Intel® Optimization for TensorFlow*
Production Performance for AI and Machine Learning
Accelerate TensorFlow* Training and Inference on Intel® Hardware
TensorFlow* is an open source AI and machine learning platform used widely for production AI development and deployment. Often these applications require deep neural networks and extremely large datasets, which can become compute bottlenecks.
Software optimizations in open source TensorFlow accelerate training and inference on Intel hardware. You can further boost TensorFlow training and inference and take advantage of the latest Intel hardware features with Intel® Extension for TensorFlow*.
Using this framework with Intel optimizations, you can:
- Develop, train, and deploy AI models using a Python* API.
- Speed up TensorFlow-based training and inference turnaround times on Intel hardware.
- Extend TensorFlow to further accelerate performance on Intel CPU and GPU hardware.
Download as Part of the Toolkit
Intel® Optimization for TensorFlow* is available as part of the Intel® AI Analytics Toolkit, which provides accelerated machine learning and data analytics pipelines with optimized deep learning frameworks and high-performing Python libraries.
Download the Stand-Alone Version
Stand-alone versions of TensorFlow and Intel Extension for TensorFlow are available. You can install them using a package manager or build from the source.
Develop in the Cloud
Build and optimize oneAPI multiarchitecture applications using the latest optimized Intel® oneAPI and AI tools, and test your workloads across Intel® CPUs and GPUs. No hardware installations, software downloads, or configuration necessary. Free for 120 days with extensions possible.
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Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.