Home▸Electronics & Circuits▸AI Chips & Hardware: GPU vs TPU vs ASIC vs Neuromorphic Compute Simulator

🖥️ AI Chips & Hardware: GPU vs TPU vs ASIC vs Neuromorphic Compute Simulator

Compare NVIDIA H100, Google TPU v5e, Intel Gaudi3, AMD MI300X and neuromorphic Intel Loihi 2 as a live die of compute cores. Switch chip, precision and workload to watch throughput, power draw and energy efficiency respond.

Electronics & Circuits3DModerate60 FPS

Details

CategoryElectronics & Circuits

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsChip buttons (H100 / TPU v5e / Gaudi3 / MI300X / Loihi 2) switch die layout, core density and base specs; precision buttons (FP32 / BF16 / INT8 / FP8) set the ops-per-clock multiplier; utilization slider (0-100%) sets workload and drives throughput, power and the pulse/spike animation.

Three.jsAI chipsGPUTPUNeuromorphic computingInstancedMesh

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⚙ Under the hood

Compare five real AI accelerators — NVIDIA H100 GPU, Google TPU v5e, Intel Gaudi3, AMD MI300X and the neuromorphic Intel Loihi 2 — as a live die of compute cores. Switch chip, numeric precision and workload utilization to watch throughput, power draw and energy efficiency respond.

Three.jsAI chipsGPUTPUNeuromorphic computingInstancedMesh

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