NVIDIA GeForce RTX 5070 Ti — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Najlepsza proporcja ceny do możliwości w serii RTX 50. 16 GB VRAM — taka sama kompatybilność z modelami jak RTX 5080, w niższej cenie.

Technical Specifications

VRAM	16 GB
Memory Bandwidth	896 GB/s
TDP	300 W
Architecture	Blackwell GB205
Release Year	2025
MSRP at Launch	$749
Inference Speed (Llama 3.1 8B Q4_K_M)	70–145 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 16 GB usable

Buy This HardwareNVIDIA GeForce RTX 5070 Ti 16GB — 16 GB VRAM · 300 W board power Deploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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NVIDIA GeForce RTX 5070 Ti 16GB

16 GB VRAM · 300 W board power

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

LLMs Compatible with 16 GB VRAM

All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.

Llama 3.1 Family	Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · `ollama run llama3.1`
Llama 3.2 Family	Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2
Qwen 3	Qwen 3 14B · 10 GB VRAM · Q4_K_M · `ollama run qwen3:14b`
Gemma 3	Gemma 3 12B Instruct · 8 GB VRAM · Q4_K_M · `ollama run gemma3:12b`
Phi-4 Family	Phi-4 (14B) · 9 GB VRAM · Q4_K_M · `ollama run phi4`
Phi-4 Mini	Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · `ollama run phi4-mini`
Mistral Family	Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · `ollama run mistral-small`
DeepSeek R1	DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · `ollama run deepseek-r1:14b`

Best Use Cases

14B models
budget Blackwell
coding

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.1:8b

FAQ

Can the NVIDIA GeForce RTX 5070 Ti run local LLMs?

Yes — the NVIDIA GeForce RTX 5070 Ti has 16 GB VRAM and runs Najlepsza proporcja ceny do możliwości w serii RTX 50. 16 GB VRAM — taka sama kompatybilność z modelami jak RTX 5080, w

How fast is the NVIDIA GeForce RTX 5070 Ti for AI inference?

The NVIDIA GeForce RTX 5070 Ti is estimated to run Llama 3.1 8B at 70–145 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 16 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 16 GB VRAM?

With 16 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 3, Gemma 3, Phi-4 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — NVIDIA GeForce RTX 5070 Ti

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VRAM Tier

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