NVIDIA RTX 5070 Ti

The RTX 5070 Ti is the best price-to-performance Blackwell GPU for local AI inference. With 16 GB of GDDR7 at 896 GB/s and a $749 MSRP, it delivers ~90% of the RTX 5080's AI performance for 75% of the price. The 300W TDP also makes it easier to cool and power than higher-end Blackwell cards.

Quick verdict

The 5070 Ti hits the sweet spot for mid-range local AI builds. It runs Qwen3-30B at ~20 tok/s, has the same 16 GB VRAM ceiling as the $999 RTX 5080, and costs hundreds less. The main tradeoff is slightly lower memory bandwidth (896 vs 960 GB/s) and fewer CUDA cores.

Spec breakdown

• VRAM: 16 GB GDDR7
• Memory bandwidth: 896 GB/s (28 Gbps effective)
• TDP: 300 W (recommend 750W+ PSU)
• PCIe: 5.0 ×16
• Architecture: Blackwell GB203-300
• CUDA cores: 8,960
• Tensor cores: 280 (5th gen)

Real-world AI inference

Model	Tokens/sec	Source
Qwen3-30B Q4_K_M	~20 tok/s	r/LocalLLaMA
Mistral Small 3 Q5_K_M	~42 tok/s	Community
Llama 3.3 70B Q3_K_M	~10 tok/s	r/LocalLLaMA offload
ComfyUI SDXL (1024×1024)	~11 s/image	Community
ComfyUI Flux Dev	~35 s/image	Community

Best models that fit

• Q4_K_M: Qwen3-30B fits with comfortable context
• Q5_K_M: Mistral Small 3 - excellent fit
• Q8_0: 7-13B models with full precision
• Q3_K_M: Llama 3.3 70B - partial offload needed

Where to buy

Affiliate disclosure: links below earn us a small commission.

• Amazon: Button above - typically best pricing
• Newegg: Good alternative, sometimes better stock

Honest alternatives

• RTX 5070 (~$550): 12GB VRAM - less future-proof but $350 cheaper
• RTX 5080 (~$1,300): Same VRAM, ~10% faster, $400+ more
• RTX 4070 Ti Super used (~$650): 16GB GDDR6X, slower but cheaper

What the community says

"Picked up a 5070 Ti for $850 - runs Qwen3-30B at 20 tok/s which is all I need for my daily coding assistant. Half the price of a 5090 for 90% of the practical use."

• u/ai-builder-101 on r/LocalLLaMA, 203 upvotes