Key Highlights
- HIVE Digital shares soared more than 22% Monday following Columbia University validation of its Paraguay AI computing infrastructure.
- Columbia researchers discovered HIVE’s legacy Nvidia A40 GPUs delivered comparable H100 performance for specific LLM pretraining tasks.
- The training experiments were executed remotely from New York City on hardware positioned over 5,000 miles away in Asunción, Paraguay.
- Findings from the study have been submitted for presentation at NeurIPS, a leading machine learning conference.
- HIVE’s 100MW power substation in Yguazú, Paraguay is slated for energization by September 2026, followed by Tier III data center construction.
Shares of HIVE Digital Technologies (HIVE) experienced a significant rally exceeding 22% Monday morning, climbing past the $7 threshold, following the release of Columbia University research that confirmed the capabilities of its Paraguay-based artificial intelligence GPU infrastructure.
HIVE Digital Technologies Ltd., HIVE
The research initiative, conducted alongside Columbia’s Department of Industrial Engineering and Operations Research, demonstrated that HIVE’s Nvidia A40 GPU systems deployed in Paraguay achieved performance levels equivalent to Nvidia H100 infrastructure when running particular large language model pretraining operations — specifically for models up to 1.4 billion parameters.
The Columbia research team spent two months fine-tuning their software to maximize A40 hardware efficiency before conducting comprehensive performance assessments covering throughput metrics, latency measurements, and bandwidth utilization. When adjustments were made to account for baseline hardware capabilities, the A40 infrastructure produced results comparable to those observed on H100 systems for their targeted applications.
Additional testing encompassed serving throughput evaluations and latency analysis on the 1.4B-parameter model, supplemented by standard performance benchmarks utilizing LLaMA models.
The complete research findings have been formally submitted to NeurIPS — the Conference on Neural Information Processing Systems — recognized as one of the premier academic forums in the machine learning field.
Remote Training Across Continents
A particularly striking aspect of the research involved the geographic separation: Columbia researchers based in New York City conducted multiple iterative training sessions on GPU hardware physically located in Asunción, Paraguay — spanning a distance exceeding 5,000 miles.
Executive Chairman Frank Holmes emphasized that the findings demonstrate “high-performance computing does not need to be limited by geography.” CEO Aydin Kilic characterized the A40-H100 performance equivalence as a “powerful result” that confirms the company’s engineering-focused strategy.
The experimental data collected through this collaboration will inform the development of HIVE’s forthcoming AI computing campus in Yguazú, Paraguay.
Paraguay Infrastructure Expansion Advances
HIVE continues to progress on its large-scale artificial intelligence and high-performance computing installation in Yguazú. Construction of a 100-megawatt electrical substation has been completed, with commissioning activities planned for this summer and complete energization scheduled for September 2026.
Ground will break on a Tier III-certified data center facility during fall 2026. HIVE anticipates the infrastructure will become operational during the latter half of 2027.
The company positioned the Columbia research partnership as independent confirmation of its strategic transition from Bitcoin mining operations toward AI infrastructure services.
Holmes emphasized the significance for the host nation as well: “Paraguay has the power, the strategic location, and now the proof point.”
The commissioning of the 100MW substation represents the immediate priority on HIVE’s infrastructure development timeline.
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