AI Compute 14 products
AI compute hardware includes ARMxy edge computers, an Orin inference system and a Seeed reComputer model with Hailo-8. Evaluate processing hardware against your inference workload, software and I/O requirements. Serial-device and digital-input products also appear here; check each listing’s role in the complete system.
Our experts can recommend the best items for your application.
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In stock
- 1Port
- RS485
- ETH
In stock
- 2Port
- RS485
- ETH
In stock
- Modbus
- Ma
- Current
In stock
- Modbus
- Voltage
- At-
In stock
- Modbus
- At-
- Analog
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- RTD
- Pt100/Pt1000
- Modbus-RTU
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- 8CH
- RTU
- RS485
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- 8-Channel
- 0–10V
- Modbus-TCP
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- 4AO/4DI
- Modbus-TCP
- 12-bit
In stock
- RTD
- Pt100/Pt1000
- Modbus-TCP
In stock
- 8DI/8DO
- Modbus-TCP
- Relay
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- Up
- Nvidia
- Edge
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- 4Port
- RS485
- ETH
In stock
- 4-DI
- Modbus-TCP
- Ethernet
About our ai compute range
Planning an application with options from the AI Compute collection requires attention to the complete workflow. Plan the complete system around the workload rather than selecting hardware in isolation. Identify peripherals, software dependencies and physical connections, then decide how the assembly will be powered, housed and accessed during development. Define what a successful evaluation would demonstrate before starting a trial or requesting a detailed proposal. Keep a record of assumptions and unresolved questions so that later decisions use the same project context.
Identify which tasks your team will manage and which dependencies require discussion with a supplier or specialist. Plan a manageable first stage that allows the proposed approach to be assessed before expanding its scope. Include practical operating constraints in your brief rather than relying only on a category name. For questions about AI Compute, share your project brief with TwoElectrons and clarify the relevant listing details before proceeding.
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