NVIDIA GPU
NVIDIA GeForce RTX 4070 Ti SUPER
The NVIDIA GeForce RTX 4070 Ti SUPER has 16GB of VRAM and 672.3 GB/s of memory bandwidth. Its sweet spot tops out around gpt-oss-20b — the largest model that loads cleanly at a quality quant with llama.cpp at 8K context.
- VRAM
- 16 GB
- Memory bandwidth
- 672.3 GB/s
- TDP
- 285 W
- MSRP
- $799
- Backends
- CUDA · Vulkan
Also good for gaming — 4K-class (estimated from FP32 compute, not a game benchmark)
Specs as of 2026-07-08 · source
NVIDIA GeForce RTX 4070 Ti SUPER for local AI — common questions
- How much VRAM does the NVIDIA GeForce RTX 4070 Ti SUPER have?
- The NVIDIA GeForce RTX 4070 Ti SUPER has 16GB of VRAM with 672.3 GB/s of memory bandwidth. VRAM sets which models fit; bandwidth sets how fast they feel once they do.
- Is the NVIDIA GeForce RTX 4070 Ti SUPER good for running AI models locally?
- Yes, within limits. 16GB comfortably runs small and mid-size models at a quality quant, but the largest open models will not fit. The largest model it loads cleanly is gpt-oss-20b, at a quality quant with llama.cpp at 8K context.
- What runtimes work with the NVIDIA GeForce RTX 4070 Ti SUPER?
- It runs on CUDA · Vulkan, which covers Ollama, llama.cpp and LM Studio. Runtime choice affects speed and features, not whether a model fits.
Affiliate link — we may earn a commission. Verdicts are computed before any link is attached.
What an NVIDIA GeForce RTX 4070 Ti SUPER can run
Every model we track, graded at its best clean-fit quant. Click any verdict for the full breakdown.
Have a specific model in mind? Check it against the NVIDIA GeForce RTX 4070 Ti SUPER at your own quant and context length.
Check with the NVIDIA GeForce RTX 4070 Ti SUPER preselected →Verdicts computed from published specs and measured GGUF sizes — how the math works.