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
- 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
- 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
- Bluetooth set as short range wireless standard for smart energy!
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