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On the Eve of the Quantum Computing Wave: Why Nvidia Might Emerge as the Biggest Winner?

Amidst the prevailing market perception that quantum computing remains a distant, sci-fi concept, Barclays' latest research challenges this view, arguing that the technology is on the verge of transitioning from a "lab toy" to a commercial tool. The report highlights several key misconceptions: First, quantum computing is not "too early"; the industry is approaching a watershed moment around 2026–2027 when "quantum advantage" is expected to be demonstrated, requiring stable operation of 100 logical qubits. Second, quantum computers will not replace classical systems like GPUs but instead complement them. Each logical qubit may require a GPU for error correction and control, potentially driving significant demand for chips from companies like NVIDIA and AMD, with projected incremental value exceeding $100 billion by 2040. Third, hardware approaches are not equal. Trapped ions currently lead in precision, silicon spin offers scalability potential, and neutral atoms excel in qubit count. Fourth, quantum computers are not yet powerful enough to break modern encryption, requiring thousands of logical qubits—far beyond current capabilities. Finally, the investment landscape is broader than often assumed, with opportunities across quantum processors, supply chains, semiconductor manufacturing, and enabling infrastructure, spanning both public and private companies.

比推Ayer 15:01

On the Eve of the Quantum Computing Wave: Why Nvidia Might Emerge as the Biggest Winner?

比推Ayer 15:01

NVIDIA's $2 Billion Investment in CoreWeave: The Industrial Revolution of Crypto Computing Power Transitioning to AI

NVIDIA has announced a strategic investment of $2 billion in CoreWeave’s Class A common stock, marking a pivotal shift of crypto mining infrastructure toward AI compute. CoreWeave, originally a major Ethereum PoW mining operator, transitioned to AI cloud services after Ethereum’s move to Proof-of-Stake. The investment supports CoreWeave’s goal to build over 5 gigawatts of AI infrastructure by 2030, representing nearly one-third of global AI compute capacity. This move accelerates the transformation of crypto mining firms with idle GPU resources into AI service providers, improving global compute efficiency and creating a “dual-track” model where GPU clusters can serve both crypto and AI workloads. The deal also strengthens the link between crypto and AI ecosystems, enabling new applications such as AI-generated NFTs, on-chain AI inference, and AI-powered DeFi. Capital markets have responded positively, with rising valuations for mining firms like Hut 8 and Iris Energy. Tokens reliant on GPU compute, such as RNDR and Akash, also stand to benefit. However, risks include potential GPU shortages for smaller mining coins and increased regulatory scrutiny as companies like CoreWeave operate under stricter compliance frameworks. Overall, NVIDIA’s investment signifies a major convergence of crypto and AI compute, reshaping value models and laying the foundation for a new era of integrated AI and Web3 applications.

marsbit01/27 13:38

NVIDIA's $2 Billion Investment in CoreWeave: The Industrial Revolution of Crypto Computing Power Transitioning to AI

marsbit01/27 13:38

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