AI Requires Tailored DRAM Solutions: Part 3
October 6, 2020
Frank Ferro, Senior Director Product Management at Rambus, and Shane Rau, Senior Research Executive at IDC, recently hosted a webinar that explores the role of tailored DRAM solutions in advancing artificial intelligence. Part two of this four-part series touched on multiple topics including how AI enables useful data processing, various types of AI silicon, and the evolving role of DRAM. This blog post (part three) takes a closer look at the impact of AI on specific hardware systems, training versus inference, and selecting the most appropriate memory for AI/ML applications.
To read the full article, click here
Related Semiconductor IP
Related Blogs
- AI Requires Tailored DRAM Solutions: Part 1
- AI Requires Tailored DRAM Solutions: Part 2
- AI Requires Tailored DRAM Solutions: Part 4
- AI Audio for Voice Enhancement: Deep into the Deep - Part 3
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility