Best GPU for Local AI Document analysis

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 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 87 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	87	Gemma 4 31B	~59.4 tok/s
Best value	Intel Arc B580	12 GB	$249	61	Qwen 3 14B	~33 tok/s
Budget pick	Intel Arc B570	10 GB	$219	60	Qwen 3 14B	~27.8 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	98	Qwen3.8-Flash-Next	~35.9 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	87	~59.4	0.1	$23
AMD Radeon RX 7900 XTX	74.1	24 GB	$999	87	~33.9	0.1	$11
NVIDIA GeForce RTX 4090	73.3	24 GB	$1,599	87	~35.5	0.08	$18
NVIDIA GeForce RTX 3090	71.5	24 GB	$1,499	87	~33.1	0.09	$17
NVIDIA RTX 6000 Ada Generation	70	48 GB	$6,799	89	~33.9	0.11	$76
AMD Radeon RX 7900 XT	69.3	20 GB	$899	78	~28.6	0.09	$12
NVIDIA GeForce RTX 5070 Ti	67.9	16 GB	$749	70	~39.9	0.13	$11
NVIDIA L40S	66.2	48 GB	$7,499	89	~30.7	0.09	$84
NVIDIA GeForce RTX 5080	65.9	16 GB	$999	70	~42.5	0.12	$14
NVIDIA DGX Spark	63.4	128 GB	$4,699	98	~35.9	0.24	$48
AMD Radeon RX 9070 XT	62.6	16 GB	$599	70	~32.5	0.15	$9
AMD Radeon RX 9070	59.9	16 GB	$549	70	~29.3	0.13	$8

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 87 qualifying models, the strongest being Gemma 4.

The Intel Arc B570 at $219, which runs 60 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.