NVIDIA GeForce RTX 5090 — Local LLM Performance & Compatibility

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

The fastest consumer GPU for local AI. 32 GB VRAM fits Qwen 3 32B and Llama 3.3 70B with Q3 quantization on a single card. 67% faster than RTX 4090.

Technical Specifications

VRAM	32 GB
Memory Bandwidth	1792 GB/s
TDP	575 W
Architecture	Blackwell GB202
Release Year	2025
MSRP at Launch	$1,999
Inference Speed (Llama 3.1 8B Q4_K_M)	~213 tokens/sec
Inference Speed (Llama 3.3 70B Q4_K_M)	~48 tokens/sec

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

NVIDIA GeForce RTX 5090 32GB

Sugerowana cena premierowa: $1,999

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

LLMs Compatible with 32 GB VRAM

All models below run comfortably in 32 GB VRAM with Q4_K_M quantization.

Llama 4	67 GB VRAM (smallest variant — needs more VRAM or a lower quant) · Q4_K_M · `ollama run llama4:scout`
Llama 3.3	43 GB VRAM (smallest variant — needs more VRAM or a lower quant) · Q2_K_XS (Tight) · `ollama run llama3.3`
Llama 3.1 Family	6 GB VRAM · Q4_K_M · `ollama run llama3.1`
DeepSeek R1	20 GB VRAM · Q4_K_M · `ollama run deepseek-r1:32b`
Qwen 3	20 GB VRAM · Q4_K_M · `ollama run qwen3:32b`
Qwen 3.5	22 GB VRAM · Q4_K_M · `ollama run qwen3.5:35b-a3b`
Qwen 3.6	22 GB VRAM · Q4_K_M · `ollama run qwen3.6:35b-a3b`
Qwen 3.7	22 GB VRAM · Q4_K_M · qwen3-7

Best Use Cases

70B models
32B models
fastest inference
production

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama4:scout

FAQ

Can the NVIDIA GeForce RTX 5090 run local LLMs?

Yes — the NVIDIA GeForce RTX 5090 has 32 GB VRAM and runs The fastest consumer GPU for local AI. 32 GB VRAM fits Qwen 3 32B and Llama 3.3 70B with Q3 quantization on a single car

How fast is the NVIDIA GeForce RTX 5090 for AI inference?

The NVIDIA GeForce RTX 5090 runs Llama 3.1 8B at ~213 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~48 tokens/sec.

What LLMs can I run on 32 GB VRAM?

With 32 GB you can run: Llama 4, Llama 3.3, Llama 3.1 Family, DeepSeek R1, Qwen 3. Use Ollama for the easiest setup: ollama run llama4:scout.

Can I Run It? — NVIDIA GeForce RTX 5090

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VRAM Tier

Best LLMs for 32 GB VRAM

Buying Guide

Best GPU Buyer Guide 2026

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