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Computer vision infrastructure

Inspection, detection and video analytics, where stream count and decode capacity shape the specification.

See inference accelerators

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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Last reviewed 31 August 2026 · Durable technical · re-checked at least every 365 days

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