RTX 5070 Ti vs RTX 3090: VRAM vs. New Tech for Local LLMs

A comparison between the new NVIDIA RTX 5070 Ti and a used RTX 3090 for running large language models (LLMs) locally reveals distinct advantages for each. The RTX 5070 Ti, priced at $750, offers 16GB of GDDR7 VRAM and newer architecture, making it suitable for smaller models up to 13B parameters and general computing tasks. The used RTX 3090, available for around $600, provides a larger 24GB of GDDR6X VRAM, which is crucial for running larger models like 34B parameters and offers a path to multi-GPU setups for even larger models. AI

IMPACT Determines optimal hardware for local LLM inference, impacting cost and capability for AI operators.

RANK_REASON Comparison of hardware specifications and performance for a specific use case (LLMs). [lever_c_demoted from research: ic=1 ai=0.7]

Read on dev.to — LLM tag →

• CodeLlama 34B
• Llama 3 8B
• LLM
• Mistral 7B
• NVIDIA RTX 5070 Ti
• Qwen 2.5 14B
• Qwen 2.5 32B
• RTX 3060 12GB
• NVIDIA RTX 3090
• RTX 4090

• infra

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