AI Hardware refers to specialized computing components designed to efficiently execute artificial intelligence workloads such as neural network training and inference. These systems include GPUs, TPUs, FPGAs, and custom accelerators optimized for parallel processing, high memory bandwidth, and low latency. AI hardware supports applications in data centers, edge devices, and embedded systems, enabling scalable and energy-efficient deployment of machine learning models.
Eric C. Blow of NEC Laboratories America presents a keynote at COOL Chips 29 in Tokyo, exploring multi-modal photonic computing for real-time, ultra-efficient inference. This work highlights how photonics is reshaping AI performance, enabling faster and more energy-efficient processing across next-generation systems.
Princeton Office
4 Independence Way, Suite 200
Princeton, NJ 08540
+1 609-520-1555
San Jose Office
2033 Gateway Place, Suite 200
San Jose, CA 95110
+1 408-863-6007
NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.