Best GPU for local LLMs in 2026
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The best GPU for local LLMs in 2026 holds your model in fast memory and runs your tools. Up to 32B, a 24 GB or 32 GB NVIDIA GPU is the simple choice. For 70B and larger, 128 GB of unified memory holds more.
Olares One → Local LLM hardware → VRAM · quantization · tokens per second → The right machine for your model size
Which is the best GPU for local LLMs in 2026?
The best GPU for local LLMs in 2026 is the one whose memory holds your model with room for context, on a software stack your tools support. Memory size decides what loads. Memory bandwidth caps tokens per second. CUDA decides whether vLLM and most research code run without porting work.
Power and size come next. A card that needs a large tower and a big power supply is a different purchase from a small box on a shelf.
How do the GPUs compare on memory and price?
The GPUs and chips in our data run from a 1,999 USD desktop card to a 6,950 USD DGX Spark, with prices read on 12 Nov 2026. Only the NVIDIA parts run CUDA. Only the unified-memory chips hold more than 32 GB, and Apple's M5 Ultra reaches up to 512 GB in its largest configuration.
| GPU | Memory for models | CUDA | Where you get it |
|---|---|---|---|
| RTX 5090 desktop | 32 GB GDDR7, 512-bit | Yes | Card only, 1,999 USD, plus a PC |
| RTX 3090 (used) | 24 GB GDDR6X, 936 GB/s | Yes | Used tower build, about 3,800 USD (guide estimate) |
| RTX 5090 Mobile | 24 GB GDDR7 | Yes | Olares One, 4,999 USD complete |
| NVIDIA GB10 | 128 GB unified, 273 GB/s (DGX Spark) | Yes | DGX Spark 6,950 USD, ASUS Ascent GX10 5,999 USD |
| Apple M5 Max | 36 GB base, up to 128 GB; 460 GB/s on the base chip | No | Mac Studio from 2,499 USD |
| Apple M5 Ultra | 96 GB base, up to 512 GB; 1.2 TB/s | No | Mac Studio from 5,499 USD |
| AMD Radeon 8060S | 128 GB shared, GPU share lower | No | Ryzen AI Max+ 395 mini PCs, 3,449 to 4,199 USD |
Should you buy a desktop card, a used card or a complete box?
Buy the desktop RTX 5090 if you want the most memory on a single consumer card and already own a big PC. NVIDIA lists 32 GB on a 512-bit bus and up to 575 W of graphics power. A used RTX 3090 is the cheapest 24 GB CUDA route. A complete box trades some headroom for a ready, quiet server.
The 3090 is an older card, bought used, and the tower around it draws roughly 515 W at full load by the build guide's estimate. The RTX 5090 Mobile in Olares One has 24 GB of GDDR7 and a max TGP of 175 W, inside a 2.15 kg box that ships with server software. Olares states 19 dB at idle.
When is a 24 GB GPU the wrong choice?
A 24 GB GPU is the wrong choice for a dense 70B or anything above 120B, because no 24 GB or 32 GB card holds those. Below that line, we recommend a 24 GB NVIDIA GPU, and Olares One in particular when several people share the models. A single user who needs 70B should buy differently.
The reason for the pick is speed under load. In Olares' own test, Olares One served Qwen3-30B-A3B at about 81 tokens per second per request with 8 concurrent requests on vLLM. For larger models, read hardware for a 70B model and unified memory or VRAM. To size memory first, see how much VRAM you need.
Questions & answers
Is the RTX 5090 Mobile as fast as the desktop RTX 5090?
No. The mobile chip in Olares One has 24 GB and a max TGP of 175 W, while NVIDIA lists 32 GB and up to 575 W for the desktop card. We have no like-for-like LLM test of the two that meets our sourcing rules.
Are AMD GPUs good for local LLMs?
The Ryzen AI Max+ 395 boxes offer 128 GB of shared memory for 3,449 to 4,199 USD, which suits large models. They have no CUDA, so vLLM and many NVIDIA-first tools need extra work or don't run.
Sources for this entry
- NVIDIA GeForce RTX 5090 (desktop card): maker's page (Maker-published)
- Used RTX 3090 tower build: maker's page (Maker-published)
- Olares One: maker's page (Maker-published)
- NVIDIA DGX Spark: maker's page (Maker-published)
- ASUS Ascent GX10: maker's page (Maker-published)
- Apple Mac Studio (M5 Max): maker's page (Maker-published)
- Framework Desktop (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Olares One product page (Company-published)
- Olares blog: local AI hardware benchmarking (Oct 2025) (Company-published)
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Cite this entry
Best Local LLM Hardware. “Best GPU for local LLMs in 2026.” Content reviewed 13 November 2026.
https://bestlocalllmhardware.com/best-gpu-for-local-llm/