AI use cases in Japan
3 documented implementations
Subaru selects HPE Cray XD670 servers to accelerate AI development for next-generation EyeSight driver assist system
Subaru Corporation
Subaru selected HPE Cray XD670 servers, powered by eight NVIDIA H200 GPUs each, to run an on-premises AI development environment at SUBARU Lab, supporting AI-driven image recognition for its next-generation EyeSight driver assist system as part of a goal to eliminate fatal traffic accidents by 2030. The energy-efficient XD670 delivers twice the performance of Subaru's existing system, using direct liquid cooling, and ranked top in MLPerf Inference v5.0 benchmarks.
NTT DOCOMO improves LLM usage analysis efficiency by 90% with Databricks
NTT DOCOMO
NTT DOCOMO built an internal 'LLM value-added platform' (approximately 10,000 monthly active users, 3 million monthly calls) and used the Databricks Data + AI Platform, including Model Serving for Azure OpenAI's GPT-4o and AI/BI Genie, to automate analysis of usage logs. This replaced manual Excel/Jupyter workflows, cutting monthly analysis work from 66 hours to 6 hours, a 90% reduction, while improving data governance via Unity Catalog.
Rakuten accelerates development with Claude Code
Rakuten
Rakuten, a large Japanese ecommerce company, uses Claude Code to automate coding tasks across its engineering teams, reducing time to market for new features from 24 days to 5 days and achieving 7 hours of sustained autonomous coding on a complex open-source refactoring project. Rakuten also deployed Claude Managed Agents across product, sales, marketing and finance, plugging into Slack and Teams for non-engineers to complete tasks.