DeepSeek has published new research outlining the technical direction of its upcoming DeepSeek V4 model, focusing on architectural efficiency rather than brute-force scaling.
The company is exploring sparse model designs, modular components, and memory-efficient computation to overcome hardware bottlenecks such as GPU shortages and memory limits. These innovations aim to deliver frontier-level performance while reducing compute costs and reliance on top-tier hardware.
By rethinking model architecture instead of simply increasing parameter counts, DeepSeek positions V4 as a more scalable and sustainable alternative in the global AI race, particularly under tightening chip export restrictions.
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