FrontierApril 18, 2026via Reuters Technology
Gemma 4 just replaced my whole local LLM stack - MakeUseOf
Why it matters
Google's Gemma 4 represents a meaningful shift in on-device AI efficiency—a 2.3B model matching 70B-scale performance on minimal hardware removes a key barrier to local-first AI adoption and challenges the cloud-dependency thesis.
Key signals
- Gemma 4: 2.3B parameters
- Runs on 1.5GB RAM
- Performance parity with 70B-scale models claimed
- Offline/on-device capability on Pixel phones
- Privacy-focused local execution
- Published April 18, 2026
The hook
2.3B parameters. 1.5GB RAM. Google's Gemma 4 just made running cutting-edge AI locally viable for the first time.
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