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Computer vision infrastructure
Inspection, detection and video analytics, where stream count and decode capacity shape the specification.
Streams, not parameters
Vision deployments are usually sized by concurrent camera streams and resolution rather than model size.
Edge and central
Some workloads belong next to the cameras, some in a central server. Both routes are supported.
Hardware that suits
Lower-power inference accelerators often serve vision better than large training GPUs, at a fraction of the cost.
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