Arm's Cloud EDA Success: Two Paths to Greater Value
Do you struggle with limited on-site computing resources and less-than-par productivity, and do you need to wait to launch the important design verification tasks? We are witnessing a revolution in electronic design driven to keep up with ever-increasing customer expectations and data-centric applications. The semiconductor industry has moved to minute lithographies to enable this transformation. However, with the shrinking feature sizes in SoCs, the verification is getting complex due to increased transistor count, insufficient compute hours, and limited on-premises resource availability. Waiting and competing for resources in an on-premises landscape may lead to missing project deadlines and costs both time and money. So, verification teams need faster processing and many more resources to complete the verification in time, so there is an exponential increase in computational demands for EDA tools.
To read the full article, click here
Related Semiconductor IP
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression IP
Related Blogs
- EDA in the Cloud: Astera Labs, AWS, Arm, and Cadence Report
- What does Amazon's multiday cloud outage mean for EDA cloud services?
- Amazon's cloud service crash permanently lost data. Think this has implications for EDA?
- Jasper CEO talks EDA success
Latest Blogs
- World's First Standards-Compliant 112G PHY IP for Linear Optics: A Turning Point for AI Interconnects
- One Key for Every Door: How Aliro Extends the UWB Digital Key Beyond the Car
- Reprogrammable Post-Quantum Security for SoCs: Why Crypto-Agility Matters
- Designing the Beam Steering Core for a C-Band AESA: A Look at VSI's VBF0644 GaAs Beamformer IC
- Secure Boot for embedded systems: Building a complete chain of trust