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Designing AI Accelerators with Innovative FinFET and FD-SOI Solutions

August 6 @ 10:00 AM - 11:00 AM

Explosive data growth has led to significant power bottlenecks from the data center to the edge. Enter the Renaissance of Computing, featuring purpose-built accelerators that solve these problems, significantly speeding up AI applications such as training and model inferencing in the cloud and at the edge. Utilizing these and re-imagining architectures solves power issues that empower applications like audio, video and image processing, smart edge devices, and autonomous vehicles.

This webinar will highlight GLOBALFOUNDRIES’ unique AI solutions for both Cloud and Edge via dual FinFET (12LP and 12LP+) and FD-SOI (22FDX®) roadmap to address power bottleneck in training and inference applications. The FinFET platform features optimized standard cells and a single rail 0.55V Vdd bitcell. In contrast, 22FDX features 0.5V ULP and 1pA/cell ULL power options and eMRAM. Additionally, comprehensive IP for host communication via PCIe and memory via DDR/LPDDR/GDDR and HBM are available for both platforms to accommodate embedded or external memory AI architectures.

The speaker is Hiren Majmudar, Vice President and General Manager of the Computing Business Unit at GLOBALFOUNDRIES. In this capacity, he is responsible for P&L management of GF’s Computing Business with a focus on CPU, GPU, AI, FPGA, and Gaming customers.

Hiren has over 25 years of experience in the semiconductor industry. Before joining GF, he was Vice President of Corporate Business Development at SiFive. He has also served as Vice President and Managing Director at Intel Capital, where he led Corporate Venture Investments and M&A practice with focus on Semiconductor Design Sector. He has spent 20 years in technical and management leadership in Silicon Design, EDA & Software Development Tools, Technical Marketing, and Business Development. This webinar is in partnership with SemiWiki and GLOBALFOUNDRIES