HIVE Digital Technologies Reaches AI Cloud Milestone in Paraguay, Powers Columbia University LLM Research from New York to Asunción

This news release constitutes a "designated news release" for the purposes of the Company's prospectus supplement dated November 25, 2025 to its short form base shelf prospectus dated October 31, 2025.

San Antonio, Texas--(Newsfile Corp. - March 18, 2026) - HIVE Digital Technologies Ltd. (TSXV: HIVE) (NASDAQ: HIVE) (FSE: YO0) (BVC: HIVECO) (the "Company" or "HIVE"), a global leader in sustainable digital infrastructure and AI compute, today announced that its BUZZ AI Cloud platform in Asunción, Paraguay is now operational with live GPU compute nodes serving workloads on the platform by an academic research team from Columbia University in New York.

The Asunción deployment is the first GPU cluster to go live under HIVE's phased strategy to layer AI and high-performance computing ("HPC") infrastructure onto its existing renewable energy footprint in Paraguay. The cluster is hosted within a Tier-III data center operated by Paraguay's largest telecommunications provider and is purpose-built to handle AI model training, inference, and computationally intensive research workloads. HIVE expects to use the results of the cluster to establish the proof of concept for AI compute between New York and Asuncion. From this proof-of-concept, the Company expects to build future Tier III data center capacity in Yguazú, with infrastructure upgrades required to provide high-availability, low-latency GPU AI cloud compute from Paraguay. Paraguay's hydroelectric generation capacity and the telecom partner's nationwide fiber backbone provide the energy and connectivity foundation to support that growth. As regional South American institutional and commercial demand for HPC and AI Cloud develops, the pace and scale of the Company's Tier III expansion in Paraguay will be guided by customer adoption and the Company's capital position.

Columbia University Research Team Goes Live on BUZZ Cloud

The Columbia University team is using BUZZ Cloud GPU infrastructure to conduct research focused on large language model ("LLM") pre-training, including end-to-end training of foundation models. The research team's use of BUZZ Cloud infrastructure is a non-commercial research engagement intended to generate performance data that will inform the Company's roadmap for scaling commercial HPC capacity in Paraguay. The team is developing optimization algorithms that improve model quality while reducing computational and memory costs, evaluating their methods using standard training metrics such as loss and perplexity, as well as downstream benchmarks.

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