Category Archives: ASIC Design

Your BOM Is Too High: 6 Ways ASIC Integration Cuts Cost

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Most teams discover their BOM problem too late.
 
At first, BOM cost is acceptable. Volumes are low, margins are flexible, and speed matters more than optimization. Over time, however, BOM cost stops being a technical detail and becomes a business constraint.
 
Prices can’t come down. Margins compress. Procurement

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Power Is Killing Your Product: When ASIC Beats FPGA on Efficiency

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Power problems rarely show up as a single failure.
 
They appear as small compromises: a bigger battery, a thicker enclosure, a thermal pad, a lower clock speed, a disabled feature. Each compromise feels manageable. Over time, they shape the product in ways no one originally intended.
 
For many

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From MPW to Production: What Changes After First Silicon

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For many teams, MPW feels like the goal.
 
First silicon arrives. The chip powers up. Basic functionality works. There is a strong sense of relief, and sometimes the assumption that the hardest part is over.
 
In reality, MPW success is the beginning of a different phase, not the

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ASIC RFQ Explained: What Vendors Need to Quote You Accurately

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One of the most frustrating moments in an ASIC project is asking for quotes and receiving answers that feel unusable.
 
Wide cost ranges. Long timelines. Follow-up questions that seem endless. From the outside, it can feel like vendors are being evasive. From the vendor side, the problem is usually

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7 Reasons ASIC Projects Fail (and How to De-risk Early)

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Most ASIC projects do not fail because the idea was bad.
 
They fail because risk was misunderstood, hidden, or postponed. By the time problems become visible, the project is already expensive, politically difficult to stop, and painful to fix.
 
The uncomfortable truth is that most ASIC failures are

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65nm vs 40nm vs 28nm: How Teams Choose a Node in Practice

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Choosing an ASIC node is one of the easiest ways to add cost and risk without realizing it.
 
Many teams assume that the most advanced node automatically delivers the best product. In practice, experienced teams do the opposite: they choose the least aggressive node that still meets the product

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