딥시크 개발비 100배 증거 공개?/ 충격, O3-mini가 딥시크보다 더 싸다...GPU더 팔린다고?

Despite the expectation of increased demand for GPUs after DeepSea, the actual paradox is that as supply becomes more efficient, demand increases. This is evident in the price surge of GPUs post DeepSea release.

The demand for graphic cards is unexpectedly rising even as some predicted a decrease in demand. The increase in demand is fueled by the growing popularity of artificial intelligence.

Sanctions imposed on GPU choices, such as the downgrade from H2 to H, reflect economic and political factors affecting the availability and export of GPUs.

The total cost of graphics cards multiplied by the number of servers amounts to a significant price, with operational costs reaching billions of dollars. However, there are discrepancies in cost calculations highlighting the complexity of GPU investment and usage.

DeepSea R1 offers improved speed and performance compared to its predecessors, showcasing significant advancements in AI capabilities. Benchmarks indicate high scores and efficiency even in complex scientific and engineering tasks.

The continuous advancement of AI technologies, such as DeepSea, signifies a shift towards more efficient and cost-effective solutions. The evolving landscape of AI development is driven by the need for enhanced computing power and improved consumer products.