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
- Chiplet Die-to-Die Interconnect IP Solution
- High speed MACsec Engine 100G/200G/400G/800G/1.6T
- Temperature/Voltage sensors
- AMBA Bus Host to eSPI Controller/Target
- AMBA Bus Host to eSPI Controller
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
- Cadence Achieves Successful Silicon Validation of 1st IP Test Chips on Intel 18A
- From Classical CAN and CAN FD to CAN XL: Functional Safety and Security for Next-Generation In-Vehicle Communication
- Accelerating Embedded Memory Performance with 16-bit xSPI PSRAM IP
- Why nonce reuse can break AES-GCM security in embedded systems
- PQSecure™-Agility Earns NIST CAVP Validation