Lowest pressure
E2B
For edge-style tasks, compact inference, and the smallest local footprint.
Gemma 4 hardware guide
The easiest way to think about Gemma 4 hardware requirements is by tier. E2B and E4B are your lower pressure options. 26B is the balanced serious-local tier. 31B is the quality-first workstation tier.
Quick guidance
Lowest pressure
For edge-style tasks, compact inference, and the smallest local footprint.
Light local AI
For laptops and lighter local experiments that still need usable output quality.
Balanced serious tier
For stronger coding and agentic work when you want a practical default recommendation.
Highest pressure
For workstations where quality matters more than latency or hardware overhead.
Practical reading
A lot of searchers treat hardware requirements as a question of “can I run it?” The more useful question is “which Gemma 4 model is practical on my hardware for repeated use?”
If your workflow is exploratory or hardware-constrained, the smaller Gemma 4 models are not fallback picks. They are the right answer for lighter local AI use.
For many developers, 26B is where Gemma 4 starts to feel like a real daily-use model rather than a lightweight experiment.
The largest model makes the most sense when the machine is built for heavier local inference and the goal is stronger output, not the fastest loop.
Next steps