2.6x Less Energy. Same AI.
Running AI models in datacenters wastes massive energy. AlphaLlama runs the same 397B model on a single consumer GPU — 2.6x less power, zero cooling overhead.
Standard
3x A100 80GB
AlphaLlama
1x RTX 3090
Power consumption: running Qwen3.5 397B inference. Same model, same speed, 2.6x less energy.
AI's Growing Energy Crisis
Global AI datacenters consumed an estimated 100 TWh in 2025 — more than many countries. By 2028, AI could consume 4% of all US electricity.
Running large language models requires multi-GPU clusters drawing thousands of watts around the clock. Cooling these systems consumes another 20-30% on top.
Every unnecessary GPU running in a datacenter means more CO2, more water for cooling, and more strain on power grids. There is a better way.
The Energy Impact
2.6x
less GPU power
3.3x
less with cooling included
7,183
kWh saved per year (24/7)
3x
less hardware needed
Energy Comparison — Qwen3.5 397B
Inference — 397B Model at 38 tok/s
| Metric | Standard | AlphaLlama | Saving |
|---|---|---|---|
| GPU Power | 900W | 350W | 2.6x |
| With Cooling (PUE 1.3) | 1,170W | 350W | 3.3x |
| Annual Energy (24/7) | 10,249 kWh | 3,066 kWh | 7,183 kWh |
| Annual CO2 | 3,997 kg | 1,196 kg | 2,801 kg |
Standard: 3x A100 80GB. AlphaLlama: 1x RTX 3090. Running Qwen3.5 397B at 38 tok/s. Consumer GPUs need no datacenter cooling. CO2 at US grid average (0.39 kg/kWh).
At Scale: 1,000 Users
What happens when 1,000 users switch from datacenter clusters to AlphaLlama on consumer GPUs.
7.2 GWh
energy saved per year
2,801 tons
CO2 reduction per year
2,000
enterprise GPUs no longer needed
Three Green Advantages
2.6x Less Energy
One consumer GPU replaces a 3-GPU datacenter cluster. 350 watts instead of 900. No datacenter power infrastructure needed.
3x Less Hardware
Fewer GPUs manufactured means less mining, less fabrication energy, and less e-waste. Consumer GPUs last 5-7 years vs 2-3 year datacenter refresh cycles.
Zero Cooling Overhead
Datacenters spend 20-30% of total energy on cooling (PUE 1.2-1.5). A consumer GPU at your desk needs no chilled water, no HVAC, no cooling towers.
Powerful AI Shouldn't Cost the Earth
Every inference run on a consumer GPU instead of a datacenter cluster reduces CO2. We make existing hardware more efficient — for your wallet and for the planet.
Start Saving Energy