Best GPUs for Running Google's Gemma LLMs Locally

For users looking to run Google's Gemma models locally, the choice of GPU depends heavily on the specific model size. Smaller variants like Gemma 2B and 7B can operate effectively on GPUs with 8-16GB of VRAM, with the RTX 4060 Ti 16GB being highlighted as a cost-effective sweet spot. Larger models, such as Gemma 27B, require a minimum of 24GB of VRAM, necessitating higher-end options like the RTX 4090 or a used RTX 3090 for optimal performance and quality. AI

IMPACT Guides users on selecting appropriate hardware for local LLM deployment, optimizing cost and performance for Gemma models.

RANK_REASON Article provides hardware recommendations for running specific AI models locally.

Read on dev.to — LLM tag →

• GeForce RTX 4060 Ti 16GB
• Gemma
• Gemma 27B
• Gemma 2 9B
• Gemma 2B
• Gemma 7B
• Ollama
• RTX 3060 12GB
• RTX 3090
• RTX 4090

• infra
• product

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