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Comparison

Booster K1 Education vs K1 Professional: Jetson module, memory and AI TOPS

Asked as: “For a university humanoid lab, how do the Booster K1 Education and Booster K1 Professional differ in Jetson module, memory and AI TOPS?”

Answered by the Rapidflare agent

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”

AttributeBooster K1 EducationBooster K1 Professional
Jetson moduleJetson Orin NX 8GBJetson AGX Orin 32GB
Memory8 GB32 GB
Max AI performance117 TOPS200 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.

Sources

  1. Booster K1 Education docs.booster.tech