Open-sourcing Habana back end for Glow

This post introduces an experimental back end for the Glow compiler and runtime project, specifically designed to target Habana's existing hardware accelerators. This is the first back end to customize for various vendors' accelerators, enabling partners to more rapidly design and optimize new silicon products for machine learning (ML). It strengthens the ecosystem for accelerating neural network ML workloads at production scale, helping companies reduce power usage and latencies. The back end is available on GitHub for targeting Habana's inference accelerator cards and future accelerator products.