Best GPU for Local AI RAG

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026

Ranked for retrieval-augmented generation over your own documents: Answering from a private document set: the model reads retrieved passages and must stay faithful to them.

Best overall: NVIDIA GeForce RTX 5090

32 GB VRAM at 1792 GB/s. It runs 80 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	80	Gemma 4 31B	~59.4 tok/s
Best value	AMD Radeon RX 7900 XT	20 GB	$899	71	Gemma 4 31B	~28.6 tok/s
Budget pick	Intel Arc B570	10 GB	$219	54	Qwen 3 14B	~27.8 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	91	Llama 4 Scout 17B	~17.8 tok/s

Full ranking for retrieval-augmented generation over your own documents

GPU	Score	VRAM	MSRP	Models fit	Est. speed	Tok/s per watt	Cost per model
NVIDIA GeForce RTX 5090	77	32 GB	$1,999	80	~59.4	0.1	$25
AMD Radeon RX 7900 XTX	72.4	24 GB	$999	80	~33.9	0.1	$12
NVIDIA GeForce RTX 4090	72.1	24 GB	$1,599	80	~35.5	0.08	$20
NVIDIA GeForce RTX 3090	69.6	24 GB	$1,499	80	~33.1	0.09	$19
NVIDIA RTX 6000 Ada Generation	68.3	48 GB	$6,799	83	~33.9	0.11	$82
AMD Radeon RX 7900 XT	66.1	20 GB	$899	71	~28.6	0.09	$13
NVIDIA L40S	63.5	48 GB	$7,499	83	~30.7	0.09	$90
NVIDIA GeForce RTX 5060	49	8 GB	$299	45	~49.5	0.34	$7
Intel Arc B580	47.1	12 GB	$249	55	~33	0.17	$5
AMD Radeon RX 7800 XT	46.4	16 GB	$499	64	~43.9	0.17	$8
AMD Radeon RX 9070	46.3	16 GB	$549	64	~44.9	0.2	$9
NVIDIA GeForce RTX 5070	45.8	12 GB	$549	55	~46.9	0.19	$10

How these numbers are calculated

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.
Context is the binding constraint, so the floor is the highest of any text workload (32K) and full marks need 256K. Reasoning carries the capability weight because RAG failures are almost always synthesis failures, not retrieval failures. Licence importance is raised to 0.6 — RAG is overwhelmingly deployed on private or commercial corpora.

FAQ

What is the best GPU for retrieval-augmented generation over your own documents?

The NVIDIA GeForce RTX 5090 — 32 GB of VRAM runs 80 qualifying models, the strongest being Gemma 4.

What is the cheapest GPU that works for retrieval-augmented generation over your own documents?

The Intel Arc B570 at $219, which runs 54 qualifying models.

How much VRAM do I need for retrieval-augmented generation over your own documents?

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.

Best GPU for Local AI RAG

The picks

Full ranking for retrieval-augmented generation over your own documents

How these numbers are calculated

FAQ

What is the best GPU for retrieval-augmented generation over your own documents?

What is the cheapest GPU that works for retrieval-augmented generation over your own documents?

How much VRAM do I need for retrieval-augmented generation over your own documents?

What These GPUs Run

GPU Reviews

Best GPU for Other Workloads

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