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How Hardware Constraints Shape Superior Deliveries
In the rapidly advancing field of artificial intelligence, the race for superior models is often measured in teraflops, parameter counts, and the scale of training datasets. Yet, DeepSeek, the latest AI sensation, took a decidedly different path to arrive at its groundbreaking R1 model.
Surprisingly, it wasn’t the abundance of resources but the constraints of hardware that shaped its development. And it’s precisely these limitations that have made DeepSeek more efficient than AI giants like ChatGPT.
The Role of Constraints in Innovation
DeepSeek’s journey was constrained by limited access to high-end hardware. While competitors like ChatGPT were developed using state-of-the-art
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