Achieving native code performance in Python can sound near-to-impossible, however, thanks to the run-time optimization libraries such as Intel MKL and Intel TBB that have made it possible to squeeze most performance out of the hardware to enable high performance in Python applications. In today’s presentation we will go over Intel Distribution for Python that has leveraged Intel’s optimized libraries to accelerate ML and DL applications in AI space “out-of-the-box” at scale. Topics include introduction to accelerated data analytics library daal4py and Intel optimized DL frameworks.
