Use-case guide · RAG chatbot

Should you pick RTX 4070 Ti for rag chatbot?

RTX 4070 Ti has 12 GB VRAM. Whether it's the right fit for rag chatbot depends on your model size, expected QPS, and budget. Below is what we're seeing in production.

VRAM + model fit

RTX 4070 Ti fits models up to ~8B parameters in BF16 comfortably with room for KV-cache. For rag chatbot specifically, you'll want to leave headroom for context length growth.

Pricing

Live pricing across all providers for RTX 4070 Ti is on the GPU detail page — click through for the sortable list.

Throughput

On rag chatbot workloads, RTX 4070 Ti typically delivers the throughput published in its FP16 spec, minus the framework overhead (vLLM ≈ 85% MFU, TGI ≈ 70%).

Try the calculator to size the hardware for your specific model, or see all GPUs on the InferenceScore leaderboard.