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06/23 07:00

HIVE Digital Technologies said it has completed an

#World Cup Predictions: 100,000 USDT Daily #HTX Invites You to Share 600K USDT in Gift Packs #BTC Prophet: 20-Day 380 Million HTX Challenge HIVE Digital Technologies said it has completed an inaugural research project using GPUs hosted in Asunción, Paraguay, in collaboration with Columbia University. The effort focused on iterative AI training runs performed remotely from New York and is now being submitted to NeurIPS, one of the major annual machine learning conferences. For the AI infrastructure market, the development is less about a single model run and more about benchmarking and operational readiness. Independent, research-oriented testing can help quantify how well an installed GPU environment supports specific training workflows, including throughput and latency, and whether those results hold up under distributed usage patterns. Columbia researchers use GPUs in Paraguay for NeurIPS-bound work According to HIVE, the project centered on neural network pretraining research conducted by Columbia’s Department of Industrial Engineering and Operations Research. The team used HIVE GPU resources in Asunción while running iterative training experiments from New York. The company framed the work as a “proof of concept” for intercontinental AI training, where researchers can run training jobs on geographically separated hardware. HIVE also said the research utilized code optimizations developed by Columbia to evaluate performance characteristics relevant to training workflows. HIVE reported that, after normalization for each platform’s raw hardware performance, its A40 GPUs delivered training results comparable to newer-generation H100 GPUs in the targeted use case. The company described performance evaluation in terms of measured throughput and latency, along with tests for serving throughput and latency for a model configuration the team referenced as up to 1.4 billion parameters. What the submission covers While the filing does not provide full technical deta

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