Hardware Evolution
The relentless pursuit of computational power and the shift towards "Intelligence per Watt".
Quantum Efficiency
Transitioning to nano-scale architectures (CNT transistors, 2nm nodes) to reduce power density by 30-75%.
Target: Near-zero energy per solution
Closed-Loop H2
Using data center waste heat (600-1000°C) to drive SOEC electrolysis for high-efficiency "Pink Hydrogen" production.
Result: Circular Energy Economy
Desalination Cooling
Channeling low-grade waste heat into thermal desalination to produce cooling water and potable water for communities.
Impact: Net-Positive Water Usage
Accelerator Landscape
Comparing key AI hardware platforms
NVIDIA H100
The Industry Standard
Power:700W
Memory:80GB
NVIDIA B200
Next-Gen Powerhouse
Power:~1000W
Perf:30x Inf.
Google TPU v5p
Cloud Native
Focus:Efficiency
Scale:Pod-level
Trend: Increasing Power Density
While performance per watt is improving, the absolute power consumption per chip is rising, driving the need for liquid cooling. Rack densities are pushing past 100kW.
Intelligence per Watt
A new metric for AI efficiency
Moving beyond FLOPS/Watt to measure the actual "intelligence" output (e.g., tokens generated, accuracy achieved) per unit of energy.
Consumer DevicesHigh Efficiency
Data Center GPUsHigh Throughput
NeuromorphicFuture Potential