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Intel published case study on IBM watsonx.data: Accelerating Generative AI Data Analysis

By Kevin Shen posted 4 days ago

  
IBM and Intel have a long history of deep collaboration to optimize IBM software on Intel processors and accelerators. That relationship continues with optimizations for watsonx.data, supported by Intel technologies, to deliver the performance and reliability IBM customers expect and trust from IBM.Key takeaways:
  • What is watsonx.data? A hybrid, open data lakehouse to power AI and analytics with all your data, anywhere.
  • Data challenges for AI: Data siloed in more locations across hybrid cloud, in more formats, in varying quality.
  • Benefits of IBM watsonx.data, optimized for Intel architecture: Flexibility and fit-for-purpose query engines (Presto, Spark), optimized price-performance, open standards to cost-effectively scale analytics and AI
  • Joint improvements to performance: IBM and Intel worked together to accelerate watsonx.data on Intel® processors. For example, 5th Gen Intel Xeon processors have up to 2.7x better query throughput on watsonx.data than compared to 2nd Gen Intel Xeon processors during internal testing.

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