NVIDIA GPU
NVIDIA GeForce RTX 5070 Ti
The NVIDIA GeForce RTX 5070 Ti has 16GB of VRAM and 896 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
- 896 GB/s
- TDP
- 300 W
- MSRP
- $749
- 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 5070 Ti for local AI — common questions
- How much VRAM does the NVIDIA GeForce RTX 5070 Ti have?
- The NVIDIA GeForce RTX 5070 Ti has 16GB of VRAM with 896 GB/s of memory bandwidth. VRAM sets which models fit; bandwidth sets how fast they feel once they do.
- Is the NVIDIA GeForce RTX 5070 Ti 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 5070 Ti?
- It runs on CUDA · Vulkan, which covers Ollama, llama.cpp and LM Studio. Runtime choice affects speed and features, not whether a model fits.
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What an NVIDIA GeForce RTX 5070 Ti 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 5070 Ti at your own quant and context length.
Check with the NVIDIA GeForce RTX 5070 Ti preselected →Verdicts computed from published specs and measured GGUF sizes — how the math works.