NVIDIA RTX 4060

The RTX 4060 is NVIDIA's entry-level Ada Lovelace GPU with 8 GB of GDDR6 on a 128-bit bus (272 GB/s). At 115W TDP, it's extremely power-efficient and doesn't even need a PCIe power cable on some boards. For local AI, 8 GB VRAM is the hard limit - you can run 7B models comfortably, but anything larger is difficult.

Quick verdict

The RTX 4060 is fine for dipping your toes into local AI with 7B chat models. It's power-efficient, quiet, and cheap. But 8 GB is very limiting in 2026 - the Intel Arc B580 with 12 GB at the same price is a better AI investment.

Spec breakdown

• VRAM: 8 GB GDDR6
• Memory bandwidth: 272 GB/s (17 Gbps, 128-bit bus)
• TDP: 115 W (recommend 450W+ PSU)
• PCIe: 4.0 ×8
• Architecture: Ada Lovelace AD107-400
• CUDA cores: 3,072
• Tensor cores: 96 (4th gen)

Real-world AI inference

Model	Tokens/sec	Source
Llama 3.1 8B Q4_K_M	~45 tok/s	Community
Qwen3-8B Q4_K_M	~42 tok/s	Community
Mistral 7B Q4_K_M	~48 tok/s	Community
Mistral Small 3	Does not fit	VRAM limited

Honest alternatives

• Intel Arc B580 (~$250): 12 GB VRAM, much better for AI
• Used RTX 3060 12GB (~$200): 12 GB, cheaper, slower but more capable
• RTX 5060 (~$350): GDDR7, slightly faster

What the community says

"RTX 4060 is great for gaming but frustrating for AI. 8 GB fills up fast with context. Sold mine and got a used 3090 - completely different world."

• u/vram-matters on r/LocalLLaMA, 92 upvotes