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 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.
Subaru Corporation· JapanHPE Cray XD670 · NVIDIA H200 GPUs · HPE Tech Care Service
NTT DOCOMO improves LLM usage analysis efficiency by 90% with Databricks
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, 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.
Rakuten· JapanClaude Code · Claude Managed Agents