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NVIDIA · RTX 40
NVIDIA GeForce RTX 4070 Ti SUPER
$750$799 MSRP
The RTX 4070 Ti SUPER is a compelling mid-to-high-end option with 16GB of GDDR6X VRAM. It handles 1440p and 4K gaming well, and the 16GB VRAM makes it viable for running 14B parameter LLMs and Stable Diffusion. It occupies a sweet spot for builders who want both gaming and AI capability without paying flagship prices.
Best For1440p/4K gaming with enough VRAM for real AI work
VerdictThe affordable 16GB option for gamers who want to run local AI models.
AI
7/10
Gaming
8/10
Specifications
VRAM16GB GDDR6X
Memory Bandwidth672 GB/s
CUDA Cores8,448
Boost Clock2610 MHz
TDP285W
Power Connector1x 16-pin
Length290mm
Form FactorDual Slot
Release Year2024
AI Capabilities
Capable16GB VRAM
Runs most popular models with quantization. The minimum for serious AI work.
Can run (Q4 quantized)
Llama 3.1 8BQwen 2.5 14BMistral 7BFLUX.1 DevStable Diffusion XLStable Diffusion 3.5 LargeHunyuanVideoCogVideoX-5BMochi 1LTX VideoStable Video DiffusionWan Video 14BCodestral 22BAlphaFold 2ESMFold (ESM-2 15B)ESM-2 3BscGPTRFdiffusionFine-tune Llama 8BTrain SDXL LoRATrain FLUX LoRA
Tight fit (may need CPU offload)
Qwen 2.5 32B (20GB Q4)Qwen 2.5 Coder 32B (20GB Q4)LLaVA 1.6 34B (20GB Q4)
Recommended system RAM for AI: 32GB+ (2x GPU VRAM for model overflow)
Performance Estimates
Estimated tokens/sec for LLM inference based on 672 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?
Llama 3.1 8B8B
FP16~23-29 tok/sUsableQwen 2.5 32B32B
Offload~1-3 tok/sVery slowQwen 2.5 14B14B
Q8~28-34 tok/sUsableMistral 7B7B
FP16~26-33 tok/sUsableCodestral 22B22B
Q4~32-39 tok/sFastQwen 2.5 Coder 32B32B
Offload~1-3 tok/sVery slowPros
- +16GB VRAM upgrade over 4070 Ti
- +Great 1440p/4K gaming
- +Solid AI card for the price
Cons
- -Incremental over 4070 Ti
- -Still needs 16-pin connector
gamingai
Will It Run?
Llama 3.1 8B8B
FP16Qwen 2.5 32B32B
OffloadQwen 2.5 14B14B
Q8Mistral 7B7B
FP16FLUX.1 Dev12B
Q8Stable Diffusion XL6.6B
FP16Stable Diffusion 3.5 Large8B
Q8HunyuanVideo13B
Q4