GOOGLE CLOUD SUMMIT

Aria Runtime & MCP Hub

• Orchestrates 10,000+ isolated agent execution environments using Docker container isolation to ensure safe, sandboxed parallel operations.
• Leverages Custom Model Context Protocol (MCP) Toolboxes to securely bridge LLMs to private enterprise APIs and database engines.
• Achieves true scale-to-zero operational targets, processing up to 250 Requests Per Second (RPS) with micro-second scheduling delays.

AlloyDB pgvector & LLM Embeddings

• Implements nearest-neighbor vector similarity queries using standard pgvector HNSW indices directly inside relational queries.
• Injects inline embeddings via native Google ML text-embedding functions (`ML.GENERATE_EMBEDDING`) to match user intents in real-time.
• Eliminates third-party database overhead and synchronizations by unifying relational business logic and vectors in a single database stack.

BigQuery ML & XGBoost Classifiers

• Trains and deploys high-concurrency predictive classifiers (XGBoost / Deep Neural Nets) within BigQuery using standard SQL scripts.
• Configures automated hyperparameter optimization, class weights, and tree depths directly within native model creation configurations.
• Runs high-throughput inferences dynamically using `ML.PREDICT` blocks, supporting real-time data calculations and SQL predictions.

AlloyDB Sync & Model Armor Safeguards

• Streams transactional operational data into BigQuery warehouses instantly utilizing native Google Cloud Zero-ETL data pipelines.
• Safeguards production GenAI workloads with custom Google Model Armor gates, sanitizing prompt inputs and agent outputs.
• Monitors multi-tier scaling, database query performances, and operational telemetries from centralized dashboards.