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DeepSeek Unveils DSpark, Boosting AI Speed Up to 85% Without Advanced Chips
DeepSeek has released DSpark, a new technology that claims to accelerate AI processing by up to 85% without requiring advanced hardware, with the main model verifying answers in groups.
Chinese AI company DeepSeek has unveiled DSpark, a new technology that reportedly accelerates AI processing speed by up to 85% without relying on advanced chipsets, as reported by Inshorts on June 29, 2026.
DSpark's core innovation lies in algorithmic optimizations that dramatically improve AI model efficiency, thereby reducing dependency on high-end hardware. The report also notes that DeepSeek's main model employs a group-based answer verification mechanism to ensure output quality.
DeepSeek, known for its R1 and V2 series of AI models, has been a notable player in the global AI race. If DSpark delivers on its claimed performance gains, it could significantly lower the hardware barrier for AI deployment, enabling more organizations and developers to run advanced AI models on cost-effective infrastructure.
The report was published by Inshorts on June 29, 2026.
Why it matters
If DSpark achieves the claimed 85% speed improvement without high-end chips, it could substantially reduce AI inference hardware costs, potentially reshaping the economics of AI deployment — especially for resource-constrained developers and enterprises.