Expired50% confidenceFactExact time
Gemma 4 31B can run on a regular consumer GPU with around 50 TOPS of compute.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Gemma 4 Open-Source Model Local Deployment Guide: Ollama Installation & Mobile Setup
bilibili搞机零距离-6/10/2026
Related Claims
UnverifiedThe Gemma 4 26B MOE version achieves an actual inference speed of 60 tokens per second on a GPU with 24GB of VRAM.73% similarUnverifiedAfter quantization, Gemma 4 31B has a model size of approximately 20GB, with measured GPU memory usage of approximately 20.5GB and GPU utilization of approximately 91%.72% similarUnverifiedThe Gemma 4 26B MOE version can run on a graphics card with 24GB of VRAM.65% similarUnverifiedThe Gemma 4 26B model is approximately 17 GB and is best suited for GPUs with 24 GB or more of VRAM, delivering the best programming performance65% similarUnverifiedConsumer-grade GPUs such as the RTX 4090 have 24 GB of VRAM and can run quantized models with billions of parameters.65% similar
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