Kimi K2.7 Code
1,000 billion parameters · Modified MIT license · moonshotai/Kimi-K2.7-Code
How much GPU memory does this need?
required GB = parameters (billions) × 1 GB, plus 20% working room
1,000 × 1 GB = 1,000 GB
1,000 GB × 1.2 = 1,200.0 GB required
GPU memory is the "workspace" a graphics card uses to hold an AI model while it runs. If a model is bigger than the available memory, it simply will not fit — like trying to fit a large book on a shelf that's too small. More in the wiki →
Minimum setup to run Kimi K2.7 Code
- 1,440 GB combined GPU memory (needs ≥ 1,200.0 GB — meets the requirement)
- 14,300 W combined power draw
- $500,000 total price
That's as much power as about 11.9 average homes, and about 3.81 electric-car batteries of energy per day of running. An average home draws roughly 1,200 watts around the clock. This compares a build's power draw to that baseline. More in the wiki →