A Hikvision AcuSense DS-2CD3786G2T camera ships 1.5 TOPS of on-chip compute and microSD storage up to 512 GB[3]. A Jetson Orin Nano Super delivers 67 TOPS at 7-15 W[2][5]. A query to a model in the cloud lives at 50-500+ ms round-trip latency[1][4].

The same question — “person or vehicle?” — gets answered in <3 ms on edge or hundreds of milliseconds on cloud[4].

The operational difference is brutal when you cross it with three real cases:

  • Store losing connectivity for 4 hours: edge keeps classifying, recording, triggering local alarms. Cloud is dead until the uplink returns.
  • Drive-thru camera that needs an alarm in <500 ms to activate an audio deterrent: edge handles it. Cloud at 200 ms network + 80 ms inference barely fits the window.
  • Point of sale with 8 cameras on a 50 Mbps link: pushing 8 streams of 4K to the cloud is 64 Mbps sustained — doesn’t fit. Processing local + sending only events changes the math entirely.

( IBM puts it this way: “Edge AI is low bandwidth because it processes data locally; Cloud AI is high bandwidth because it requires a network for data transmission to remote servers” — direct from their 2025 guide )

In every tv4agent deployment where the client says “I want analytics in the cloud”, the question that matters most is not “how accurate is the model?” It’s “what happens in your store when the internet drops?”. The answer defines whether you need edge, cloud, or a hybrid where inference runs local and dashboards query remote.

P.D. Does your current video analytics system run in the camera, in an NVR with a GPU, on a local server, or in a data center in another country? If you can’t answer that in one line, today’s a good day to open the device’s config page.

📰 Source: IBM Think — Edge AI vs Cloud AI; NVIDIA Jetson Orin Nano specs; Hikvision AcuSense DS-2CD3786G2T datasheet; NanoGPT 2026; Savant AI 2026.

Sources

[1] IBM — Edge AI vs Cloud AI — https://www.ibm.com/think/topics/edge-vs-cloud-ai [2] NVIDIA Jetson Orin Nano Super Developer Kit — https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/ [3] Hikvision DS-2CD3786G2T-IZS AcuSense 8MP datasheet — https://www.hikvision.com/content/dam/hikvision/en/support/regional-materials/mea/DS-2CD3786G2T-IZSYH_Datasheet_MEA_2024Q1.pdf [4] NanoGPT — Edge vs Cloud AI latency and cost comparison — https://nano-gpt.com/blog/edge-ai-vs-cloud-ai-cost-latency-comparison [5] Savant AI — When NVIDIA Jetson Orin is the right fit — https://savant-ai.io/blog/jetson-orin-right-fit