Jeff Ready, CEO, Scale Computing: On the evolution, use cases, and tailwinds of edge

There is a long-standing joke around edge computing and driverless cars. Back in 2019 Mike Fay, then of Dell but now at Amazon Web Services (AWS), told an audience at the IoT Tech Expo event: "If an autonomous car is driving and a deer runs out, you can't send those calculations to the cloud. If you do, you're having venison for dinner."

The need for lower latency to enable the types of computation required for edge use cases has never been more apparent. Jeff Ready,...

Litmus and Google Cloud establish industrial edge partnership

Edge computing firm Litmus has established a partnership with Google Cloud for industrial applications.

Litmus Edge, the company’s flagship platform, will enable customers to gather industrial data from their assets and have it readily available in Google Cloud.

John Younes, Co-founder and COO of Litmus, said:

“Litmus Edge is a modern edge platform, purpose-built for industry and to bridge factory floors to the Cloud, so this partnership with Google...

EdgeX Foundry’s Hanoi release focuses on edge use cases for manufacturing and retail

EdgeX Foundry has released its latest semi-annual iteration, called Hanoi, with a plethora of new features and industries targeted.

The release from the LF Edge-based project within the Linux Foundation, which is a minor offering, includes simplified deployment protocols, as well as improved performance and scalability testing.

The key launch from the product side is command line interface (CLI), enabling develoeprs and users to issue various EdgeX API calls to its...

Eclipse Foundation IoT developer survey: Edge analysis and highlights

The Eclipse Foundation's latest IoT developer survey has explored edge computing trends for the first time - with interesting results.

The study, which polled more than 1650 respondents from various industries and organisations, is also aimed at improving the foundation's Edge Native Working Group, looking at delivering open source edge platforms.

Artificial intelligence was reported as the most frequent edge workload, cited by 30% of those polled. Control logic (29%),...

AI at the edge: Omdia notes five key factors to consider

One of the most important potential areas for edge computing is the impact on artificial intelligence (AI) at the edge - and a new report from Omdia explores five key areas of growth.

The analyst firm's paper, titled 'Connecting the Dots: AI at the Edge', noted that the Internet of Things (IoT) is one of the main drivers for 'AI-at-the-edge', yet a number of different applications across multiple vertical market also apply.

The report noted five factors that would shape...