Resources

Discover a richness of information and thought leadership articles from NearbyComputing

Hype Cycle™ in Edge Computing 2023

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Cool Vendors in Edge Computing

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We have a wealth of insights for you here from use cases to success stories to blog posts and on-demand webinars to suit your needs.

Nearby Managed Edge IT Fabrics

Sep 5, 2021 | Video

The demo shows how Nearby One manages the lifecycle of both the servers and services. Apart from that, the demo discusses the user journey in providing managed services to third parties and customers.

Edge Deployments with Lenovo and NearbyComputing

Sep 5, 2021 | Webinar

Edge computing will be deployed across multiple tiers where a variety of HW configurations are required for each tier. Different types of devices will be deployed at the many edge tiers to address the different workloads.

Enable the Edge: Orchestration and Automation for Edge Computing

Sep 5, 2021 | Webinar

Nearby Computing’s CTO David Carrera, introduces the Nearby Computing Platform, an orchestration framework, designed to help companies overcome the key limitations to adopting an Edge Computing Paradigm.

NearbyOne Unified Orchestration Framework

Sep 5, 2021 | Podcast

Intel Chip Chat Network Insights Episode 265.

Nearby Computing announces the closing of its seed round financing

Dec 10, 2020 | Press release

Resources | press release

NearbyOne Unified Orchestration Framework – Intel® Chip Chat Network Insights episode 265

Apr 21, 2020 | Podcast

Nearby Computing is a joint venture fostered by the Barcelona Supercomputing Center, and some of its experienced researchers, plus the Polytechnic University of Catalonia, in partnership with Nearby Sensors and Cellnex Telecom.

Nearby MEC Stack

Nov 5, 2019 | Video

Resources | videoMEC-stack deployment powered by OpenNESS made easy, in 5 steps.

Intel Network Builders

Sep 18, 2019 | Webinar

NearbyComputing Scientific Director, David Carrera, introduces the NearbyComputing Platform, an orchestration framework, designed to help companies overcome the key limitations to adopting an Edge Computing paradigm.