Open Source for AI and Cloud: Page 2 of 2

May 15, 2019 //By Wisse Hettinga
Open Source for AI and Cloud
Intel Drives Innovation across the Software Stack at most ‘open yet’ conference
expanding to provide end-to-end integration and optimization for Intel hardware features and key workloads supporting the Deep Learning and Data Analytics software stacks. The performance, security, ease-of-use and customization advantages make Clear Linux a great choice for Linux developers.
  • The Deep Learning Reference Stack is an integrated, highly-performant open source stack optimized for Intel® Xeon® Scalable Processors. This stack includes Intel® Deep Learning Boost (Intel DL Boost) and is designed to accelerate AI use cases such as image recognition, object detection, speech recognition and language translation.
  • The Data Analytics Reference Stack was developed to help enterprises analyze, classify, recognize and process large amounts of data built on Intel® Xeon® Scalable platforms using Apache Hadoop and Apache Spark*.

Enabling new usages across automotive and industrial automation: In a world where functional safety is increasingly important, workload consolidation is both complex and critical. And with the growing reliance on software-defined systems, virtualization has never been more important. Intel is working to transform the software-defined environment to support a mix of safety critical, non-safety critical and time critical workloads to help support automotive, industrial automation and robotics uses.

  • Fusion Edge Stacks support the consolidated workloads that today’s connected devices demand using the ACRN* device hypervisor, Clear Linux OS, Zephyr Project* and Android*.
  • The Intel Robot SDKbrings together the best of Intel hardware and software in one resource, simplifying the process of creating AI-enabled robotics and automation solutions, with an optimized computer vision stack.

More information at www.intel.com

 

 


Vous êtes certain ?

Si vous désactivez les cookies, vous ne pouvez plus naviguer sur le site.

Vous allez être rediriger vers Google.