On this week’s episode of Conversations in the Cloud, we talk to Prashant Shah, Director of Engineering for Health and Life Sciences at Intel. Prashant provides a grounding in what inferencing, which is when a model that’s been built and trained is then productized and put into the real world, to be applied to use cases with new data.
Intel® Select Solutions for AI Inferencing is meant for companies looking to productize AI models for a range of use cases. Ultimately customers want a robust solution that is also cost effective, which is where the Intel Select Solutions for AI Inferencing comes in, providing a high performance inferencing solution on general purpose hardware. With the second generation Intel® Xeon® Scalable processor, there are new features like Intel® Deep Learning Boost, which helps accelerate deep learning applications and allows companies to deploy the solution for real-time use cases. Prashant notes a customer that is working with medical imaging workloads was able to achieve 5.5X faster performance.* Prashant notes that as inferencing models are refine and new ones created, that we will see more complex offerings for a broader range of applications.
Visit AI.intel.com or intel.com/selectsolutions for more information.
* https://www.intel.ai/wp-content/uploads/sites/69/SiemensHealthineers2ndGenXeonScalable.pdf