Nvidia GeForce RTX 5080 (16GB) alternatives

16GB VRAM is the practical floor for comfortable local inference · Best cost-per-capability in the RTX 50 line

Best for Independent developers running local models

32GB GDDR7 — runs 70B-class models quantised on a single card · Fastest consumer silicon available

Best for Local AI labs running large open-weight models

24GB VRAM at roughly $600 — unmatched cost per gigabyte · Pairs well for multi-GPU rigs (72GB across three cards)

Best for Budget-constrained local AI builds

128GB unified memory in a mini-PC chassis · Runs models that would otherwise need multiple GPUs

Best for Edge deployments needing large models in a small box

Around 20W continuous draw makes always-on genuinely practical · Dedicated appliance, no general-purpose OS to maintain

Best for Home Assistant and local-automation users

819 GB/s unified memory bandwidth · Very large unified memory pool holds models that exceed consumer VRAM

Best for Running large open-weight models locally