Best GPU for Local AI Research

Written by Jakub Rusinowski · Last updated July 21, 2026

Ranked for research and technical reading: Reading papers and technical material, extracting arguments, and comparing sources.

Best overall: NVIDIA GeForce RTX 5090

32 GB VRAM at 1792 GB/s. It runs 74 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	74	Gemma 4 31B	~59.4 tok/s
Best value	AMD Radeon RX 7900 XT	20 GB	$899	63	Gemma 4 31B	~28.6 tok/s
Budget pick	Intel Arc B570	10 GB	$219	49	Qwen 3 14B	~27.8 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	87	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	74	~59.4	0.1	$27
AMD Radeon RX 7900 XTX	74.1	24 GB	$999	74	~33.9	0.1	$14
NVIDIA GeForce RTX 4090	73.4	24 GB	$1,599	74	~35.5	0.08	$22
NVIDIA GeForce RTX 3090	71.6	24 GB	$1,499	74	~33.1	0.09	$20
NVIDIA RTX 6000 Ada Generation	70	48 GB	$6,799	79	~33.9	0.11	$86
AMD Radeon RX 7900 XT	69.4	20 GB	$899	63	~28.6	0.09	$14
NVIDIA L40S	66.3	48 GB	$7,499	79	~30.7	0.09	$95
Intel Arc B580	52.5	12 GB	$249	50	~33	0.17	$5
Intel Arc B570	50.1	10 GB	$219	49	~27.8	0.19	$4
AMD Radeon RX 7800 XT	49.8	16 GB	$499	57	~43.9	0.17	$9
AMD Radeon RX 9070	49.7	16 GB	$549	57	~44.9	0.2	$10
NVIDIA GeForce RTX 5070	49.2	12 GB	$549	50	~46.9	0.19	$11

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.
Reasoning-led (70%) with a 32K context floor, because a single paper with references routinely exceeds 30K tokens. Latency is down-weighted to 0.3 — research reading is not interactive in the way chat is.

The NVIDIA GeForce RTX 5090 — 32 GB of VRAM runs 74 qualifying models, the strongest being Gemma 4.

The Intel Arc B570 at $219, which runs 49 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.