BIO-WETWARE // 20W
SILICON-HARDWARE // 700W+
Biological Intelligence
20 Watts
The human brain operates on the power equivalent of a dim lightbulb. It performs general intelligence, creativity, and motor control simultaneously.
86B
Neurons
100T
Synapses
Silicon Intelligence
700 Watts
A single NVIDIA H100 GPU consumes 35x more energy than a human brain, yet performs only specialized matrix multiplication tasks.
80B
Transistors
~1.8T
Parameters (GPT-4)
The Scale of Inefficiency
GPU Cluster Size1 x H100 GPUs
Total Power
0.7 kW
=
Human Brain Equivalent
35 Brains
Thinking simultaneously
Annual AI Carbon Footprint
2.5 Tons CO2
Grid-based energy
Biological Equivalent
~0.1 Tons CO2
Metabolic (Food) energy
Insight: To match the energy consumption of a standard 10,000 GPU training cluster (7MW), you would need the combined metabolic energy of 350,000 humans. This highlights the urgent need for neuromorphic hardware and Pink Hydrogen.
The Solution
The Neuromorphic Future
To close this efficiency gap, we cannot just build bigger chips. We must change the architecture itself. **Neuromorphic computing** (like Intel's Loihi 2) mimics the brain's spiking neural networks.
- **Event-Based:** Only consumes power when data changes (spikes).
- **1000x Efficiency:** Orders of magnitude more efficient for sparse workloads.
