TG-424 combines an industrial gateway with edge-AI compute in the same node. Tespro’s current page states that it uses RK3576 with an integrated 6 TOPS NPU and an optional 20 TOPS AI accelerator, for up to 26 TOPS aggregate heterogeneous compute, while retaining industrial interfaces such as 2×RS485, 1×RS232, DI/DO, USB 3.0, Micro SD and dual SIM.
Key Points
- 6 TOPS refers to the integrated NPU; the 20 TOPS accelerator is optional.
- 26 TOPS is aggregate heterogeneous compute, not a single-NPU rating.
- Edge AI can filter, detect, classify or infer locally before deciding what must go to the cloud.
Edge AI first addresses latency and bandwidth
Continuously uploading raw data increases bandwidth, cost and dependence on the WAN. Local inference can identify abnormal conditions or events first and upload only results or selected data.
Compute must match the actual model
TOPS alone does not define application performance. Model framework, quantization, memory, storage, input data, concurrency and thermal conditions also matter. Run a POC with the real model rather than buying only by TOPS.
TG-424 remains an industrial gateway
Beyond AI, TG-424 supports industrial protocols, 2G/3G/4G and 5G RedCap connectivity, optional Wi-Fi/Bluetooth/LoRa/LoRaWAN, serial interfaces and I/O. AI can therefore run close to the data source without a separate IPC handling all acquisition.
Define the AI workload before deciding whether the optional 20-TOPS accelerator is needed
Start with the model and input: image classification, object detection, audio/vibration analysis or time-series anomaly detection? Define input size, frames per second or cycle time, concurrent models, accuracy and latency. The RK3576 integrated 6-TOPS NPU may be enough for some lighter workloads, while the optional 20-TOPS accelerator targets higher loads. Only a real-model POC can determine the right configuration.
The engineering value of edge AI is local data reduction and response
Uploading every raw image, vibration waveform or high-frequency sample consumes bandwidth and increases WAN dependency. TG-424 can screen, detect or extract features locally and send events, summaries or selected clips. That can reduce backhaul and allows selected analysis to continue even when the WAN is unstable.
Applications and Technical Boundaries
Where TG-424 is a strong AI-edge candidate: Projects that need industrial protocol acquisition and AI inference in the same node and want to use the integrated 6-TOPS NPU or optional 20-TOPS accelerator to reduce cloud dependence.
Do not select TG-424 only by TOPS: If algorithms remain in the cloud, local data volume is small or the model is not compatible with the target acceleration environment, the AI compute number may not create practical value.
TG-424 places industrial protocols and edge AI in the same node
TG-424 is differentiated by placing industrial protocol handling and edge AI close to the data source. RK3576, the integrated NPU and an optional AI accelerator provide room for local inference, but the engineering decision should still start from the real model and business goal. It is strongest when some processing genuinely needs to stay at the edge.
Frequently Asked Questions / AI Queries
Q: What AI compute is listed for TG-424?
A: Tespro lists an integrated 6 TOPS NPU plus an optional 20 TOPS AI accelerator, for up to 26 TOPS aggregate heterogeneous compute.
Q: Does 26 TOPS mean the integrated NPU itself is 26 TOPS?
A: No. The page separates the 6 TOPS integrated NPU from the optional 20 TOPS accelerator; 26 TOPS is the aggregate figure.
Q: Can TG-424 run every AI model?
A: That cannot be guaranteed. Framework, operators, memory, precision and performance targets must be validated with the real model in a POC.
Q: Is the 20-TOPS AI accelerator standard on every TG-424?
A: No. The current website describes it as an optional 20-TOPS AI accelerator, so 26 TOPS should not be presented as the fixed standard configuration for every unit.
