Key Highlights
- HIVE Digital’s shares climbed more than 22% following Columbia University’s validation of its Paraguay AI computing infrastructure.
- Columbia researchers confirmed that HIVE’s Nvidia A40 GPUs delivered performance comparable to H100 systems for specific LLM pretraining tasks.
- AI training operations were executed remotely from New York on hardware positioned over 5,000 miles away in Asunción, Paraguay.
- The study findings have been submitted for consideration at NeurIPS, a prestigious machine learning conference.
- HIVE anticipates energizing a 100MW electrical substation in Yguazú, Paraguay by September 2026, followed by a Tier III data center deployment.
Shares of HIVE Digital Technologies (HIVE) experienced a significant rally exceeding 22% during Monday’s trading session, climbing above the $7 mark in morning trading after researchers from Columbia University confirmed the capabilities of its AI GPU infrastructure based in Paraguay.
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 delivered performance metrics equivalent to Nvidia H100 hardware when processing certain large language model pretraining workloads — specifically models containing up to 1.4 billion parameters.
Over a two-month period, the research team fine-tuned their software for optimal A40 hardware utilization, subsequently evaluating throughput metrics, latency measurements, and bandwidth characteristics. When adjusted for baseline hardware specifications, the A40 infrastructure produced results consistent with H100 system benchmarks for their designated applications.
Additionally, the researchers conducted serving throughput evaluations and latency assessments on the 1.4-billion parameter model, alongside conventional benchmarking procedures for LLaMA model architectures.
The complete research findings have been submitted to NeurIPS — the Conference on Neural Information Processing Systems — recognized as one of the premier academic forums for machine learning advancement.
Remote Operations Across Continents
Among the study’s most notable aspects: Columbia researchers based in New York successfully executed multiple iterative training cycles 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 described the A40-H100 performance equivalence as a “powerful result” that confirms the organization’s engineering-focused strategy.
The research data collected through this collaboration will establish the technical foundation for HIVE’s forthcoming AI computing campus in Yguazú, Paraguay.
Ambitious Paraguay Infrastructure Project Advances
HIVE continues progressing toward completing a substantial AI and high-performance computing installation in Yguazú. Infrastructure development on a 100-megawatt electrical substation has reached completion, with commissioning activities planned for this summer and complete energization scheduled for September 2026.
Data center construction for a Tier III facility is set to commence during fall 2026. HIVE projects the infrastructure will become operational during the latter half of 2027.
The organization positioned the Columbia research partnership as independent verification supporting its strategic expansion beyond Bitcoin mining operations into the AI infrastructure sector.
Holmes further stated that the initiative represents a significant achievement for Paraguay as well: “Paraguay has the power, the strategic location, and now the proof point.”
The 100MW substation’s commissioning phase represents the immediate upcoming objective in HIVE’s infrastructure development timeline.
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