Enabling Push Button Productization of AI Models
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The document presents an overview of Intel's initiatives in data analytics and AI, focusing on productization of AI models with optimized libraries and tools across various cloud platforms. It emphasizes the importance of setting up, ingesting, and cleaning data for deploying models into production. Additionally, it highlights Intel's hardware solutions for data center and edge AI inference and training.
Enabling Push Button Productization of AI Models
- 1. Enablingpushbutton productizationofAImodels Moty Fania, Principle Engineer and CTO Intel IT Data & AI June 2020
- 2. Legal notices This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. For more complete information about performance and benchmark results, visit www.intel.com/benchmarks Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. * Other names and brands may be claimed as the property of others. Copyright © 2020, Intel Corporation. All rights reserved. 2
- 34. IT@INTEL Learn more about Intel IT’s initiatives at: www.intel.com/IT 34 Sharing Intel IT Best Practices With the World
- 36. 36 OptimizedML/DL Libraries& tools OptimizedCloud Platforms GOOGLE CLOUD PLATFORMAMAZON WEB SERVICES MICROSOFT AZURE Accelerate Your Data Analytics & AI Journey with Intel DISCOVERY Data Develop Deploy of possibilities & next steps setup, ingestion & cleaning models using analytics/AI into production & iterate Intel Distribution for Python IntelOptimized BAIDU CLOUD & More Data Center DL Inference (Goya) FPGA: Real-Time & Multi-Use DL Inference Data Center DL Training (Gaudi) Edge DL Inference GPU: AI, HPC, Media & Graphics CPU: Multi-Purpose Analytics/AI Foundation High performance in-memory analytics Analytics&AI intelHardware Intel.com/AI intel.com/yourdataonintel Software.intel.com INTEL-OPTIMIZEDEND-TO-ENDDATAANALYTICS&AIPIPELINE * In development * *