Embedded Computing Design

Embedded Computing Design covers industrial, automotive, consumer, medical, IoT, security, AI, machine learning and analog/power. Put simply, it is about building, training and deploying machine learning models.

Who is it for? Mostly data science teams. Related areas on their profile: Artificial Intelligence (AI), Automotive, Autonomous Vehicles, Content Syndication and Embedded Systems. They are a small team, 11 to 50 people, which usually shapes who they work with. Small vendors mean quick answers and real influence on the roadmap, but check who covers support when someone is out.

Embedded Computing Design is based in Scottsdale, Arizona and founded in 1981. Their site is embeddedcomputing.com.

Before you commit, look at compute pricing, MLOps features, and framework support. Get the renewal terms in writing before the first invoice.

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