NVIDIA RTX 4070 Super
NVIDIA RTX 4070 Super
The RTX 4070 Super is NVIDIA's mid-range Ada Lovelace GPU offering 12 GB of GDDR6X at 504 GB/s for a $599 MSRP. With the Super variant, NVIDIA bumped CUDA cores by ~20% over the regular RTX 4070. For local AI, the 12 GB VRAM is workable for 7-13B models but limiting for 30B-class.
Quick verdict
The 4070 Super is a strong gaming card that happens to be decent for entry-level local AI. It runs 7-13B models fast, but 12 GB means Mistral Small 3 requires aggressive quantization. If AI is your primary use case, stretch to a 16 GB card.
Spec breakdown
- VRAM: 12 GB GDDR6X
- Memory bandwidth: 504 GB/s (21 Gbps)
- TDP: 220 W (recommend 650W+ PSU)
- PCIe: 4.0 ×16
- Architecture: Ada Lovelace AD104-350
- CUDA cores: 7,168
- Tensor cores: 224 (4th gen)
Real-world AI inference
| Model | Tokens/sec | Source |
|---|---|---|
| Qwen3-8B Q4_K_M | ~55 tok/s | Community |
| Mistral Small 3 Q4_K_M | ~30 tok/s | Community (tight fit) |
| Qwen3-30B Q3_K_M | ~10 tok/s | Offload needed |
| ComfyUI SDXL (1024×1024) | ~13 s/image | Community |
Best models that fit
- Q4_K_M: 7-8B models - comfortable
- Q5_K_M: Llama 3.1 8B, Mistral 7B - excellent
- Q4_K_M (tight): Mistral Small 3 - needs Q3 or partial offload
Where to buy
- Amazon: Button above
- Newegg: Often has deals around $500
Honest alternatives
- RTX 4070 Ti Super used (~$650): 16 GB, much better for AI
- RTX 5070 (~$650): 12 GB GDDR7, faster memory
- Intel Arc B580 (~$250): 12 GB, budget alternative
What the community says
"4070 Super is a beast for gaming, and fine for 7B models. But I upgraded to a 4070 Ti Super for the extra 4GB - that made 30B models actually usable."
- u/ada-lover on r/LocalLLaMA, 112 upvotes
Frequently asked
Quick answers to common questions
How much VRAM does the NVIDIA RTX 4070 Super have?
The NVIDIA RTX 4070 Super has 12 GB of VRAM with 504 GB/s memory bandwidth. MSRP was $599.
What local AI models can run on the NVIDIA RTX 4070 Super?
The NVIDIA RTX 4070 Super with 12 GB VRAM can run many models depending on quantization. Models up to ~18B params may fit at Q4_K_M. Use our VRAM calculator to check specific models.
Is the NVIDIA RTX 4070 Super good for local AI inference?
NVIDIA RTX 4070 Super is best for gaming, llm-inference-entry, content-creation. Check our hardware directory for alternatives with more VRAM.
Where can I buy the NVIDIA RTX 4070 Super?
Check our buy links above for the best current prices on Amazon, Newegg, and B&H. Prices vary by retailer and availability.
How does the NVIDIA RTX 4070 Super compare to other GPUs?
NVIDIA RTX 4070 Super has 12 GB VRAM and 504 GB/s bandwidth. It works best with smaller quantized models. Browse our hardware directory for side-by-side comparisons.
Is the NVIDIA RTX 4070 Super worth buying right now?
The current price is $549 vs the MSRP of $599. The price has dropped below MSRP, making it a good time to buy.
What power supply do I need for the NVIDIA RTX 4070 Super?
The NVIDIA RTX 4070 Super has a TDP of 220W. A standard quality PSU of 650W+ should suffice. Always check the manufacturer's recommendations for your specific build.
Nearby options
Similar hardware and models that fit
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