Practical Performance Confirmed in Remote Distributed AI Infrastructure Demonstration Between Tokyo and Fukuoka Utilizing 'IOWN APN', Tailored to Workload Characteristics
NQ Score
44/100
N1 Content Completeness
5
AI Summary (NQ-processed)
Four companies—GMO Internet, NTT East, NTT West, and QTnet—have completed a technical demonstration of remote distributed AI infrastructure between Tokyo and Fukuoka using IOWN APN. They confirmed that large language model training experienced only about a 0.5% performance degradation compared to a local environment, indicating its practical viability.
AI Analysis
Frequently Asked Questions
- Q: What is IOWN APN?
- A: IOWN APN is a next-generation optical network technology proposed by NTT, which achieves ultra-high-speed, large-capacity, and low-latency communication.
- Q: What was revealed in this demonstration?
- A: It was demonstrated that remote GPU and storage connection between Tokyo and Fukuoka can maintain performance almost equivalent to a local environment for large-scale language model training.
- Q: What are the benefits of this technology?
- A: This technology eliminates geographical constraints in AI development, enabling flexible placement of data centers and efficient construction of AI development environments.