TPUs Are BETTER. But Why No One Uses Them?
In this video, we cover:
NVIDIA H100 vs. Google TPU: The hidden battle for AI dominance.
Von Neumann Bottleneck: Why moving data wastes more energy than doing math.
Systolic Arrays Explained: How Google designed a chip that reuses data.
ASIC vs. General Purpose GPUs: The risk of hardware rigidity in a rapidly evolving AI market.
Future of AI Hardware: Why Transformer models dictate today's chip designs and what happens if the algorithms change.
Key Technical Terms: NVIDIA H100, Google TPU v4/v5, Von Neumann Architecture, Systolic Array, Matrix Multiplication, Deep Learning Hardware, ASIC vs GPU, Large Language Models (LLMs), OpenAI, Transformer Architecture.
#nvidia #GoogleTPU #ai #h100 #semiconductors #computerengineering #techexplained #deeplearning #openai #llm #largelanguagemodels