Deeplite raises $6M seed to deploy ML on edge with fewer compute resources
One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite, a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources. Today, the … Continue reading Deeplite raises $6M seed to deploy ML on edge with fewer compute resources
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