NVIDIA GPU
NVIDIA GeForce RTX 3080 10 GB
The NVIDIA GeForce RTX 3080 10 GB has 10GB of VRAM and 760.3 GB/s of memory bandwidth. Its sweet spot tops out around Qwen3.5-9B — the largest model that loads cleanly at a quality quant with llama.cpp at 8K context.
- VRAM
- 10 GB
- Memory bandwidth
- 760.3 GB/s
- TDP
- 320 W
- MSRP
- $699
- Backends
- CUDA · Vulkan
Also good for gaming — 1440p-class (estimated from FP32 compute, not a game benchmark)
Specs as of 2026-07-08 · source
NVIDIA GeForce RTX 3080 10 GB for local AI — common questions
- How much VRAM does the NVIDIA GeForce RTX 3080 10 GB have?
- The NVIDIA GeForce RTX 3080 10 GB has 10GB of VRAM with 760.3 GB/s of memory bandwidth. VRAM sets which models fit; bandwidth sets how fast they feel once they do.
- Is the NVIDIA GeForce RTX 3080 10 GB good for running AI models locally?
- Only for smaller models. 10GB restricts you to compact models, or forces aggressive quantization and CPU offload. The largest model it loads cleanly is Qwen3.5-9B, at a quality quant with llama.cpp at 8K context.
- What runtimes work with the NVIDIA GeForce RTX 3080 10 GB?
- 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 3080 10 GB 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 3080 10 GB at your own quant and context length.
Check with the NVIDIA GeForce RTX 3080 10 GB preselected →Verdicts computed from published specs and measured GGUF sizes — how the math works.