Home▸AI & Machine Learning▸Personal AI Assistants: On-Device vs Cloud LLM Inference Simulator

🤖 Personal AI Assistants: On-Device vs Cloud LLM Inference Simulator

Watch tokens flow through an on-device LLM (Phi-3, Gemma, Llama 3) versus a cloud round trip. Switch model, quantization and privacy mode and see throughput, latency and privacy score change live.

AI & Machine Learning3DModerate60 FPS

Details

CategoryAI & Machine Learning

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsModel buttons (Phi-3 Mini / Gemma 2B / Llama 3 8B) set parameter count and layer stack depth; Quantization buttons (FP16/INT8/INT4) trade memory and speed for quality; On-device/Cloud buttons decide whether tokens stay inside the device box or fly out to a remote server node; Query length slider (8-48 tokens) sets how many tokens animate; Pause/Reset.

Three.jsAI assistantson-device LLMprivacyInstancedMesh

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⚙ Under the hood

Watch tokens flow through an on-device LLM (Phi-3, Gemma, Llama 3) versus a cloud round trip. Switch model, quantization and privacy mode and see throughput, latency and privacy score change live.

Three.jsAI assistantson-device LLMprivacyInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install