Enterprise systems increasingly run multiple AI workloads simultaneously, straining compute and power resources. SAKURA-II runs these models locally on compact hardware, allowing them to operate in parallel without the need for large GPU infrastructure. Teams can deploy AI at the data source, reducing latency and eliminating the costs of centralized systems.
On-Device Enterprise AI Assistants for Sensitive Data
Enterprise teams increasingly rely on AI for workflows, but sensitive data cannot be exposed to public clouds. Routing queries externally introduces security and regulatory risks. SAKURA-II allows AI assistants to run entirely within enterprise environments, handling document analysis locally. Sensitive information remains air-gapped while still enabling real-time AI support.
Global operations require seamless communication, but external translation services introduce latency and data exposure. SAKURA-II enables low-latency translation to run locally, processing conversations and documents as they happen. Communication remains instant and secure, without reliance on external infrastructure.
