IOWN (Innovative Optical and Wireless Network) is a next-generation optical communication infrastructure concept proposed by NTT. APN (All-Photonics Network) is its core technology, achieving ultra-low latency and high capacity by communicating using only light.

What was confirmed in this demonstration?

It was confirmed that large-scale language model training using IOWN APN between Tokyo and Fukuoka achieved performance almost equivalent to a local environment (a 0.5% performance drop).

What are the benefits of this technology?

This technology reduces geographical constraints for data centers, allowing high-performance AI development even with GPUs and storage distributed remotely. This contributes to more efficient AI development, cost reduction, and disaster preparedness.

AI News NQ Analysis

Practical Performance Confirmed for Remote Distributed AI Infrastructure Between Tokyo and Fukuoka Utilizing 'IOWN APN', Tailored to Workload Characteristics

NQ Score 88/100

N1 Content Completeness 90

AI Summary (NQ-processed)

Four companies—GMO Internet, NTT East, NTT West, and QTnet—have completed a technical demonstration of a remote distributed AI infrastructure between Tokyo and Fukuoka using IOWN APN. They confirmed that for large language model training, performance degradation was limited to approximately 0.5% compared to local environments, proving the feasibility of practical AI development in remote settings.

AI Analysis

Frequently Asked Questions

Q: What is IOWN APN?: A: IOWN (Innovative Optical and Wireless Network) is a next-generation optical communication infrastructure concept proposed by NTT. APN (All-Photonics Network) is its core technology, achieving ultra-low latency and high capacity by communicating using only light.
Q: What was confirmed in this demonstration?: A: It was confirmed that large-scale language model training using IOWN APN between Tokyo and Fukuoka achieved performance almost equivalent to a local environment (a 0.5% performance drop).
Q: What are the benefits of this technology?: A: This technology reduces geographical constraints for data centers, allowing high-performance AI development even with GPUs and storage distributed remotely. This contributes to more efficient AI development, cost reduction, and disaster preparedness.