Last updated on January 4th, 2025 at 10:18 am
One SQL Query Changes Everything…
Databricks introduces simple, fast, and scalable batch LLM inference on Mosaic AI Model Serving (Oct 2024). Transform unstructured data processing with a single SQL query.
5 Game-Changing Capabilities of Batch AI Processing:
SQL-First Revolution
↳ Yesterday: Complex Python pipelines
↳ Today: SELECT ai_query(‘llama-70b’, text) FROM documents
↳ Impact: 90% less complexity, zero maintenance
Dual-Mode Intelligence
↳ Pay-per-token for experiments
↳ Provisioned throughput for production
↳ Impact: Hours, not weeks, seamless scaling
Zero-Movement Architecture
↳ Processes where data lives
↳ Unity Catalog integration
↳ Impact: Zero data movement, complete governance
Industrial-Scale Processing
↳ Auto-scale with built-in resilience
↳ Proven: 400B tokens at Scribd
↳ Impact: Zero infrastructure management
Unified Intelligence Workflows
↳ Single platform, end-to-end pipelines
↳ Flexible: Notebooks or Delta Live Tables
↳ Impact: 10x faster deployment cycles
Why This Changes Everything:
↳ Data Teams: Weeks to minutes
↳ Engineers: 80% less custom code
↳ Business: ROI in days
↳ Security: 100% governance coverage
The Path Forward:
↳ Start: Quick wins with pay-per-token
↳ Scale: Unlimited with provisioned throughput
↳ Transform: SQL-first AI workflows
↳ Innovate: Focus on value, not infrastructure
Like SQL democratized analytics, Databricks democratizes AI operations. Winners operationalize AI fastest.
The gap between experimenting with AI and operationalizing it at scale just disappeared. Data teams can now build industrial-grade AI applications with enterprise security and governance.
👋 I’m Siddhartha Vemuganti, a Data Engineering and AI/ML leader focused on enterprise-scale AI systems and transformative architectures.