Here's how the two Booster K1 variants differ on the compute side — the robot body itself is the same 0.95 m, 22-DoF humanoid; the difference is entirely in the onboard Jetson controller. docs.boost...docs.booster.tech ↗“0.95 m, 22-DoF small humanoid robot”
| Attribute | Booster K1 Education | Booster K1 Professional |
|---|---|---|
| Jetson module | Jetson Orin NX 8GB | Jetson AGX Orin 32GB |
| Memory | 8 GB | 32 GB |
| Max AI performance | 117 TOPS | 200 TOPS |
docs.boost... +5docs.booster.tech ↗“compatibility.jetson_module=Jetson Orin NX 8GB”docs.booster.tech ↗“compatibility.jetson_module=Jetson AGX Orin 32GB”docs.booster.tech ↗“memory.memory_gb=8 GB”docs.booster.tech ↗“memory.memory_gb=32 GB”docs.booster.tech ↗“performance.max_ai_tops=117 TOPS”docs.booster.tech ↗“performance.max_ai_tops=200 TOPS”
A few notes for your lab:
- The AI performance figures are INT8 TOPS, and for Orin-series products like both of these, they are stated with sparsity.
- Both variants share the same 512 GB onboard storage, 1 GbE Ethernet, Wi-Fi/BT, depth camera and microphone array — the memory and compute headroom are where the Professional pulls ahead. docs.boost... +1docs.booster.tech ↗“storage.onboard_storage_gb=512 GB”docs.booster.tech ↗“robot.sensors=Depth Camera, Microphone Array”
In short: for heavier onboard AI workloads (larger perception models, more concurrent inference, heavier RL/simulation-in-the-loop work), the K1 Professional's AGX Orin 32GB with 200 TOPS gives roughly 4× the memory and substantially more compute; the K1 Education's Orin NX 8GB at 117 TOPS is a lighter, more budget-friendly controller for teaching and basic research tasks.