Deploying AI Models at the Edge

Edge Computing News

Read edge computing news and analysis, guest opinions and in-depth explainers about the edge computing ecosystem and edge internet economy.

 

NVIDIA takes it to the edge

By Pete Bernard, EDGECELSIOR The NVIDIA GTC (GPU Technology Conference) is ending, the first one (in-person) in five years, at…

 

Singapore-based data center operator unveils rebrand with sustainability and AI in mind

Empyrion DC, a data center platform operating in the Asia Pacific region, has recently announced a company rebrand, now known…

 

Omdia predicts market expansion of AI edge processors to $60 billion in 2028

Omdia, a research and consulting company, recently published its AI processors for the edge forecast report that explores the AI…

 

How are autonomous microcontroller unit peripherals utilized in edge applications?

While edge computing devices are designed with limited onboard resources, embedded developers explore various techniques to reduce power consumption. Despite…

 

Semidynamics releases Configurator tool for customizing RISC-V processor cores

Semidynamics, a company specializing in RISC-V solutions, has introduced the Configurator tool, a resource that equips customers to customize their…

 

Tonaquint Data Centers collaborates with Broadcom VMware on cloud solutions offerings

Tonaquint Data Centers, a cloud services provider, has announced its new Premier Partnership status as a Cloud Service Provider (CSP)…

 

OVHcloud locks in on second Canadian data center hub and invests $145 million in Toronto

Global cloud provider OVHcloud has announced the opening of a second Canadian data center facility, making this the Group’s 42nd…

 

Edge Impulse brings NVIDIA-powered models to edge MCUs, MPUs, and AI accelerators

Edge Impulse, a platform designed for developing, refining, and deploying machine learning models and algorithms to edge devices, has introduced…

 

Edge computing to face a paradigm shift as worldwide spend is set to exceed $232 billion

Worldwide spending on edge computing is expected to be $232 billion in 2024, an increase of 15.4% over 2023, according…

 

How can machine learning model visualization help in edge computing?

Edge computing devices are designed for remote deployment and often have limited onboard resources. Companies are building machine learning models…

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