# Best GPU for local AI under $300 (2026) | What Can I Run AI? > The GPUs, Macs and mini PCs under $300 with the most usable memory for local LLMs, up to OLMo-2-1124-13B-Instruct at Q4. Prices, $ per GB and models that fit. Source: https://whatcanirunai.vercel.app/best-gpu-under/300/ # Best GPU for local AI under $300 Every GPU, Mac and mini PC we track that costs $300 or less, ranked by how much memory a model can actually use, since memory decides which LLMs fit. Checks are at Q4\_K\_M with about 4k context. Devices at or under $300 8 8 GPUs, 0 Mac/mini PC Most usable memory 12 GB Biggest at Q4 OLMo-2-1124-13B-Instruct For $300 or less, the **Intel Arc B580** gives you the most usable memory (12 GB, $249) and runs up to **OLMo-2-1124-13B-Instruct** at Q4\. Worth stretching: the [Radeon RX 7600 XT](https://whatcanirunai.vercel.app/hardware/rx-7600-xt/) has 16 GB for $329. ## Top picks Top GPU pick: most VRAM ### [Intel Arc B580](https://whatcanirunai.vercel.app/hardware/arc-b580/) Usable memory 12 GB Price per usable GB $21 Run at Q4 350 / 656 Biggest at Q4: [OLMo-2-1124-13B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-1124-13b-instruct/) **$249** list price (MSRP), [source](https://en.wikipedia.org/wiki/Intel%5FArc#Battlemage), 2026-10-22 Street prices may be higher than list. [Amazon](https://www.amazon.com/s?k=Intel%20Arc%20B580&tag=whatcanirunai-20)[eBay](https://www.ebay.com/sch/i.html?%5Fnkw=Intel%20Arc%20B580) We may earn a commission when you buy through these links, at no extra cost to you. ## GPUs at or under $300 Most VRAM first. Graphics cards count all their VRAM as usable. __GPUs priced at or under $300__ | Device | Price | Usable memory | $ per usable GB | Biggest model at Q4 | Models that fit | | ----------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------- | --------------- | ------------------------------------------------------------------------------- | --------------- | | [Intel Arc B580](https://whatcanirunai.vercel.app/hardware/arc-b580/)12 GB VRAM | $249list price (MSRP), [source](https://en.wikipedia.org/wiki/Intel%5FArc#Battlemage), 2026-10-22 | 12 GB[12 GB tier](https://whatcanirunai.vercel.app/best-llm-for/12gb-vram/) | $21 | [OLMo-2-1124-13B-Instruct](https://whatcanirunai.vercel.app/models/olmo-2-1124-13b-instruct/)\~10.6 GB at Q4 | 350 / 656 | | [Intel Arc B570](https://whatcanirunai.vercel.app/hardware/arc-b570/)10 GB VRAM | $219list price (MSRP), [source](https://en.wikipedia.org/wiki/Intel%5FArc), 2026-10-28 | 10 GB[10 GB tier](https://whatcanirunai.vercel.app/best-llm-for/10gb-vram/) | $22 | [HyperCLOVAX-SEED-Omni-8B](https://whatcanirunai.vercel.app/models/hyperclovax-seed-omni-8b/)\~8.5 GB at Q4 | 340 / 656 | | [GeForce RTX 3050 8GB](https://whatcanirunai.vercel.app/hardware/rtx-3050-8gb/)8 GB VRAM | $249list price (MSRP), [source](https://en.wikipedia.org/wiki/GeForce%5F30%5Fseries), 2026-10-22 | 8 GB[8 GB tier](https://whatcanirunai.vercel.app/best-llm-for/8gb-vram/) | $31 | [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)\~7.2 GB at Q4 | 315 / 656 | | [Radeon RX 7600](https://whatcanirunai.vercel.app/hardware/rx-7600/)8 GB VRAM | $269list price (MSRP), [source](https://en.wikipedia.org/wiki/List%5Fof%5FAMD%5Fgraphics%5Fprocessing%5Funits), 2026-10-28 | 8 GB[8 GB tier](https://whatcanirunai.vercel.app/best-llm-for/8gb-vram/) | $34 | [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)\~7.2 GB at Q4 | 315 / 656 | | [Intel Arc A750](https://whatcanirunai.vercel.app/hardware/arc-a750/)8 GB VRAM · Discontinued; buy used. Price shown is the original launch MSRP. | $289list (launch MSRP; discontinued), [source](https://en.wikipedia.org/wiki/Intel%5FArc), 2026-10-28 | 8 GB[8 GB tier](https://whatcanirunai.vercel.app/best-llm-for/8gb-vram/) | $36 | [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)\~7.2 GB at Q4 | 315 / 656 | | [GeForce RTX 4060](https://whatcanirunai.vercel.app/hardware/rtx-4060/)8 GB VRAM | $299list price (MSRP), [source](https://en.wikipedia.org/wiki/GeForce%5F40%5Fseries), 2026-10-22 | 8 GB[8 GB tier](https://whatcanirunai.vercel.app/best-llm-for/8gb-vram/) | $37 | [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)\~7.2 GB at Q4 | 315 / 656 | | [GeForce RTX 5060](https://whatcanirunai.vercel.app/hardware/rtx-5060/)8 GB VRAM | $299list price (MSRP), [source](https://en.wikipedia.org/wiki/List%5Fof%5FNvidia%5Fgraphics%5Fprocessing%5Funits), 2026-10-28 | 8 GB[8 GB tier](https://whatcanirunai.vercel.app/best-llm-for/8gb-vram/) | $37 | [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)\~7.2 GB at Q4 | 315 / 656 | | [Radeon RX 9060 XT 8GB](https://whatcanirunai.vercel.app/hardware/rx-9060-xt-8gb/)8 GB VRAM | $299list price (MSRP), [source](https://en.wikipedia.org/wiki/List%5Fof%5FAMD%5Fgraphics%5Fprocessing%5Funits), 2026-10-28 | 8 GB[8 GB tier](https://whatcanirunai.vercel.app/best-llm-for/8gb-vram/) | $37 | [NVIDIA-Nemotron-Nano-9B-v2](https://whatcanirunai.vercel.app/models/nvidia-nemotron-nano-9b-v2/)\~7.2 GB at Q4 | 315 / 656 | ## Macs and mini PCs None of the Macs or unified-memory mini PCs we track are priced at or under $300. Prices come from our dated price data; GPUs are at official list price (MSRP), and other rows say what the price is. Street prices vary. Devices without a sourced price are left out. Have a different card? Try the [VRAM calculator](https://whatcanirunai.vercel.app/vram-calculator/) or browse [best LLMs by VRAM size](https://whatcanirunai.vercel.app/best-llm-for/). ## Quick answers What is the best GPU for local AI under $300? Of the GPUs we track, the Intel Arc B580 has the most VRAM at or under $300: 12 GB for $249 (list price, 2026-10-22). It runs 350 of our 656 tracked models at Q4, up to OLMo-2-1124-13B-Instruct. What is the best Mac or mini PC for local AI under $300? None of the Macs or unified-memory mini PCs we track are priced at or under $300; the cheapest is the Mac mini M4 16GB at $789. What is the biggest LLM I can run for under $300? OLMo-2-1124-13B-Instruct (13.7B parameters, \~10.6 GB at Q4) on the Intel Arc B580, which has 12 GB usable. Which device under $300 gives the most memory per dollar? The Intel Arc B580: $249 for 12 GB usable, about $21 per usable GB. Are these prices current? They are dated snapshots from our price data (GPUs at official list price / MSRP), refreshed twice a week. Street prices can be higher or lower; each row links its source and date. ## Other budgets [$500](https://whatcanirunai.vercel.app/best-gpu-under/500/) · [$800](https://whatcanirunai.vercel.app/best-gpu-under/800/) · [$1,000](https://whatcanirunai.vercel.app/best-gpu-under/1000/) · [$1,500](https://whatcanirunai.vercel.app/best-gpu-under/1500/) · [$2,000](https://whatcanirunai.vercel.app/best-gpu-under/2000/) · [$3,500](https://whatcanirunai.vercel.app/best-gpu-under/3500/) [All budgets](https://whatcanirunai.vercel.app/best-gpu-under/) · [Buying guides by model family](https://whatcanirunai.vercel.app/best-gpu-for/) · [GPU vs GPU](https://whatcanirunai.vercel.app/compare/) --- Agent guide: https://whatcanirunai.vercel.app/llms.txt · JSON API: https://whatcanirunai.vercel.app/developers/