NVIDIA RTX 4070

The RTX 4070 is NVIDIA's popular mid-range Ada Lovelace GPU, offering 12 GB of GDDR6X at 504 GB/s with a 200W TDP. For local AI in 2026, it's a capable entry-level option - 7-8B models run fast and comfortably, but the 12 GB VRAM ceiling means larger models require heavy quantization or CPU offloading.

Quick verdict

At $500 or less, the RTX 4070 is a decent entry point into local AI if you also game. The 12 GB VRAM and 200W TDP make it efficient for running 7-8B models at speed. But dedicated AI builders should look at 16 GB cards or the Intel Arc B580 for better VRAM value.

Spec breakdown

• VRAM: 12 GB GDDR6X
• Memory bandwidth: 504 GB/s (21 Gbps)
• TDP: 200 W (recommend 600W+ PSU)
• PCIe: 4.0 ×16
• Architecture: Ada Lovelace AD104-250
• CUDA cores: 5,888
• Tensor cores: 184 (4th gen)

Real-world AI inference

Model	Tokens/sec	Source
Llama 3.1 8B Q4_K_M	~50 tok/s	Community
Qwen3-8B Q4_K_M	~48 tok/s	Community
Mistral Small 3 Q4_0	~25 tok/s	Tight fit
Qwen3-30B Q3_K_M	~8 tok/s	Offload needed

Where to buy

• Amazon: Button above
• Used market: ~$400-450 on eBay

Honest alternatives

• RTX 4070 Super (~$550): ~15% faster, same VRAM
• Intel Arc B580 (~$250): 12 GB, same VRAM, much cheaper
• Used RTX 3090 (~$700): 24 GB VRAM - 2× the capacity

What the community says

"Had an RTX 4070 for a year. Great for 7B models and gaming. Upgraded to a 3090 for the VRAM - night and day for local AI."

• u/ai-upgrader on r/LocalLLaMA, 78 upvotes