Intel Python HACKFURY²

Make your submissions using any or all of the following Intel® Products

Intel® Distribution for Python

Intel® Distribution for Python allows you to increase the performance of Python applications. You can achieve high-level performance by making minimal changes to your code. You can also operate NumPy, SciPy, and scikit-learn libraries efficiently by using integrated Intel Performance Libraries such as Intel Math Kernel Library and Intel Data Analytics Acceleration Library.

Access the latest vectorization and multithreading instructions, programming languages such as Python, programming compilers such as Numba, composable parallelism technique with the Threading Building Blocks library, and more.

Intel® Optimized Frameworks

Intel® Optimized Frameworks is mainly used for Machine Learning and Deep Learning frameworks. You can use Intel optimized tools and frameworks to train and deploy deep networks that can assure the efficient use of the Intel architecture. Click here to find some examples of frameworks that have been optimized to take advantage of the Intel architecture and charts that display the increase in performance of these optimized frameworks compared to non-optimized frameworks.

Intel® Xeon Scalable Processors

Use our new workload-optimized processors that are built to support high-demand applications and hybrid cloud infrastructure. These processors help you to gain actionable insights, give you hardware-based security, and deploy dynamic service delivery. You can also build your hybrid cloud infrastructure and useful applications that include analytics, artificial intelligence, autonomous driving, high-performance computing, and network transformation.