Investment Summary We raise our price target to $31.32 and reiterate our BUY rating on SAIHEAT. Recent developments—patent approval for its SMR control rod technology, sweeping U.S. nuclear policy reforms, and continued strength in BTC and AI infrastructure demand—support a material upward revision in the company’s long-term strategic value. SAIHEAT is uniquely positioned at the intersection of AI, clean energy, and digital asset infrastructure, with a differentiated technology stack and accelerating commercial traction. ❑ Key Catalysts 1) On May 14, SAIHEAT received patent authorization for its proprietary SMR control rod drive mechanism. The technology enhances core reactivity control in compact nuclear systems, improving both precision and safety. This approval marks a pivotal milestone
Viva Biotech (1873.HK)：Deeply Engaged in AI-driven drug R&D revolution, Viva Starts a New Era of Globalized CRDMO Businesses
Coverage Initiated on Viva Biotech (1873.HK), with a BUY rating and target price of 3.5 HKD. Our viewpoints are as follows. In this report, we provide an in-depth and differentiated analysis of Viva Biotech as a leader in China’s structure-based drug discovery (SBDD) CRDMO segment, highlighting its three core investment merits: Viva is a global leader in SBDD with integrated CRO+CDMO capabilities. SBDD is a mainstream technology in modern drug development. The basis of SBDD technology is to understand the interaction between drugs and targets at the molecular level, i.e. observing the interaction between drug molecules and target proteins by analyzing their complex structure, to carry out rational drug design and improve drug R&D efficiency. The company has built the largest research p
SAIHEAT (SAIH.US):A Hybrid Computing Provider and Energy Infrastructure Play at the Forefront of AI Acceleration
Summary ❑ Sustainable Augmented Intelligence (SAIHEAT) is a computing and energy operator providing BTC and AI computing services, alongside liquid cooling and modular nuclear power solutions. As an emerging AI and BTC computing provider, SAIHEAT is capitalizing on the exponential growth in computing demand driven by efficiency innovations. Large language models like DeepSeek V3, leveraging MoE architecture (671B parameters, 37B activated) and R1-Zero reinforcement learning, have achieved 10-14x efficiency gains. According to Jevons Paradox, these improvements, by lowering entry barriers (input costs of $0.27/1M tokens), will catalyze even greater computing demand. Against the backdrop of accelerating AI computing requirements, the company's innovative containerized IDC solution reduces t