Why Should You Listen?
Modern data platforms are evolving—and speed, scale, and efficiency are becoming non‑negotiable.
In this episode of Exchanges with Hitachi Solutions, host Matt Volke sits down with Evan Sotos, Engineering Manager for the Empower Data Platform, fresh off his return from NVIDIA GTC. Together, they explore how GPU acceleration is moving beyond AI and machine learning—and into the core of data engineering.
The conversation dives into what Evan heard from engineers, partners, and vendors at GTC, why NVIDIA is positioning itself as an algorithms company, and how technologies like NVIDIA RAPIDS are being used to dramatically accelerate analytics and data pipelines without rewriting existing code.
What You’ll Learn
- Why GPU acceleration is becoming a core capability for modern data platforms, not just AI workloads
- What NVIDIA RAPIDS is and how it enables existing CPU‑based workloads to run on GPUs
- How GPU acceleration can significantly reduce processing time and overall compute costs
- Why “zero code changes” is such a critical advantage for real‑world data teams
- Which types of data workloads benefit most from GPU‑accelerated pipelines