Physical AI will enable the next generation of autonomous robots to sense the world around them, think to create a plan based on their role and situational understanding, and act to implement that plan. The combination of functionally safe computing and real-time computing combined with multi-modal AI will drive intelligence into action for the $1T […]
Introducing the MIPS Atlas Portfolio for Physical AI Read More »
Autonomous platforms sense the world around them with a variety of inputs, from radar, lidar, and cameras, to gyroscopes, accelerometers, and atmospheric sensors. These sensors are rapidly increasing in fidelity with more resolution, color depth, accuracy, and increased sampling periods generating exponentially more data. Fusing this data together, establishing priorities and the right data formats,
Introducing MIPS Sense data movement engines Read More »
The age of physical AI is approaching, taking the virtual world of digital twins and move it into the physical world of autonomous platforms that can understand the world around them and make decisions, and quickly adapt to new tasks. Today’s robots specialize in narrowly defined tasks, built for simple automation of repetitive behavior. The
Real-Time Intelligence for Physical AI at the Edge Read More »
The advent of physical AI promises to deliver autonomous platforms that are more able to operate in the changing world around them. Decisions made by the physical AI models need to be enacted by robots that move in a safe, precise manner. With physical AI models using reinforcement learning to understand the world, the next-generation
Moving the World with MIPS M8500 Real-Time Compute Solutions Read More »
For years, the industry has advocated for “shifting left” in software development. This methodology allows software teams to begin their work earlier, leveraging virtual platforms for algorithm and application development. By aligning hardware and software teams from the start, the process becomes more efficient, catching specification vagaries early. Instead of waiting for hardware to be
The Shift-Left Approach to Software Development Read More »
The new MIPS Atlas product suite delivers cutting-edge compute subsystems that empower autonomous edge solutions to sense, think and act with precision, driving innovation across the growing physical AI opportunity in industrial robotics and autonomous platform markets. SAN JOSE, CA. – March 4th, 2025 – MIPS, the world’s leading supplier of compute subsystems for autonomous
MIPS Drives Real-Time Intelligence into Physical AI Platforms Read More »
As analysts anticipate a gradual recovery of the global economy in 2025, technology will play a critical role.
MIPS: Enabling Tech-Driven Recovery Across Key Industries Read More »
MIPS is celebrating its 40th anniversary as a compute IP company this year. Known for a RISC instruction set, the company has risen and fallen, was private, then owned by SGI, was private again for a while, then Imagination Technologies owned it for several years, sold to a VC, Tallwood, in 2017, and then owned by Wave Technologies briefly before returning to the same VC hands.
Introduction The rise of AI has unleashed an insatiable demand for faster, smarter, and more scalable data center networks. As GPUs and accelerators become the backbone of AI training and inference, traditional network designs struggle to keep up with the explosive growth in data and computational intensity. The network is no longer just for connectivity
Reimagining AI Infrastructure: The Power of Converged Back-end Networks Read More »
MIPS CEO Sameer Wasson discusses the company’s approach to RISC-V and how its P8700 RISC-V cores stack up against the competition.
Not All RISC-V IP is the Same Read More »
