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
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression 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
- 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