There has recently been a lot of articles about designing chips with AI (artificial intelligence) in them. TechExplore recently discussed recent trends and how the costs are affecting the manufacturing of chips. A McKinsey study highlights that this could bring in close to US $13 trillion to the global economy by 2030.
The amount of simulations and verifications companies need to implement is continuously growing. This also means there is an increase of smaller and more powerful integrated circuits (IC). This means the teams that are designing these chips often use a number of different engineering tools.
In the case of chip design, consider all of the various input features including:
- Design variables of the circuit
- Transistor length
- Temperature, etc.
With goals such as:
- Power consumption
- Other performance criteria and chip area.
With ever growing advancements, engineering teams need to think about how to best implement engineering license optimization. As companies are moving license servers and there are changes in project timelines (whether projects are frozen or re-started). LAMUM is helpful to see all of the information all of the engineering licenses in one place holistically.
The EDA tools can be very expensive and thus increasing the cost of developing the chips. What if there was a solution that could help companies save significant resources? We have helped companies save on average ~20%.