NXP
i.MX RT1064 Edge AI Guides
1024 KB SRAM at 600 MHz with double-precision FPU and 4 MB on-chip flash. Self-contained ML deployment without external flash, simplifying board design.
Hardware Specs
| Processor | ARM Cortex-M7 @ 600 MHz |
| Cores | 1 |
| Clock | 600 MHz |
| SRAM | 1024 KB |
| Flash | 4 MB |
| FPU | double |
| Connectivity | Ethernet, USB OTG HS/FS |
| Key Features | Crossover MCU (600 MHz Cortex-M7), 4 MB on-chip flash (unique in i.MX RT family), 1 MB on-chip SRAM, L1 cache (32 KB I + 32 KB D), FlexRAM (configurable ITCM/DTCM/OCRAM) |
| Price | $8–$15 (chip), $30–$60 (dev board) |
Dev Boards in This Family
1 edge-AI-capable i.MX RT1064 development boards with specs and compatibility details.
Hardware Guides
No hardware guides yet. Use the MCU Checker to explore compatibility.
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Orchestrate i.MX RT1064 Edge AI with ForestHub
The i.MX RT1064 runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.
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