Best GPU for Local AI Document analysis

Written by Jakub Rusinowski · Last updated July 21, 2026

Ranked for document analysis and extraction: Pulling structured facts, tables and clauses out of long documents such as contracts and reports.

Best overall: NVIDIA GeForce RTX 5090

32 GB VRAM at 1792 GB/s. It runs 78 of the models that qualify for this workload; the strongest is Gemma 4 31B at an estimated 59.4 tokens/sec.

The picks

	GPU	VRAM	MSRP	Models that fit	Best model it runs	Est. speed
Best overall	NVIDIA GeForce RTX 5090	32 GB	$1,999	78	Gemma 4 31B	~59.4 tok/s
Best value	Intel Arc B580	12 GB	$249	56	Qwen 3 14B	~33 tok/s
Budget pick	Intel Arc B570	10 GB	$219	55	Qwen 3 14B	~27.8 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	91	Gemma 4 31B	~10.2 tok/s

GPU	Score	VRAM	MSRP	Models fit	Est. speed	Tok/s per watt	Cost per model
NVIDIA GeForce RTX 5090	76.9	32 GB	$1,999	78	~59.4	0.1	$26
AMD Radeon RX 7900 XTX	74.1	24 GB	$999	78	~33.9	0.1	$13
NVIDIA GeForce RTX 4090	73.4	24 GB	$1,599	78	~35.5	0.08	$21
NVIDIA GeForce RTX 3090	71.5	24 GB	$1,499	78	~33.1	0.09	$19
NVIDIA RTX 6000 Ada Generation	70	48 GB	$6,799	83	~33.9	0.11	$82
AMD Radeon RX 7900 XT	69.3	20 GB	$899	68	~28.6	0.09	$13
NVIDIA L40S	66.2	48 GB	$7,499	83	~30.7	0.09	$90
Intel Arc B580	55.5	12 GB	$249	56	~33	0.17	$4
Intel Arc B570	53.1	10 GB	$219	55	~27.8	0.19	$4
AMD Radeon RX 7800 XT	52.8	16 GB	$499	63	~43.9	0.17	$8
AMD Radeon RX 9070	52.6	16 GB	$549	63	~44.9	0.2	$9
NVIDIA GeForce RTX 5070	52.2	12 GB	$549	56	~46.9	0.19	$10

GPUs are scored on four axes: capability (45%), speed (30%), value (20%) and efficiency (5%), each normalised across the whole ranking.
Capability means the intrinsic strength of the best model the card can hold — not how many models fit, and not how fast it streams a small one.
Speed is capped at 40 tok/s: past that, more throughput does not change how the model feels to use.
Apple Silicon is excluded from this ranking. Those entries price a whole computer and rate a chip's package power, so on price-per-capability and performance-per-watt they would beat every add-in card by construction. Apple hardware is covered on the macOS platform page instead.
Same context profile as RAG but with a higher coding weight (20%), since extraction almost always ends in structured output — JSON, a table, or a schema the model must not break. Licence importance is 0.6: the documents are usually commercial.

The NVIDIA GeForce RTX 5090 — 32 GB of VRAM runs 78 qualifying models, the strongest being Gemma 4.

The Intel Arc B570 at $219, which runs 55 qualifying models.

8 GB is the entry point at which a model for this workload will run at all. More memory buys a stronger model, not just a faster one.