Is the NVIDIA GeForce RTX 4090 good for local AI?

The NVIDIA GeForce RTX 4090 is a solid choice for local AI. With 24GB of GDDR6X VRAM, it is ideal for 8B–30B models at Q4_K_M quantization via Ollama.

What is the memory bandwidth of the NVIDIA GeForce RTX 4090?

The NVIDIA GeForce RTX 4090 has 1008 GB/s of memory bandwidth, which governs inference speed (tokens per second) when running local LLMs.

Pricing & Availability

Current Estimate

$1,799.00

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Last Verified: 2026-05-04

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What Can It Run?

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NVIDIA GeForce RTX 4090

The previous generation's king. 24GB VRAM and high CUDA counts remain the industry standard for consumer AI development.

Technical Datasheet

Specification	Value	AI Impact
VRAM Capacity	24 GB GDDR6X	Determines maximum model size (parameters).
Memory Bandwidth	1008 GB/s	Governs tokens per second (inference speed).
AI Performance	1321 TOPs	Raw throughput for FP8/INT8 matrix operations.
Power Draw (TDP)	450 W	Thermal design & PSU overhead requirements.
VRAM Type	GDDR6X	Memory generation affects bandwidth ceiling.

AI Model Compatibility

Llama 3.1 8B (Q4_K_M)

✓ PERFECT — Lightning Fast

Mistral NeMo 12B (Q4_K_M)

✓ COMPATIBLE — Smooth

DeepSeek R1 32B (Q4_K_M)

✓ COMPATIBLE

Llama 3.3 70B (Q4_K_M)

✗ Needs multi-GPU or CPU offload

See all 24GB-compatible models →

Price History

Savings Analysis

Currently $1590.95 below the 90-day peak.

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