Driving Intelligence into Action
The technology stack for Physical AI: Sense, Think, & Act
MIPS compute platforms deliver turnkey solutions for Physical AI application-specific platforms.
MIPS is leading the innovation of advanced compute solutions that enable physical AI in autonomous automotive and industrial platforms.
MIPS is combining high-performance real-time computing with functional safety and the edge deployment of post-generative AI models with the MIPS Atlas portfolio of Sense, Think, and Act subsystems for autonomous platforms.
The Essential Tech Stack for Physical AI
Sense:
The MIPS Sense product line of data movement engines enables autonomous platforms to rapidly process data
Think:
The MIPS Think product line of AI engines will enable mixture-of-experts inference at the edge
Act:
The MIPS Act product lines of real-time compute enables precise motor control and increased efficiency for physical AI systems
Scalable
Efficient
Configurable
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Latest News & Blogs
Innovation Starts at Product Inception
- May 1, 2025
Hot Stuff: MIPS Atlas Portfolio for Physical AI
- March 18, 2025
Physical AI Advances with MIPS’ Atlas Compute Subsystems
- March 10, 2025
MIPS launches Atlas chip designs for industrial robots and autonomous cars
- March 4, 2025
MIPS Takes System-Level Approach to Physical AI
- March 4, 2025
Compute subsystems bring real-time intelligence to AI platforms
- March 4, 2025
In the News Highlights
This development is significant both for MIPS in that it is a big move up the value chain, utilizing its experience from the automotive and advanced driver assistance systems (ADAS) data processing world and translating it into the bigger market opportunity from physical AI; more broadly, in terms of how silicon IP vendors obtain more value from the rapid growth in semiconductors where the fabless model is often described as not fit-for-purpose anymore.
The MIPS Atlas portfolio aligns tightly with the compute requirements for physical AI and robotics. 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 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. By integrating safety, efficiency and cutting-edge intelligence, MIPS is well-positioned to accelerate innovation across the rapidly expanding $1 trillion Physical AI market.
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Explore MIPS’ Market Leadership
MIPS has a long history of delivering silicon-proven solutions, with an architecture designed into billions of chips to date across markets including automotive, data center, embedded, and more. Get in touch with the new MIPS.
Automotive
- Better Performance and Throughput Efficiency: 5× faster, 40% better system throughput through multi-threading innovation
- AI Accelerator: Offload Core Processing: 30% better AI stack software utilization and efficiency
- Proven Automotive Solution: Deployed in 70% ADAS for L2+ front facing cameras globally
- Cost-Effective and Scalable: From real-time latency sensitive cores to high-performance multi-core/cluster chiplets.
Industrial
- Power efficient and scalable: delivering high performance compute within the power and capacity constraints of today’s data centers with coherent multi- to many-core architecture.
- Our multi-threading architecture enables faster data movement between and within heterogeneous computing elements like multiple CPUs, GPUs, DPUs, AI, and storage solutions.
Edge AI
- Designed for simplicity and efficiency: enabling compact code sizes for edge applications, helping to optimize storage and enhance overall system performance.
- MIPS Compute Cores can be easily and coherently integrated alongside other processors, accelerators and compute subsystems while allowing customization for unique requirements of embedded applications.
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