GPU capacity estimatorHow many GPUs for 100 cameras? Estimate GPU needs by camera count, analysis frequency and model size.
Hype-Model is Hype Vision's industrial computer-vision model family: Hype-Model-N (edge), -S, -M and -L (high accuracy). The tool below shows its assumptions explicitly; you can change the values for your own site.
Per-GPU capacity figures are for planning (a single RTX 4090-class GPU, 640 px input, video decoding included, conservative assumption). Exact hardware is measured during the pilot on your own cameras and modules.
How are these values calculated?planning assumptions, not field measurements
The results above assume a single RTX 4090-class GPU with 640 px input and video decoding included, using a conservative planning assumption. Exact FPS, latency and VRAM vary by model, input resolution, driver/TensorRT version and your cameras' encoding.
Field-measured benchmark results for the Hype-Model family (FPS · latency · VRAM), with methodology, are being prepared and will be published here. Until then this is a planning tool only; exact hardware is sized during the pilot on your own cameras and modules.
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