Mar 18, 2025
The smarter stack: Driving cost-efficient, high-performance data engineering on NVIDIA GPU clusters with Gathr
Today, organizations recognize the critical need to integrate their data engineering and AI workflows to deliver faster insights, foster innovation, and support emerging business use cases. However, many continue to rely on siloed approaches, where data and AI processing operate separately on CPU and GPU infrastructure, respectively.
To overcome this bottleneck, it is essential for enterprises to expand GPU usage beyond AI tasks to broader data engineering processes. This approach would enhance resource utilization, reduce latency, and maximize returns on GPU investments...
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