Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

Government Events and Resources

Events

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Multi-Vendor

Build Mission-Critical Solutions with Azure Red Hat OpenShift


Event Date: March 09, 2021
Hosted By: Red Hat, Microsoft & Carahsoft
As government agencies increasingly embrace cloud, containers and DevOps practices, they are looking for more efficient and effective technologies to assist them in building mission-critical solutions, while delivering stakeholder value.

Red Hat and Microsoft, two leaders in the cloud and Kubernetes space, partnered here for an informative conversation around their collaborative Azure Red Hat OpenShift (ARO) service which empowers government agencies to:
  • Realize the promise of trusted enterprise Kubernetes, paired with accelerated developer productivity
  • Reduce operational overhead and enable rapid application delivery for increased business value, while supporting regulatory compliance
  • Build and deploy applications in a consistent environment with support for a broad range of traditional, cloud-native and serverless technologies
View the webinar to learn how you can deploy fully managed Red Hat OpenShift clusters without having to build and manage the infrastructure to run them.

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Resources


Blaize Graph Streaming Processor – The Revolutionary Graph-native Architecture
Whitepaper

Blaize Graph Streaming Processor – The Revolutionary Graph-native Architecture

Unlock the future of AI computation with the revolutionary Blaize Graph Streaming Processor™ (GSP). Designed for graph-native AI application development, the GSP represents a paradigm shift in computing, addressing the challenges of efficiently processing neural networks and building complete AI applications. Discover how the GSP architecture offers true task-level parallelism, minimal off-chip memory usage, depth-first hardware graph scheduling, and full programmability, enabling developers to build end-to-end AI applications with unmatched efficiency, lower power consumption, and the ability to adapt rapidly to evolving neural network innovations.


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