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

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HIVE (NASDAQ:HIVE) activated its BUZZ AI Cloud GPU cluster in Asunción, Paraguay on March 18, 2026, hosting live LLM training workloads run remotely by a Columbia University research team.

The deployment leverages HIVE's 300 MW renewable hydroelectric base (plus 100 MW in development) and a Tier-III hosted data center, creating a proof-of-concept for low-latency, low-cost GPU AI cloud compute between New York and Asunción with initial expansion targets through 2027.

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Positive

  • 300 MW renewable hydroelectric capacity operational in Paraguay
  • First live BUZZ GPU cluster in Asunción serving Columbia University LLM research
  • Proof-of-concept for New York–Asunción AI compute with roadmap through 2027

Negative

  • Expansion pace contingent on customer adoption and the company's capital position
  • Initial engagement is non-commercial research, limiting immediate revenue realization

Key Figures

Current share price: $2.21 Renewable power base: 300 MW Power in development: 100 MW +5 more
8 metrics
Current share price $2.21 Pre-news close price
Renewable power base 300 MW Existing hydroelectric power in Paraguay
Power in development 100 MW Additional Paraguay hydroelectric capacity in development
Initial model size 0.2B parameters Small-scale LLMs used in Columbia research
Mid-size model 2B parameters Medium-scale LLMs in BUZZ Cloud experiments
Larger model scale 8B+ parameters Larger LLMs using multi-GPU distributed training
Muon efficiency gain 1.3x Muon efficiency vs standard baselines in early tests
Roadmap horizon 2027 Initial deployment targets for scaling HPC capacity in Paraguay

Market Reality Check

Price: $2.21 Vol: Volume 8,260,697 is sligh...
normal vol
$2.21 Last Close
Volume Volume 8,260,697 is slightly below the 8,742,622 20-day average (relative volume 0.94x). normal
Technical Trading below the 200-day MA of 3.06, about 71.81% under the 52-week high and 75.4% above the 52-week low.

Peers on Argus

Peers show mixed, stock-specific moves: key crypto/financial names like BITF (+6...
1 Up

Peers show mixed, stock-specific moves: key crypto/financial names like BITF (+6.28%) and AMRK (+2.17%) are up while OPY (-0.24%) is down. Only one momentum peer (CANG, +5.26%) appears, with no related news, suggesting this HIVE update is not part of a broad sector rotation.

Previous Crypto,AI Reports

5 past events · Latest: Jan 13 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Jan 13 Paraguay AI expansion Positive +8.9% Joint venture to launch BUZZ AI cloud platform in Asunción using Tier III center.
Jan 13 Paraguay BUZZ JV Positive +8.9% Strategic JV for one of Paraguay’s first purpose-built BUZZ AI cloud platforms.
Dec 11 Colombia listing, results Positive +2.5% Colombian listing plus record quarterly revenue and 49% gross margin on green AI/Bitcoin.
Dec 10 Bitcoin & AI growth Positive -0.9% Strong BTC production, 25 EH/s capacity, 300 MW Paraguay buildout and AI upgrades.
Dec 10 BTC production update Positive -0.9% 290 BTC production, 23.5 EH/s hashrate and planned 540 MW renewable footprint.
Pattern Detected

Crypto/AI-tagged announcements for HIVE have generally been received positively, with most events producing gains in the low-to-high single digits but occasional negative reactions even on seemingly constructive operational updates.

Recent Company History

Recent crypto/AI news shows HIVE steadily building a Latin American and global green AI/Bitcoin platform. In Dec 2025, it highlighted Colombian listing, record $87.3M revenue, and a roadmap toward 400 MW renewable capacity. On Jan 13, 2026, it announced Paraguay BUZZ AI cloud expansion leveraging 300 MW and potential +100 MW. November production updates emphasized 290 BTC, 25 EH/s, and a planned 540 MW footprint. Today’s article reflects the operationalization of that Paraguay AI cluster with live workloads.

Historical Comparison

+3.7% avg move · Past crypto/AI releases for HIVE averaged a 3.7% move over five events. Today’s 0.45% change is mode...
crypto,AI
+3.7%
Average Historical Move crypto,AI

Past crypto/AI releases for HIVE averaged a 3.7% move over five events. Today’s 0.45% change is modest versus prior Paraguay and regional expansion headlines.

Crypto/AI-tagged news traces a progression from Paraguay and Colombia buildouts and BTC capacity scaling toward today’s milestone, where the Paraguay BUZZ AI cloud cluster is live and running Columbia University LLM workloads.

Market Pulse Summary

This announcement marks a key step in HIVE’s Latin American strategy, showing its Paraguay BUZZ AI C...
Analysis

This announcement marks a key step in HIVE’s Latin American strategy, showing its Paraguay BUZZ AI Cloud cluster live with Columbia University LLM research workloads. It builds on earlier crypto/AI updates highlighting 300 MW of hydro-backed capacity in Paraguay and planned +100 MW. Investors may track customer adoption, data-center utilization, and progress toward the 2027 deployment roadmap to gauge how efficiently this AI infrastructure is monetized alongside Bitcoin operations.

Key Terms

gpu, high-performance computing, large language model
3 terms
gpu technical
"BUZZ AI Cloud platform in Asunción, Paraguay is now operational with live GPU compute nodes"
A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.
high-performance computing technical
"layer AI and high-performance computing ("HPC") infrastructure onto its existing renewable energy footprint"
A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.
large language model technical
"conduct research focused on large language model ("LLM") pre-training, including end-to-end training"
A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

AI-generated analysis. Not financial advice.

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.

Their work begins with small- to medium-scale models (0.2B to 2B parameters, including GPT-2-class and LLaMA-style architectures) and is scaling to larger models (8B+ parameters) using multi-GPU distributed training frameworks. The team's recent focus includes improving and understanding Muon and MuonClip, the latter of which has been used in training industry-level LLMs such as Kimi K2. In early experiments, Muon has shown roughly 1.3x greater efficiency1 than standard baselines by exploiting the structure of model weights. The team's LLM reasoning research was recently accepted for publication by Transactions on Machine Learning Research ("TMLR"), a peer-reviewed journal hosted by the Journal of Machine Learning Research ("JMLR").

Having the Columbia University research team run active LLM training jobs from New York on GPU infrastructure in Asunción provides HIVE with real-world performance data across latency, throughput, and workload management. The Company intends to use these findings to shape its roadmap for scaling HPC capacity in Paraguay, with initial deployment targets through 2027.

Paraguay: The Western Hemisphere's Next Potential AI Infrastructure Frontier

Paraguay's President Santiago Peña earned his Master's degree in Public Administration from Columbia's School of International and Public Affairs ("SIPA") in 2003, creating a notable link between the institution whose researchers are now training LLMs on BUZZ Cloud and the nation whose clean energy powers it.

Management believes large-scale AI compute requires two resources Paraguay can deliver in abundance: reliable, low-cost electricity and fiber connectivity with the bandwidth and security to move data across long distances without degradation. HIVE's existing 300-megawatt ("MW") renewable power base, sourced from hydroelectric generation, combined with the telecom partner's enterprise-grade network infrastructure, creates a platform that can serve demanding workloads originating outside Paraguay's borders, including from North American institutional clients.

Paraguay's economy has posted strong growth in recent quarters, backed by stable governance and a policy environment that has welcomed foreign infrastructure investment. HIVE believes those conditions, paired with the country's distinctive energy profile and expanding digital connectivity, position the country to play a growing role in South America's AI and high-performance computing future.

Strategic Outlook from HIVE Leadership

Frank Holmes, Executive Chairman of HIVE, stated, "HIVE has 300 MW of renewable hydroelectric power operational in Paraguay, with another 100 MW in development. Before scaling an AI factory, it's prudent to beta test. This deployment marks our first live GPU compute workload in Asuncion and provides the real-world performance data we need to guide our Tier-III expansion roadmap. We started in Paraguay with Bitcoin mining. Layering AI and HPC infrastructure onto that existing energy base is the next phase, and this cluster is the first step in validating that approach."

Aydin Kilic, President and CEO of HIVE, added, "We are taking a meaningful and impactful approach to developing a solution to being a leader of GPU AI compute and HPC in South America. Having a research team from Columbia University running LLM training workloads on HIVE's BUZZ Cloud infrastructure in Asunción is a powerful validation of what we are building. We will use this data to validate our proof of concept for GPU Cloud AI compute from New York to Asunción and to build our roadmap for large-scale HPC capacity in Paraguay by 2027."

About HIVE Digital Technologies Ltd.

Founded in 2017, HIVE Digital Technologies Ltd. is the first publicly listed company to mine digital assets powered by green energy. Today, HIVE builds and operates next-generation Tier-I and Tier-III data centers across Canada, Sweden, and Paraguay, serving both Bitcoin and high-performance computing clients. HIVE's twin-turbo engine infrastructure-driven by hashrate services and GPU-accelerated AI computing-delivers scalable, environmentally responsible solutions for the digital economy.

For more information, visit hivedigitaltech.com, or connect with us on:

X: https://x.com/HIVEDigitalTech
YouTube: https://www.youtube.com/@HIVEDigitalTech
Instagram: https://www.instagram.com/hivedigitaltechnologies/
LinkedIn: https://linkedin.com/company/hiveblockchain

On Behalf of HIVE Digital Technologies Ltd.

"Frank Holmes"
Executive Chairman

For further information, please contact:

Nathan Fast, Director of Marketing and Branding
Frank Holmes, Executive Chairman
Aydin Kilic, President & CEO

Tel: (604) 664-1078

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release.

Forward-Looking Information

Except for the statements of historical fact, this news release contains "forward-looking information" within the meaning of applicable Canadian securities laws, which may include but is not limited to statements regarding: the performance of the BUZZ AI Cloud platform in Asunción, Paraguay; the ability to replicate and scale this performance; the benefits and advantages of power supply and Internet connectivity in Paraguay, the reorientation of the Swedish facilities to HPC standards; the expected deployment, timing, capacity, and expansion of BUZZ HPC's GPU-accelerated infrastructure in general; and any other future-oriented statements. Forward-looking information is based on current expectations, estimates, forecasts, and projections, as well as management's beliefs and assumptions, including that the benefits of the operations in Paraguay can be replicated and scaled, infrastructure will be deployed on the expected timelines and within budget across all sites, demand for AI computing will continue to grow, and regulatory requirements will remain consistent with current expectations, and other related risks as more fully set out in the Company's disclosure documents under the Company's filings at www.sec.gov/EDGAR and www.sedarplus.ca.

Forward-looking information involves known and unknown risks, uncertainties, and other factors that may cause actual results, performance, or achievements to differ materially from those expressed or implied by such forward-looking information. Such factors include, but are not limited to the following risks: deployment timelines may change; costs may exceed expectations; performance expectations may not be achieved; demand for AI infrastructure may be lower than anticipated; partnerships or regulatory approvals may not materialize as expected; and the risk factors described in the Company's continuous disclosure documents available on SEDAR+ at www.sedarplus.ca. Readers are cautioned not to place undue reliance on forward-looking information. The Company disclaims any obligation to update or revise any forward-looking information, whether as a result of new information, future events, or otherwise, except as required by law.


1 Claim of efficiency relates to research methods

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/288944

FAQ

What did HIVE (HIVE) announce on March 18, 2026 about its Paraguay GPU cluster?

HIVE announced a live BUZZ AI Cloud GPU cluster in Asunción running Columbia University LLM workloads. According to the company, the cluster is hosted in a Tier-III data center and will provide performance data to shape Tier-III expansion through 2027.

How much renewable power does HIVE have in Paraguay and how does it support AI compute?

HIVE has 300 MW of operational renewable hydroelectric power, with 100 MW in development. According to the company, that energy base plus a nationwide fiber backbone underpins low-cost, high-availability GPU AI cloud compute from Paraguay to North America.

What workload is Columbia University running on HIVE's BUZZ Cloud in Asunción?

The Columbia team is running LLM pre-training and optimization research from 0.2B up to 8B+ parameter models. According to the company, the engagement is non-commercial and aims to generate latency, throughput, and workload performance data.

What does the Asunción proof-of-concept mean for HIVE's expansion plans through 2027?

The proof-of-concept supplies real-world performance metrics to guide Tier-III data center growth in Paraguay. According to the company, future capacity and timing will depend on customer adoption and HIVE's capital position.

Will HIVE's BUZZ Cloud deployment in Paraguay be commercially available immediately?

No — the current deployment is a non-commercial research engagement with Columbia University. According to the company, findings will inform a commercial scaling roadmap, with initial deployment targets extending through 2027.
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