How Much Will That Chip Cost?
Ed Sperling, SemiEngineering
March 27th, 2014
From the leading edge of design to older process nodes, development costs are being contained much better than the initial reports would indicate. But not always for the obvious reasons.
From the most advanced process nodes to the trailing edge of design there is talk about the skyrocketing cost of developing increasingly complex SoCs. At 16/14nm it’s a combination of multi-patterning, multiple power domains and factoring in physical and proximity effects. At older nodes, it’s the shift to more sophisticated versions of the processes and new tools to work within those processes.
Despite an industry-wide sense of despair, though, progress is being made on all fronts—either with tools or methodologies or platform approaches that rely heavily on reuse. While projections show it will cost as much as $300 million to develop new SoCs at the leading edge (see chart below), the real numbers are generally much lower—generally between $20 million and $50 million, providing there is plenty of reusable IP. And at older nodes, improvements in processes can allow chipmakers to stay exactly where they are and still eke one or two generations of devices out of the same node. It’s not all good news — it’s still expensive, difficult and often frustrating — but neither is it all bad news.
Related Semiconductor IP
- General use, integer-N 4GHz Hybrid Phase Locked Loop on TSMC 28HPC
- JPEG XL Encoder
- LPDDR6/5X/5 PHY V2 - Intel 18A-P
- ML-KEM Key Encapsulation & ML-DSA Digital Signature Engine
- MIPI SoundWire I3S Peripheral IP
Related News
- DAC 2011: How to Respond to the ITRS SoC Design Cost Slide
- Intel Holds Qualcomm at Bay to Lead 2012 Embedded Processor Vendor Share Ranking, But for How Much Longer?
- How Will Deep Learning Change SoCs?
- Imagination announces that 2016 will be "the year of MIPS"
Latest News
- Mixel MIPI IP Integrated into Automotive Radar Processors Supporting Safety-critical Applications
- GlobalFoundries and Navitas Semiconductor Partner to Accelerate U.S. GaN Technology and Manufacturing for AI Datacenters and Critical Power Applications
- VLSI EXPERT selects Innatera Spiking Neural Processors to build industry-led neuromorphic talent pool
- SkyWater Technology and Silicon Quantum Computing Team to Advance Hybrid Quantum-Classical Computing
- Dnotitia Revolutionizes AI Storage at SC25: New VDPU Accelerator Delivers Up to 9x Performance Boost