A analysis mission run by Columbia College professors on GPU servers situated greater than 5,000 miles away in Paraguay has produced a end result that HIVE Digital Applied sciences (Nasdaq: HIVE) is looking a proof of idea for the way forward for distributed AI infrastructure.
HIVE Digital, a publicly listed knowledge heart and digital asset mining firm based in 2017 and traded on each the TSX and Nasdaq, introduced on June 22 that it has accomplished its first AI analysis collaboration with Columbia College’s Division of Industrial Engineering and Operations Analysis.
The analysis has been submitted to the Convention on Neural Info Processing Techniques (NeurIPS), one of many three most influential machine studying conferences on the planet, alongside ICLR and ICML.
What the analysis truly discovered
The Columbia workforce ran iterative AI coaching experiments remotely on HIVE’s A40 GPU cluster situated in Asunción, Paraguay, whereas working from New York Metropolis.
The research targeted on neural community pretraining, the foundational course of by which giant AI fashions study from knowledge earlier than being fine-tuned for particular duties.
The headline discovering is important. After two months of code optimisation particularly tailor-made to HIVE’s A40 {hardware}, the Columbia researchers discovered that efficiency matched that of Nvidia’s H100 GPUs, a more moderen and significantly dearer technology of chip broadly thought to be the gold commonplace for AI coaching workloads.
The comparability was made after normalising for every {hardware} platform’s uncooked efficiency.
The workforce additionally examined serving throughput and latency on a 1.4 billion parameter language mannequin, working commonplace benchmarks on LLaMA fashions as a part of the research.
“In our use case of pretraining LLMs of as much as 1.4B parameters, our outcomes match these of H100s after normalizing for every {hardware}’s uncooked efficiency,” a Columbia researcher from the IEOR division stated.
“This work advances our understanding of recent neural community optimization, together with matrix-aware optimizers corresponding to Muon and associated scale-invariant strategies.”
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Why Paraguay and what comes subsequent
The Asunción outcomes now function a efficiency baseline for a bigger infrastructure mission HIVE is constructing in Yguazú, Paraguay. The corporate has a 100 megawatt substation beneath development there, with civil works already full.
The substation is anticipated to be energised in September 2026, with development on a brand new Tier-III knowledge centre starting within the autumn and a ready-for-service date focused for the second half of 2027.
HIVE’s guess on Paraguay is rooted within the nation’s vitality profile — low cost, plentiful hydroelectric energy that makes it a gorgeous location for power-intensive computing workloads.
HIVE government ehairman Frank Holmes stated, “Paraguay has the facility, the strategic location, and now the proof level.”
“Excessive-performance computing doesn’t should be restricted by geography. Our imaginative and prescient is to carry the correct energy, knowledge heart design, software program stack, and execution, so by means of HIVE, Paraguay can take part straight within the international AI economic system.”
HIVE’s broader story
HIVE was among the many first publicly listed firms to mine Bitcoin utilizing inexperienced vitality when it was based in 2017. At this time it operates Tier-I and Tier-III knowledge centres throughout Canada, Sweden, and Paraguay, serving each Bitcoin mining shoppers and high-performance computing clients.
The corporate has beforehand collaborated with Intel Company on customized mining {hardware} and have become certainly one of Sweden’s largest demand-response contributors, serving to steadiness the nationwide electrical grid.
The Columbia collaboration represents HIVE’s clearest step but into AI infrastructure as a industrial enterprise line, shifting past crypto mining into the broader marketplace for GPU compute.
“Innovation is in our DNA,” HIVE President and CEO Aydin Kilic stated. “We see a brilliant future for AI in Paraguay.”
Kilic added that nice engineering can unlock important worth. HIVE will proceed to spend money on communities whereas bringing developments in our tech stack to our knowledge facilities globally, he added.
