MIPS is launching its Atlas chip designs for bodily AI platforms comparable to industrial robots and autonomous automobiles.
The intention is to drive real-time intelligence into bodily AI, stated Sameer Wasson, CEO of MIPS, in an interview with GamesBeat.
The brand new MIPS Atlas product suite delivers compute subsystems that empower autonomous edge options to sense, suppose and act with precision, driving innovation throughout the rising bodily AI alternative in industrial robotics and autonomous platform markets.
San Jose, California-based MIPS is concentrating on its MIPS Atlas portfolio at automotive, industrial and embedded know-how firms to allow them to deploy protected, safe and environment friendly bodily AI on the edge. By combining excessive efficiency real-time computing with practical security and edge deployment of put up generative AI fashions, the Atlas product suite allows the event of subsequent technology autonomous platforms to deal with the estimated $1 trillion bodily AI market alternative.
Creativeness offered MIPS to Tallwood Enterprise Capital in 2017. Then Wave Computing bought MIPS in 2018. However Wave Computing declared chapter in 2020, and MIPS introduced that it might abandon the MIPS structure in favor of RISC-V designs. MIPS began launching its RISC-V chip designs in 2022.
At CES 2025, Nvidia CEO Jensen Huang stated that the age of bodily AI — with self-driving automobiles and robots — can be accelerated due to artificial information. That’s the usage of simulations to check information for issues like self-driving automobiles in digital twins earlier than they’re deployed in the actual world. That artificial information enhances the bodily world information, accelerating the time it takes to totally take a look at a product.
He famous MIPS is just not competing with Nvidia on constructing AI brains. Reasonably, MIPS is constructing management techniques with AI constructed into it for real-time controllers. He stated to anticipate merchandise on this area in 2026.
“The need for efficient autonomous platforms to advance next-generation driverless vehicles, factory automation, and many other applications is directly aligned with the MIPS Atlas portfolio,” stated Wasson. “Our core competencies of safety, efficient data processing and experience in autonomy have enabled us to expand our portfolio with real-time intelligence that is the essential tech stack for Physical AI platforms. MIPS customers can take our compute subsystems with software stacks as a turnkey solution to build physical AI platforms.”
James Prior, advertising government at MIPS stated in an interview with GamesBeat that MIPS is offering a portfolio of options for its strategy to bodily AI, which includes real-time processing, information motion, customized compute and practical security to allow the world’sindustrial robotics and automation suppliers with what they should construct bodily AI platforms.
“The reason for that is we analyzed the physical AI problem as three different computing issues. There’s the sense, think and act,” he stated.
Sensing helps robots see the world round them an make choices with AI fashions. It computes options to issues based mostly on fashions which are skilled in simulation, after which it turned that call into motion for robots to take.
The MIPS Atlas portfolio is constructed to offer turn-key enablement for the three classes of computing that make up bodily AI – Sense, Assume, and Act. Bodily AI platforms interpret their environment utilizing a various array of sensors, producing information that have to be seamlessly transferred, built-in, and processed in actual time.
This information is processed by the platform’s embedded AI engine to allow quick, non-public determination making for protected and exact actions. Motion, wanted for the dexterous management of motors and actuators, is enabled through real-time compute platforms able to extremely low latency control-loop processing in robotic actions.
“The MIPS Atlas portfolio aligns tightly with the compute requirements for physical AI and robotics, “ said Jim McGregor, principal analyst at Tirias Research, in a statement. “Working with its customers, MIPS provides a unique multi-threaded architecture with optimized instructions to deliver event-driven low-latency performance along with system-level workload analysis via the Atlas Explorer. MIPS is in a unique position to fill the need for emerging physical AI platforms.”
The brand new MIPS Atlas portfolio of M8500, I8600, and S8200 options ship these capabilities as utility particular turnkey enablers. Enabled by the MIPS Atlas Explorer software program platform, prospects can make use of shift-left methodology to develop and deploy their purposes with MIPS Atlas subsystems in a digital twin universe for quicker time to market. Choose prospects will have the ability to consider the MIPS M8500 real-time compute subsystem with Atlas Explorer in mid-2025, with analysis boards in 4Q25, and reference silicon platforms out there in 1H26. A MIPS buyer automotive platform that includes M8500 is anticipated to start out manufacturing in 2027.
“The MIPS Atlas portfolio represents a significant leap forward in enabling Physical AI at the edge, delivering the real-time compute power needed for autonomous platforms to thrive in industrial and automotive applications,” stated Steven Dickens, CEO at HyperFRAME Analysis, in a press release. “By integrating safety, efficiency and cutting-edge intelligence, MIPS is well-positioned to accelerate innovation across the rapidly expanding $1 trillion Physical AI market.”
A 40-year-old firm, MIPS is utilizing the RISC-V structure to drive intelligence into motion for automotive and industrial firms with the MIPS Atlas portfolio of Sense, Assume and Act by pushing the boundaries of autonomous platforms. MIPS is an exhibitor at Embedded World 2025 from March eleventh – thirteenth, in Nuremburg, Germany.
MIPS additionally introduced a wide range of different chip design merchandise, together with the MIPS S8200 bodily AI subsystem for bodily AI on the edge. It additionally introduced the MIPS I8600 compute subsystem for sensor information motion, the M8500 real-time compute subsystems and extra.
A brand new id for MIPS
MIPS is making silicon for bodily AI like robots and self-driving automobiles.
“This announcement should help build the identity of what we’re trying to do MIPS,” Wasson stated. “While our technology is applicable to multiple markets, the market which we are solely focusing on with all our energy is the automotive embedded side, the physical AI side,” Wasson stated.
Wasson stated that in the event you’ve ever seen an autonomous lawnmower, you’ll comprehend it sort of sucks at doing job chopping your garden. That’s as a result of the bodily AI downside hasn’t been solved appropriately but. He stated a garden is just not straight and grass can’t be lower with one thing like a robotic vacuum. The grass adjustments in refined methods, and it takes actual bodily AI to resolve such issues.
“I’m not becoming a lawnmower company, but it’s an example of where we’re trying to build a system. So when you think of robotics, the same lawnmower problem exists across the board on multiple robotic assessments. And what we’re trying to do is bring AI in the closed loop of a control. And if you can do that successfully with the processing capabilities that we have.”
He famous that MIPS is creating all the constructing blocks of subsystems which are wanted in autonomous automobiles and bodily robots.
“MIPS has been very IP focused in the past,” he stated. “We are now starting to expand into beyond IP. We have building blocks for this, but we are also coming out with reference silicon, with the board, with the ecosystem. We are proving out the ecosystem of the software side so that people are ready to go and can start replicating it very easily.”
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