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Canton separates traditional biological business to transform into Web3 clearing, EMPD invests 20 million USD in AI and computing power energy infrastructure

According to BBX data, yesterday and in recent days, global companies listed on the US stock market have disclosed the latest real announcements regarding digital asset transformation and ecological strategic investments. The core dynamics are as follows:Canton sells traditional business to fully transition to blockchain clearing: Canton Strategic Holdings, Inc. (NASDAQ: $ CNTN) officially announced that it has sold its biotechnology R&D department Gravitas Life Sciences, LLC to Gravitas Collective Corp. The transaction was completed on July 17, 2026. The company clearly stated that this divestiture is an important milestone in its transformation into an operating company, and in the future, it will support the Canton Network through Canton Coin and promote the on-chain digital transformation of traditional financial markets as a strategic investor.Empery Digital invests $20 million in cross-industry computing power electricity park: The US-listed company Empery Digital Inc. (NASDAQ: $ EMPD), which adopts a Bitcoin fund management strategy, announced that it has completed a $20 million preferred stock investment (holding approximately 8%) in Cardinal Data Power, Inc. (CDP) on July 20, 2026. CDP focuses on building electricity-driven data center parks, and this round of financing will support its construction of the first gigawatt-level data center park covering over 3,000 acres in West Texas (Phase I is planned to be operational in 2027, with a long-term plan exceeding 5GW) to meet the next generation of AI and computing power energy demands.

Energy company TAR completes $27 million seed round financing to address power issues in data centers during the AI era

Green energy infrastructure startup TAR announced the completion of a $27 million seed round financing to develop modular "plug-and-play" power systems for data centers, aimed at addressing the power and deployment bottlenecks faced by data centers in the AI era.According to reports, the solution combines solar energy, wind energy, battery storage, and natural gas backup units to achieve nearly round-the-clock (24/7) local power supply capability, reducing reliance on the public grid and thus bypassing issues such as grid access queuing, approval delays, and power price fluctuations. TAR's co-founder stated that the core idea is to significantly compress the deployment cycle of energy systems through factory prefabrication, pre-assembly, and pre-testing, enabling data centers to achieve "rapid go-live" capability.In pilot projects, the system can provide approximately 10 MW of stable power supply and plans to deploy over 200 MW of normal load capacity by 2027. The company noted that its first customer is an undisclosed "neocloud" service provider, aiming to provide a faster energy deployment path for AI computing infrastructure.In terms of the economic model, TAR stated that its solution does not aim for costs below those of traditional grids but prioritizes solving the "speed issue." Its off-grid energy system can be deployed in about three months, avoiding the time costs associated with grid access and land restrictions. As the demand for AI computing continues to grow, power supply has been identified by multiple studies as one of the main bottlenecks for data center expansion. Industry analysis suggests that the "off-grid energy + modular data center" model is becoming a new direction in the competition for AI infrastructure.
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