How Chip Makers Are Defying Complexity and Innovating Faster
In this AI-driven era of pervasive intelligence, our silicon and systems customers face unprecedented pressure to deliver the increasing compute performance required to train LLM-based AI systems as demands double every six months. Moreover, they’re being challenged to achieve sustainable computing - exponential performance gains with increasing power efficiency. Traditional reliance on Moore's Law is no longer sufficient, as recent node transitions no longer consistently deliver the expected 2X improvement in performance, power, and area.
These challenges are compounded by an expected semiconductor workforce shortage and increasing design complexity as we march towards trillion-transistor systems by the end of this decade. And yet remarkably – contrary to these trends – the pace of semiconductor innovation is accelerating.
Just look at recent announcements from AMD and NVIDIA at Computex. These major chip makers not only showcased new AI processors featuring hundreds of billions of transistors and faster, denser memory, destined for leading-edge manufacturing nodes, they also put a spotlight on their increasing speed of innovation. Despite mounting complexity, product refresh cycles for new AI processors are contracting from 18-24 months to 12 months.
To read the full article, click here
Related Semiconductor IP
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
Related Blogs
- How AI Drives Faster Chip Verification Coverage and Debug for First-Time-Right Silicon
- The Age of AI Demands Faster Chip Development: Only Arm and Cadence Deliver
- How User Behaviour and Applications are Shaping Affordable Smartphones
- How Synopsys IP and TSMC's N12e Process are Driving AIoT
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility