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NVIDIA · RTX 40
NVIDIA GeForce RTX 4070 SUPER
$550$599 MSRP
The RTX 4070 SUPER is an excellent 1440p gaming card with 12GB of GDDR6X memory. For gaming, it delivers smooth performance at high settings. For AI, the 12GB VRAM limits you to 7B-8B models, which is enough for a personal chatbot or code assistant but not for larger reasoning models. A great choice for gaming-first builds with light AI experimentation.
Best For1440p gaming with entry-level local AI
VerdictExcellent 1440p card, but 12GB is the floor for AI — consider 16GB cards if AI matters.
AI
6/10
Gaming
8/10
Specifications
VRAM12GB GDDR6X
Memory Bandwidth504 GB/s
CUDA Cores7,168
Boost Clock2475 MHz
TDP220W
Power Connector1x 8-pin
Length267mm
Form FactorDual Slot
Release Year2024
AI Capabilities
Entry Level12GB VRAM
Limited to small models with heavy quantization. Fine for experimenting.
Can run (Q4 quantized)
Llama 3.1 8BQwen 2.5 14BMistral 7BFLUX.1 DevStable Diffusion XLStable Diffusion 3.5 LargeCogVideoX-5BMochi 1LTX VideoStable Video DiffusionWan Video 14BAlphaFold 2ESMFold (ESM-2 15B)ESM-2 3BscGPTRFdiffusionFine-tune Llama 8BTrain SDXL LoRA
Tight fit (may need CPU offload)
HunyuanVideo (14GB Q4)Codestral 22B (13GB Q4)Train FLUX LoRA (16GB Q4)
Recommended system RAM for AI: 24GB+ (2x GPU VRAM for model overflow)
Performance Estimates
Estimated tokens/sec for LLM inference based on 504 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?
Llama 3.1 8B8B
Q8~37-45 tok/sFastQwen 2.5 14B14B
Q4~34-42 tok/sFastMistral 7B7B
Q8~42-52 tok/sFastCodestral 22B22B
Offload~1-3 tok/sVery slowPros
- +Great 1440p card
- +Reasonable power consumption
- +No adapter needed
Cons
- -12GB limits AI use
- -Not great for 4K without DLSS
gamingai
Will It Run?
Llama 3.1 8B8B
Q8Qwen 2.5 14B14B
Q4Mistral 7B7B
Q8FLUX.1 Dev12B
Q4Stable Diffusion XL6.6B
Q8Stable Diffusion 3.5 Large8B
Q8HunyuanVideo13B
OffloadCogVideoX-5B5B
Q8