# GTX 1080 Ti for Local LLM

DevFeed: [GTX 1080 Ti for Local LLM](<https://devfeed.tech/articles/gtx-1080-ti-for-local-llm-27458.md>)

Original publisher: [Read original article](<https://ariya.io/2026/02/gtx-1080-ti-for-local-llm/>)

Published: 2026-02-28T23:33:54Z

Content type: article

Language: en

Sources: [Ariya Hidayat](<https://devfeed.tech/sources/ariya-hidayat.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [CUDA](<https://devfeed.tech/topics/cuda.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [cmake](<https://devfeed.tech/tags/cmake.md>), [command-line](<https://devfeed.tech/tags/command-line.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [gcc](<https://devfeed.tech/tags/gcc.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-performance](<https://devfeed.tech/tags/inference-performance.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [llms](<https://devfeed.tech/tags/llms.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>)

## AI overview

This article evaluates the eight-year-old NVIDIA GTX 1080 Ti as an affordable option for running local LLMs. It explains how its 11 GB of VRAM can support quantized models and relevant context windows, then describes measuring prompt-processing and token-generation performance with CUDA-enabled llama.cpp.

## Source excerpt

Despite being over eight years old, the NVIDIA GTX 1080 Ti remains a compelling choice for enthusiasts keen on running LLM locally.