MIPS licensing.
How should the market-size figures be read?
Wave’s June 15, 2018 announcement attributed two projections to Tractica: $50 billion for AI solutions in data-center and on-premise environments, and $100 billion for solutions at the “Edge of Cloud.” These were historical market estimates cited by Wave, not revenue figures or evidence that the acquisition captured either market.
The acquisition story is therefore best understood as a strategic bet: Wave sought to add processor IP and a licensing business to its AI ambitions. The cited statements document the acquisition, announced roadmap and later restructuring, but do not demonstrate that the proposed product combination became a commercial success.
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