SEALSQ Corp, a company specializing in Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced that it decentralizes AI development with cost-effective post-quantum semiconductors, paving the way for a decentralized and sustainable AI future.
To realize the potential of decentralized AI, robust hardware capable of supporting secure, efficient, and scalable systems is essential. SEALSQ’s post-quantum semiconductors are at the forefront of this technological evolution. SEALSQ has developed post-quantum semiconductors with an R&D investment of approximately $10 million, achieving results comparable to those of tech giants that have invested a lot more on R&D development.
The emergence of China’s DeepSeek, a highly efficient and cost-effective large language model (LLM), presents a pivotal moment to reassess how AI is developed, deployed, and sustained. DeepSeek’s open-source model has achieved near-parity with GPT-4-level performance at a fraction of the computing power and training costs, challenging the status quo of resource-intensive AI. This shift calls for a decentralized approach to AI development and underscores the need for robust, efficient, and secure technologies like post-quantum semiconductors.
Current AI models, predominantly developed by Western tech giants, demand vast computational resources and energy. The training of models like GPT-4 consumes enormous power, exacerbating environmental concerns and raising questions about sustainability. The high R&D costs associated with cutting-edge AI development make it inaccessible to smaller players. In contrast, DeepSeek trained its LLM with 671 billion parameters for just $5.6 million, challenging the economic viability of current AI practices. The success of DeepSeek also underscores how China has managed to bypass restrictions on semiconductor exports, achieving groundbreaking advancements despite limited access to Western technology. This questions the effectiveness of export controls and highlights the need for diversified, decentralized AI approaches.
Decentralized AI powered by open-source frameworks like DeepSeek can break the monopoly of centralized tech giants, enabling global participation and innovation in AI development. Localized AI processing can significantly reduce the carbon footprint associated with centralized data centers. Open-source advancements in model efficiency, as seen with DeepSeek, further amplify these benefits. Decentralized AI systems enhance transparency and trust. Open-source models allow communities to audit, modify, and improve systems collaboratively, reducing vulnerabilities and promoting equitable access.
To realize the potential of decentralized AI, robust hardware capable of supporting secure, efficient, and scalable systems is essential. SEALSQ’s post-quantum semiconductors are at the forefront of this technological evolution. SEALSQ has developed post-quantum semiconductors with an R&D investment of just $10 million, achieving results comparable to those of tech giants that have invested a lot more on R&D development . This demonstrates that innovation is not merely a function of capital but of strategic focus and expertise. SEALSQ’s chips ensure decentralized AI infrastructures are secure against future adversarial quantum attacks. Optimized for integration into IoT and edge devices, they support energy-efficient, high-performance AI operations, aligning with the demands of lightweight, distributed systems. Their cost-efficient and secure hardware levels the playing field, empowering smaller companies and organizations to compete with established tech giants in AI innovation.
DeepSeek’s model efficiency and SEALSQ’s cost-effective hardware challenge the narrative that high-performance AI requires exorbitant resources. This could slow the growth in computing power demand while democratizing access to advanced AI technologies. DeepSeek’s success highlights the resilience and adaptability of China’s AI industry, raising questions about whether US export restrictions have failed to curb China’s advancements. The combination of efficient models like DeepSeek and SEALSQ’s semiconductors sets the stage for a decentralized AI ecosystem that is accessible, sustainable, and secure.
To ensure the future of AI is both equitable and sustainable, governments and private sectors must support innovation in post-quantum semiconductors like those from SEALSQ to power decentralized AI securely and efficiently. Encouraging open-source AI frameworks will democratize innovation, foster global collaboration, and reduce dependence on monopolistic AI development. The industry must prioritize energy-efficient models and hardware to minimize environmental impact while maintaining high performance. Cross-border cooperation in AI development, particularly in decentralized and open-source frameworks, can bridge gaps and ensure inclusive progress.
The emergence of DeepSeek and the innovative efficiency of SEALSQ’s post-quantum semiconductors represent a pivotal opportunity to redefine AI development. By decentralizing power, reducing resource intensity, and leveraging secure, cost-effective technologies, the global AI ecosystem can become more sustainable, inclusive, and resilient against future challenges. This paradigm shift will not only benefit technological progress but also uphold ethical and environmental values in the AI era.
