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SEALSQ Decentralizes AI Development with Cost-Effective Post-Quantum Semiconductors, Paving the Way for a Decentralized and Sustainable AI Future

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SEALSQ Corp (NASDAQ: LAES) announced its initiative to decentralize AI development through cost-effective post-quantum semiconductors. The company has invested approximately $10 million in R&D to develop semiconductors that achieve results comparable to major tech companies' more expensive developments.

The announcement highlights the emergence of China's DeepSeek, a large language model that achieved near GPT-4-level performance at reduced computing power and costs, training its 671 billion parameter model for just $5.6 million. This demonstrates the potential for more efficient and sustainable AI development.

SEALSQ's semiconductors are designed to support secure, efficient, and scalable systems, particularly for IoT and edge devices. The technology aims to democratize AI development by providing cost-efficient hardware that enables smaller organizations to compete with established tech giants while ensuring protection against future quantum attacks.

SEALSQ Corp (NASDAQ: LAES) ha annunciato la sua iniziativa per decentralizzare lo sviluppo dell'IA tramite semiconduttori post-quantum economici. La società ha investito circa 10 milioni di dollari in R&S per sviluppare semiconduttori che raggiungono risultati comparabili a quelli delle maggiori aziende tecnologiche, ma a costi inferiori.

L'annuncio evidenzia l'emergere di DeepSeek in Cina, un modello linguistico di grandi dimensioni che ha raggiunto prestazioni simili a quelle del GPT-4 con una potenza di calcolo e costi ridotti, addestrando il suo modello da 671 miliardi di parametri per soli 5,6 milioni di dollari. Questo dimostra il potenziale di uno sviluppo dell'IA più efficiente e sostenibile.

I semiconduttori di SEALSQ sono progettati per supportare sistemi sicuri, efficienti e scalabili, in particolare per dispositivi IoT e edge. La tecnologia punta a democratizzare lo sviluppo dell'IA fornendo hardware a costi contenuti che consente a organizzazioni più piccole di competere con i colossi tecnologici affermati, garantendo al contempo protezione contro futuri attacchi quantistici.

SEALSQ Corp (NASDAQ: LAES) anunció su iniciativa para descentralizar el desarrollo de IA a través de semiconductores post-cuánticos rentables. La compañía ha invertido aproximadamente 10 millones de dólares en I+D para desarrollar semiconductores que logran resultados comparables a los de las principales empresas tecnológicas, pero a costos más bajos.

El anuncio destaca el surgimiento de DeepSeek en China, un modelo de lenguaje grande que alcanzó un rendimiento cercano al GPT-4 con menor potencia de computación y costos, entrenando su modelo de 671 mil millones de parámetros por solo 5,6 millones de dólares. Esto demuestra el potencial para un desarrollo de IA más eficiente y sostenible.

Los semiconductores de SEALSQ están diseñados para apoyar sistemas seguros, eficientes y escalables, particularmente para dispositivos IoT y edge. La tecnología tiene como objetivo democratizar el desarrollo de IA proporcionando hardware rentable que permite a organizaciones más pequeñas competir con los gigantes tecnológicos establecidos, mientras garantiza protección contra futuros ataques cuánticos.

SEALSQ Corp (NASDAQ: LAES)는 비용 효율적인 포스트 양자 반도체를 통해 AI 개발의 분산화를 위한 이니셔티브를 발표했습니다. 이 회사는 주요 기술 기업의 더 비싼 개발과 유사한 결과를 달성하는 반도체를 개발하기 위해 약 1천만 달러를 연구 개발에 투자했습니다.

이 발표는 중국의 DeepSeek의 출현을 강조했습니다. 이 대형 언어 모델은 약 5.6 백만 달러의 비용으로 6710억 개의 매개변수 모델을 훈련시켜 GPT-4 수준의 성능에 근접했습니다. 이는 더욱 효율적이고 지속 가능한 AI 개발의 잠재력을 보여줍니다.

SEALSQ의 반도체는 IoT 및 엣지 장치에 특히 적합한 안전하고 효율적이며 확장 가능한 시스템을 지원하도록 설계되었습니다. 이 기술은 소규모 조직도 기존의 기술 대기업과 경쟁할 수 있도록 비용 효율적인 하드웨어를 제공함으로써 AI 개발을 민주화하는 것을 목표로 하며, 향후 양자 공격으로부터 보호할 수 있도록 합니다.

SEALSQ Corp (NASDAQ: LAES) a annoncé son initiative de décentralisation du développement de l'IA grâce à des semi-conducteurs post-quantiques rentables. La société a investi environ 10 millions de dollars dans la R&D pour développer des semi-conducteurs qui obtiennent des résultats comparables à ceux des grandes entreprises technologiques, mais à des coûts moindres.

Cette annonce met en lumière l'émergence de DeepSeek en Chine, un modèle de langage de grande taille qui a atteint des performances proches de celles du GPT-4 avec moins de puissance de calcul et de coûts, entraînant son modèle de 671 milliards de paramètres pour seulement 5,6 millions de dollars. Cela démontre le potentiel d'un développement de l'IA plus efficace et durable.

Les semi-conducteurs de SEALSQ sont conçus pour soutenir des systèmes sûrs, efficaces et évolutifs, en particulier pour les appareils IoT et en périphérie. La technologie vise à démocratiser le développement de l'IA en fournissant du matériel à coût réduit qui permet à des organisations plus petites de rivaliser avec les géants de la technologie établis tout en garantissant une protection contre les futures attaques quantiques.

SEALSQ Corp (NASDAQ: LAES) hat seine Initiative zur Dezentralisierung der KI-Entwicklung durch kosteneffiziente post-quanten Halbleiter bekannt gegeben. Das Unternehmen hat etwa 10 Millionen Dollar in Forschung und Entwicklung investiert, um Halbleiter zu entwickeln, die Ergebnisse erreichen, die mit den teureren Entwicklungen führender Technologieunternehmen vergleichbar sind.

Die Ankündigung hebt das Auftreten von DeepSeek aus China hervor, einem großen Sprachmodell, das mit reduziertem Rechenaufwand und Kosten eine Leistung nahe dem GPT-4-Niveau erreicht hat, indem es sein 671 Milliarden Parameter umfassendes Modell für nur 5,6 Millionen Dollar trainiert hat. Dies zeigt das Potenzial für eine effizientere und nachhaltigere KI-Entwicklung.

Die Halbleiter von SEALSQ sind darauf ausgelegt, sichere, effiziente und skalierbare Systeme zu unterstützen, insbesondere für IoT- und Edge-Geräte. Die Technologie zielt darauf ab, die KI-Entwicklung zu demokratisieren, indem sie kosteneffiziente Hardware bereitstellt, die es kleineren Organisationen ermöglicht, mit etablierten Technologiegiganten zu konkurrieren und gleichzeitig Schutz gegen zukünftige Quantenangriffe zu gewährleisten.

Positive
  • Developed post-quantum semiconductors with only $10M R&D investment, achieving competitive results
  • Technology enables secure and efficient AI operations for IoT and edge devices
  • Solutions provide cost-effective hardware access for smaller companies to compete in AI innovation
Negative
  • None.

Insights

SEALSQ's breakthrough in post-quantum semiconductors marks a pivotal development in the AI hardware space. The company has achieved a remarkable technical milestone with just $10 million in R&D investment, demonstrating exceptional capital efficiency in an industry where development costs typically run into hundreds of millions.

The timing is particularly strategic, coinciding with DeepSeek's demonstration that high-performance AI can be achieved at drastically lower costs - their 671 billion parameter model was trained for just $5.6 million. This market validation strengthens SEALSQ's value proposition for cost-effective, quantum-resistant hardware solutions.

Three key competitive advantages emerge:

  • Post-quantum security features provide future-proofing against quantum computing threats, addressing a critical concern for AI infrastructure
  • Optimized integration with IoT and edge devices enables distributed AI processing, reducing latency and data transfer costs
  • Cost-efficient production potentially enables higher margins or more competitive pricing in the semiconductor market

However, investors should consider several risk factors:

  • The semiconductor industry's cyclical nature and intense competition from established players
  • Potential challenges in scaling production to meet demand
  • Regulatory uncertainties surrounding quantum-resistant technologies and AI hardware export controls

The market opportunity is substantial, as the decentralized AI infrastructure sector is projected to grow significantly. SEALSQ's ability to deliver cost-effective, secure solutions positions them to capture market share in this emerging segment, particularly among smaller enterprises and organizations previously priced out of advanced AI hardware.

Geneva, Switzerland, Jan. 28, 2025 (GLOBE NEWSWIRE) --

SEALSQ Decentralizes AI Development with Cost-Effective Post-Quantum Semiconductors, Paving the Way for a Decentralized and Sustainable AI Future

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), 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.

About SEALSQ:
SEALSQ focuses on selling integrated solutions based on Semiconductors, PKI and Provisioning services, while developing Post-Quantum technology hardware and software products. Our solutions can be used in a variety of applications, from Multi-Factor Authentication tokens, Smart Energy, Smart Home Appliances, Medical and Healthcare and IT Network Infrastructure, to Automotive, Industrial Automation and Control Systems.

Post-Quantum Cryptography (PQC) refers to cryptographic methods that are secure against an attack by a quantum computer. As quantum computers become more powerful, they may be able to break many of the cryptographic methods that are currently used to protect sensitive information, such as RSA and Elliptic Curve Cryptography (ECC). PQC aims to develop new cryptographic methods that are secure against quantum attacks. For more information, please visit www.sealsq.com.

Forward-Looking Statements
This communication expressly or implicitly contains certain forward-looking statements concerning SEALSQ Corp and its businesses. Forward-looking statements include statements regarding our business strategy, financial performance, results of operations, market data, events or developments that we expect or anticipates will occur in the future, as well as any other statements which are not historical facts. Although we believe that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates which are inherently subject to significant uncertainties and contingencies, many of which are beyond our control. Actual results may differ materially from those expressed or implied by such forward-looking statements. Important factors that, in our view, could cause actual results to differ materially from those discussed in the forward-looking statements include the expected success of our technology strategy and solutions for IoMT Security for Medical and Healthcare sectors, SEALSQ's ability to implement its growth strategies, SEALSQ's ability to continue beneficial transactions with material parties, including a limited number of significant customers; market demand and semiconductor industry conditions; and the risks discussed in SEALSQ's filings with the SEC. Risks and uncertainties are further described in reports filed by SEALSQ with the SEC.

SEALSQ Corp is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.

SEALSQ Corp.
Carlos Moreira
Chairman & CEO
Tel: +41 22 594 3000
info@sealsq.com
SEALSQ Investor Relations (US)
The Equity Group Inc.
Lena Cati
Tel: +1 212 836-9611
lcati@equityny.com


FAQ

How much did SEALSQ (LAES) invest in developing its post-quantum semiconductors?

SEALSQ invested approximately $10 million in R&D to develop its post-quantum semiconductors.

What is the main purpose of SEALSQ's (LAES) post-quantum semiconductors?

The semiconductors are designed to support secure, efficient, and scalable decentralized AI systems, particularly for IoT and edge devices, while protecting against future quantum attacks.

How do SEALSQ's (LAES) semiconductors benefit smaller companies?

SEALSQ's cost-efficient hardware levels the playing field, enabling smaller companies to compete with established tech giants in AI innovation.

What advantages does SEALSQ (LAES) offer for decentralized AI development?

SEALSQ offers cost-effective post-quantum semiconductors that support energy-efficient, high-performance AI operations while ensuring security against quantum attacks.

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