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GIGABYTE GeForce RTX 4090 Gaming OC 24GB
24 GB VRAM, the largest local-LLM card you can buy without stepping up to RTX 5090 or pro silicon.
🎯 Bottom Line
If you are running models locally rather than paying API fees, the 4090 pays for itself fast against ChatGPT API + Midjourney + Runway combined.
Best For
Pros
- ✓24 GB VRAM is the bar for local LLM work
- ✓Unbeatable Stable Diffusion throughput
- ✓Good resale value
Cons
- ×Very expensive
- ×450W power draw
- ×Requires PCIe 4.0 + 1000W+ PSU
Frequently Asked Questions
Will the GIGABYTE RTX 4090 Gaming OC fit my case and power supply?
Treat it as a full-size, triple-slot-class card and measure your case’s GPU clearance before ordering — the WINDFORCE cooler is among the largest of its generation, and you need room for power cabling on top of the card length. On power: the GPU is rated at 450W TGP, NVIDIA’s guidance for the RTX 4090 is an 850W+ supply, and for a factory-overclocked partner card in a full system our review assumes a quality 1000W+ unit as the comfortable spec. If your case or PSU is marginal, price that upgrade into the build — our budget local-AI build guide shows what a right-sized build looks like at the other end of the scale.
Can the RTX 4090 run 70B-class models locally?
Not comfortably. As a community rule of thumb, a 70B model wants roughly 40 GB+ of VRAM at 4-bit quantization — the 4090’s 24 GB can attempt it only with aggressive quantization plus CPU offload, which costs speed and quality. What 24 GB does buy is the 30B–34B tier run properly with context headroom, the practical ceiling for a single consumer card. If 70B locally is a firm requirement, plan a dual-GPU build. Tier-by-tier guidance is in our best GPUs for local LLMs roundup.
Is the RTX 4090 still worth buying for local AI in 2026?
If your target is running 30B–34B-class models on one card, yes — 24 GB of VRAM remains the consumer ceiling short of stepping up to RTX 5090 or workstation silicon, and against ongoing API fees a heavily used card earns its price back. If your daily models are 7B–13B, it is overkill: a 16 GB card covers that tier for far less money and power draw.
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