🛒 purchase-advisor · brief generated 2026-06-25 · for Kim

Best GPU for running a smaller local LLM

Best-value GPU per GB of VRAM for 7B–13B local LLM inference · open to used or new · value-focused

✅ The pick

Used NVIDIA RTX 3090 24GB

The community is unanimous: 24GB VRAM is the local-LLM sweet spot, and the used 3090 is the cheapest path to it. ~$33–44 per VRAM GB, 2–3x the capacity of comparably-priced new cards. CUDA plug-and-play with Ollama, llama.cpp, vLLM.

At a glance

OptionFitSentimentLongevityMaker & conduct
RTX 3090 24GB (used)24GB fits 7B–30B models Overwhelmingly positive 4–5yr; runs hot 2✓ 2~ 0✗
RTX 4060 Ti 16GB16GB, bandwidth bottleneck Best budget pick; slow New; runs cool 2✓ 2~ 0✗
RX 9070 XT 16GB16GB, ROCm still rough Mixed for LLM use Too early to tell 1✓ 3~ 0✗

The options in full

Used NVIDIA RTX 3090 24GB Pick

What it is
NVIDIA Ampere flagship (2020). 24GB GDDR6X, 936 GB/s bandwidth, 10496 CUDA cores. Still the most VRAM you can get under $1,000.
Fit
24GB fits 7B at FP16, 13B at 8-bit, 30B+ at 4-bit comfortably. Headroom for larger context windows and future model generations.
Tradeoffs
350W power draw. Used card — may have been mined on. Some need thermal pad replacement at 4+ years.
Sentiment
Called "the best value on the market," "still the best value 24GB card," and the "cleanest sub-$1000 path to 24GB." r/LocalLLM, r/LocalLLaMA, and r/Amd_Intel_Nvidia all converge on the same pick. Recurring complaint: thermal pad degradation after years of mining use.
Longevity
4–5 years in service. GDDR6X runs hot (110°C junction normal). NVIDIA driver support still active on Ampere.
Maker & conduct
✓ price ~ durability ✓ reviews ~ aesthetics

Net: 2✓ 2~ 0✗ — best VRAM-per-dollar on the market; durability caveat from used card age/mining history. NVIDIA cut gaming production 30–40% in H1 2026 (Compute Market), but the used market avoids new-card price gouging.

Where sold

NVIDIA RTX 4060 Ti 16GB Also good

Pick instead if
$800+ for a used card feels like too much risk. New, in-warranty, 16GB at ~$450.
What it is
Ada Lovelace mid-range. 16GB GDDR6, 288 GB/s bandwidth (128-bit bus PCIe 4.0 x8). The 16GB variant was purpose-built for AI work.
Tradeoffs
Memory bandwidth is 1/3 of the 3090’s — 2–3x slower token generation. 128-bit bus is the recurring complaint: "A 16GB card beats a faster 8GB card every time, but a wider-bus 16GB card beats this one."
Sentiment
Per KnowledgeLib, the "best budget pick." However, r/LocalLLaMA threads consistently note the speed bottleneck matters for interactive use.
Longevity
New card, Ada architecture well-supported. Runs cool (~160W). Likely 5+ year driver support.
Maker & conduct
✓ price ✓ durability ~ reviews ~ aesthetics

Net: 2✓ 2~ 0✗ — best new-VRAM-per-dollar; review caveat from bandwidth bottleneck affecting real-world inference speed.

Where sold
  • Amazon
  • Newegg
  • Best Buy
  • B&H Photo

AMD Radeon RX 9070 XT 16GB Also good

Pick instead if
You run Linux and want a new card with good hardware value. Wider memory bus than the 4060 Ti (512 vs 288 GB/s).
What it is
AMD RDNA4 flagship, released early 2026. 16GB GDDR6, 512 GB/s bandwidth (256-bit bus). Street price hit $629–655 in June 2026 per GamersNexus.
Tradeoffs
ROCm on RDNA4 is rough. Vulkan works better (9% faster, 50% less power) but you really want Linux. "The software ecosystem hasn't fully caught up yet."
Sentiment
Mixed for LLM. Great hardware. Rough software. r/LocalLLaMA, r/ROCm, r/ollama all show the friction. A builder asking about dual 9070 XT: "AMD gives more VRAM for the price — but will it actually work?"
Longevity
RDNA4 is months old. Too early for track record data.
Maker & conduct
✓ price ~ durability ~ reviews ~ aesthetics

Net: 1✓ 3~ 0✗ — good price but the software gap pulls reviews and long-term durability (unproven) into neutral territory. ROCm is open source; AMD has no anti-consumer production cut reports.

Where sold
  • Amazon
  • Newegg
  • Micro Center
  • Best Buy
⚠️ Watch-outs