Condition
VRAM
Budget
Use Case

VRAM is the primary bottleneck for local inference. Token speed is secondary.

Main rankings · Methodology

Best GPUs for Local LLMs in 2026

Ranked for local inference, VRAM efficiency, usable token speed, and real 2026 street pricing. Token speed measured running Llama 3 8B Q4 via Ollama on each card at stock settings.

Local AI:
RTX 3090still dominates sub-$500 local AI builds24 GB for ~$390  ·  eBay listings 24 GB VRAMremains the strongest practical threshold for serious local LLM use RTX 3060 12GBcheapest true entry card~$145 usedruns small Llama models  ·  check price Avoid high-price gaming cards with weak VRAM mathRTX 5080 at $1,149 gives only 16 GB RTX 4090top consumer performance at 52 tok/sbut pricing is hard to justify vs 3090 used RTX 3090still dominates sub-$500 local AI builds24 GB for ~$390  ·  eBay listings 24 GB VRAMremains the strongest practical threshold for serious local LLM use RTX 3060 12GBcheapest true entry card~$145 usedruns small Llama models  ·  check price Avoid high-price gaming cards with weak VRAM mathRTX 5080 at $1,149 gives only 16 GB RTX 4070 Ti Super16 GB newsafest modern balance for local inference under $900
All AI picks ›
Used GPU Fair Price Checker Check if VRAM-per-dollar still makes sense for local AI builds.
GPU
Asking Price ($)
Seller Source
Warranty
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# GPU VRAM Used / New Price Local LLM Tier Token Speed Verdict Best Source

Token speed = Llama 3 8B Q4_K_M via Ollama, stock settings, Mar 2026. Used prices = eBay 90-day sold median.  Full methodology ›

Local AI Buyer Notes
Best Starter
RTX 3060 12GB
Cheapest serious local inference card. 12 GB runs small Llama models and Stable Diffusion. ETH limiter kept mining saturation low — safer used buy than most Ampere cards.
Best Used
RTX 3090
Strongest VRAM-per-dollar on the market. 24 GB for ~$390 used. No new card under $1,000 matches it for local inference value. Check eBay sold listings, not asking prices.
Best New
RTX 4070 Ti Super
Safest modern balance for new buyers. 16 GB VRAM, current architecture, CUDA ecosystem fully supported. Better long-term driver support than used Ampere cards.