Deepseek is designing its own AI chip

2026-07-07 · Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Chinese startup Deepseek is developing its own AI chip, as reported by Reuters on July 7, 2026. This chip is specifically designed for inference, the process where a trained model generates user responses, rather than for training new models. The strategic move aims to decrease Deepseek's dependence on existing chips from Nvidia and Huawei. The project remains in its initial phases, with Deepseek actively engaging chip design, manufacturing, and memory companies, and discreetly recruiting chip engineers for several months. The initiative faces challenges from US export controls, which restrict Chinese companies' access to advanced chips and memory. Concurrently, Deepseek is seeking its first external capital, targeting \$7 billion at a valuation between \$52 billion and \$59 billion.

Key takeaway

For investors evaluating AI startups, Deepseek's move to design its own inference chip signals a strategic effort to mitigate supply chain risks and optimize operational costs. You should consider this vertical integration trend as a key differentiator for long-term viability, especially given US export controls impacting chip access. Your due diligence should assess a company's progress in custom silicon development and its potential to reduce reliance on dominant chip manufacturers like Nvidia.

Key insights

Deepseek, like other AI leaders, is developing custom inference chips to reduce external hardware dependency and control costs.

Principles

• Custom AI hardware reduces reliance on external vendors.
• Inference-specific chips optimize performance and cost.
• Geopolitical factors influence chip supply chains.

In practice

• Evaluate custom silicon for inference workloads.
• Diversify AI hardware supply chain strategies.
• Monitor geopolitical impacts on chip access.

Topics

• AI Chips
• Inference Hardware
• Deepseek
• NVIDIA
• Huawei
• US Export Controls
• AI Startup Funding

Best for: AI Hardware Engineer, Director of AI/ML, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.