As data volumes surge and AI adoption accelerates across federal agencies, traditional CPU-based analytics systems are hitting their limits—slowing decision-making, increasing costs, and creating bottlenecks in mission-critical operations. By modernizing with GPU-based solutions, federal Chief Data Officers and Data Engineers can position their agencies to scale securely, accelerate insights, and achieve their mission objectives more efficiently.

Voltron Data hosted a webinar that explores why now is the time to rethink your data infrastructure strategy. Rodrigo introduced Theseus, Voltron Data's GPU-native SQL engine, and demonstrated how federal agencies are dramatically reducing server counts, cutting analytics costs by up to 99% and processing petabyte-scale datasets in minutes—not hours.

Watch this on-demand webinar to explore:

• Why CPU-based ETL pipelines are no longer sufficient for AI-driven workloads
• How GPU architectures enable real-time, large-scale data processing
• The cost, energy, and performance benefits of adopting Theseus
• What an open, modular analytics infrastructure looks like—and why it’s essential for long-term agility and innovation