A collaboration between HIVE Digital Technologies and Columbia University has produced something the AI computing world rarely sees from an emerging market: hard proof. Researchers at Columbia’s Department of Industrial Engineering and Operations Research ran iterative AI training workloads on HIVE’s GPU cluster in Asunción, Paraguay — more than 5,000 miles away from their New York City lab — and the results were good enough to submit to NeurIPS, one of the most competitive AI research conferences on the planet.
Key takeaways
HIVE’s A40 GPUs in Paraguay matched the performance of newer-generation H100 GPUs after code optimizations by Columbia researchers.
The research was submitted to NeurIPS, a leading annual machine learning conference held each December, alongside ICLR and ICML as one of the three most impactful AI research venues globally.
Columbia researchers successfully ran intercontinental AI training runs remotely over 5,000 miles from New York City to
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