Core-3399Pro-JD4 System on Module vs reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development is $10 cheaper; reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development has more RAM (4 GB vs 3 GB); reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development has more storage (32 GB vs 16 GB).
| Specification | Core-3399Pro-JD4 System on Module | reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development |
|---|---|---|
| Price | <span class="mtag" data-amt="209" data-ccy="USD">$209</span> | <span class="mtag" data-amt="199" data-ccy="USD">$199</span> |
| CPU | Rockchip RK3399PRO | Rockchip RK3576 |
| RAM | 3 GB | 4 GB |
| Storage | 16 GB | 32 GB |
| Graphics | — | — |
| Display | — | — |
| Operating system | — | Debian / Ubuntu / Android |
More single-board computers comparisons
- Core-3399Pro-JD4 System on Module vs LattePanda IOTA x86 Single Board Computer with Win11 Enterprise License (Intel N150, 8GB RAM / 64GB eMMC)
- EMB-BT2 vs reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
- Core-3399Pro-JD4 System on Module vs LattePanda IOTA Palm-sized x86 Single Board Computer (Intel N150, 16GB RAM / 128GB eMMC)
- ATX-H310A vs reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
- MAX-H310A vs Core-3399Pro-JD4 System on Module
- MIX-H310A1 vs reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development


