Best GPU for Local AI Research

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 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 85 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	85	Gemma 4 31B	~59.4 tok/s
Best value	AMD Radeon RX 9070 XT	16 GB	$599	67	Devstral Small 2 24B	~32.5 tok/s
Budget pick	Intel Arc B570	10 GB	$219	57	Qwen 3 14B	~27.8 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	96	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	85	~59.4	0.1	$24
AMD Radeon RX 7900 XTX	74.1	24 GB	$999	85	~33.9	0.1	$12
NVIDIA GeForce RTX 4090	73.3	24 GB	$1,599	85	~35.5	0.08	$19
NVIDIA GeForce RTX 3090	71.5	24 GB	$1,499	85	~33.1	0.09	$18
NVIDIA RTX 6000 Ada Generation	70	48 GB	$6,799	87	~33.9	0.11	$78
AMD Radeon RX 7900 XT	69.3	20 GB	$899	76	~28.6	0.09	$12
NVIDIA L40S	66.2	48 GB	$7,499	87	~30.7	0.09	$86
NVIDIA DGX Spark	63.2	128 GB	$4,699	96	~35.9	0.24	$49
NVIDIA GeForce RTX 5070 Ti	61.7	16 GB	$749	67	~39.9	0.13	$11
NVIDIA GeForce RTX 5080	59.7	16 GB	$999	67	~42.5	0.12	$15
AMD Radeon RX 9070 XT	56.4	16 GB	$599	67	~32.5	0.15	$9
AMD Radeon RX 9070	53.6	16 GB	$549	67	~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.
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 85 qualifying models, the strongest being Gemma 4.

The Intel Arc B570 at $219, which runs 57 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.