The AI Semiconductor Stack
Photo by Jelleke Vanooteghem on Unsplash The use cases of Artificial Intelligence are increasing year after year. To deliver the much-required performance, the silicon technology platform is critical. The computing industry has developed different types of AI-inspired applications and is now looking for a perfect silicon architecture that can cater to different application scenarios. In this process, the semiconductor industry has provided the silicon platforms like GPUs, TPUs, NPUs, and AIUs. The common trait across these silicon platforms has been the internals on how different data processing occurs. Eventually, the AI applications require high throughput to ensure the time taken to perform inference and training is the smallest possible. Memory Management: AI Semiconductor Stack Demands Speedy And Error-Free Data Movement Via Memory Stacks. Data Storage: Enabling On-The-Go Analysis Requires Silicon […]
