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
- eDP 2.0 Verification IP
- Gen#2 of 64-bit RISC-V core with out-of-order pipeline based complex
- LLM AI IP Core
- Post-Quantum Digital Signature IP Core
- Compact Embedded RISC-V Processor
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
- Enhancing PCIe6.0 Performance: Flit Sequence Numbers and Selective NAK Explained
- Smarter ASICs and SoCs: Unlocking Real-World Connectivity with eFPGA and Data Converters
- RISC-V Takes First Step Toward International Standardization as ISO/IEC JTC1 Grants PAS Submitter Status
- Running Optimized PyTorch Models on Cadence DSPs with ExecuTorch
- PCIe 6.x: Synopsys IP Selected as First Gold System for Compliance Testing