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Don't list hardware

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Nicolas Mowen 2026-01-01 13:45:36 -07:00
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commit f7c754c098
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docs/docs/troubleshooting/cpu.md
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@ -15,7 +15,7 @@ Video decoding is one of the most CPU-intensive tasks in Frigate. While an AI ac
**Resolution & FPS Impact:** The decoding burden grows exponentially with resolution and frame rate. A 4K stream at 30 FPS requires roughly 4 times the processing power of a 1080p stream at the same frame rate, and doubling the frame rate doubles the decode workload. This is why hardware acceleration becomes critical when working with multiple high-resolution cameras.
**Hardware Acceleration Benefits:** By using dedicated video decode hardware (Intel QuickSync, NVIDIA NVDEC, AMD VCE, or VA-API), you can:
**Hardware Acceleration Benefits:** By using dedicated video decode hardware, you can:
- Significantly reduce CPU usage per camera stream
- Support 2-3x more cameras on the same hardware