Cost reduction is a significant challenge for companies of all sizes involved in the design of complex chips, necessitating effective resource management to control design expenses.
Within the chip design market, there's a growing demand for automated solutions to aid in resource prediction, planning, and analysis. Emerging AI-based technologies hold promise in addressing resource management needs.
While modern chip design increasingly leans towards cloud-based computing servers, the crucial question remains: When is it opportune to transition from on-premise to cloud-based servers?
To access to the replay of our dedicated webinar, "AI-Based Resource Tracking & Prediction of Computing Servers For Chip Design Projects," and learn more.