Practical Performance Confirmed for Remote Distributed AI Infrastructure Between Tokyo and Fukuoka Utilizing 'IOWN APN'
NQ Score
50/100
AI Summary (NQ-processed)
GMO Internet Group, NTT East, NTT West, and QTnet have successfully completed a technical demonstration of a remote distributed AI infrastructure connecting Tokyo and Fukuoka using IOWN APN. The results confirm that AI workloads can achieve practical performance levels even when GPU and storage resources are geographically separated, offering a new model for secure and flexible AI development.
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Frequently Asked Questions
- Q: Which companies participated in the technical demonstration of remote distributed AI infrastructure using IOWN APN?
- A: GMO Internet, NTT East, NTT West, and QTnet participated in the technical demonstration of remote distributed AI infrastructure using IOWN APN between Tokyo and Fukuoka.
- Q: When did the technical demonstration of the remote distributed AI infrastructure take place?
- A: The technical demonstration of the remote distributed AI infrastructure was conducted from November 2025 to February 2026 between Tokyo and Fukuoka using IOWN APN technology.
- Q: What was the measured performance degradation for Large Language Model training in the remote distributed setup?
- A: For Large Language Model training, the performance degradation in the remote distributed setup was limited to approximately 0.5% compared to a local environment.
- Q: How did the demonstration address performance challenges in image classification tasks involving data loading?
- A: The demonstration confirmed that image classification tasks achieved practical processing levels remotely by applying learning data optimization methods on the IOWN APN infrastructure.
- Q: What was the purpose of the preliminary test conducted in July 2025 by the four companies?
- A: The preliminary test in July 2025 simulated a remote environment over approximately 1,000 km between Tokyo and Fukuoka to prepare for the full-scale IOWN APN demonstration.