GPU-accelerated computing enables significantly faster data processing for AI applications, with IBM Watson X.Data using NVIDIA GPUs to achieve five times faster performance at 83% lower cost compared to traditional CPU-based systems, demonstrating how specialized hardware accelerators are essential for meeting the massive data processing demands of modern AI workloads.
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IBM & NVIDIA: AI Data Revolution You Can't Miss! #shortsAdded:
IBM the inventor of SQL one of the most important domain-specific languages of all kind of all time is accelerating Watson X data with Kù Dù F.
>> 60 years ago, IBM introduced the System 360, the first modern platform for general-purpose computing, launching the computing era. And SQL, a declarative language to query data without requiring the computer to be instructed step-by-step, is the foundations of modern enterprise computing. Today, IBM and NVIDIA are reinventing data processing for the era of AI by accelerating IBM Watson x.data SQL engines with NVIDIA GPU computing libraries. Data is the ground truth that gives AI context and meaning.
AI needs rapid access to massive data sets. Today's CPU data processing systems can't keep up. Their order-to-cash data mart aggregates every supply, order, and delivery event across global operations in 185 countries. On CPUs, Nestlé refresh the data mart a few times a day. With accelerated Watson x.data running on NVIDIA GPUs, Nestlé can run the same workloads five times faster at 83% lower cost. The next computing platform has arrived, accelerated computing for the era of AI.
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