Why You Need to Consider Energy Efficiency of Your HPC SoC Early On
Data centers and data transmission networks consume around 1% of the world’s electricity. As AI becomes increasingly pervasive, the demands of neural networks and large language models on the underlying hardware and software infrastructure will rise dramatically. Estimates vary as far as how much of an impact we’ll see in the coming years. At the extreme side is the prognosis that energy consumption will eventually outpace global electricity supply.
Regardless of which estimates are correct, it’s clear that energy consumption of hyperscale data centers is a dire concern that must be addressed now. How can we create more power-efficient SoCs for high-performance computing (HPC) applications—without sacrificing the performance goal?
In this blog post, I’ll highlight why it’s critical to adopt a shift-left mentality and address your design’s energy efficiency at the start. Read on to learn more about tools and techniques for low-power designs.
To read the full article, click here
Related Semiconductor IP
- Very Low Latency BCH Codec
- 5G-NTN Modem IP for Satellite User Terminals
- 400G UDP/IP Hardware Protocol Stack
- AXI-S Protocol Layer for UCIe
- HBM4E Controller IP
Related Blogs
- Unleashing Innovation and Energy Efficiency at TSMC Events
- Driving Higher Energy Efficiency in Automotive Electronics Designs
- ReRAM-Powered Edge AI: A Game-Changer for Energy Efficiency, Cost, and Security
- Epson Achieves 50% Energy Efficiency with QuickLogic eFPGA
Latest Blogs
- Embedded Security explained: Post-Quantum Cryptography (PQC) for embedded Systems
- Accreditation Without Compromise: Making eFPGA Assurable for Decades
- Synopsys Delivers First Complete UFS 5.0 and M‑PHY v6.0 IP Solution for Next‑Gen Storage
- World First: Synopsys MACsec IP Receives ISO/PAS 8800 Certification for Automotive and Physical AI Security
- Last-level cache has become a critical SoC design element