Best GPU for Local AI General assistant

Written by Jakub Rusinowski · Last updated July 21, 2026

Ranked for a general-purpose local assistant: Everyday questions, drafting, explanation and light analysis — the local replacement for a hosted chat assistant.

Best overall: AMD Radeon RX 7900 XTX

24 GB VRAM at 960 GB/s. It runs 87 of the models that qualify for this workload; the strongest is Gemma 4 27B ⭐ at an estimated 38.3 tokens/sec.

The picks

	GPU	VRAM	MSRP	Models that fit	Best model it runs	Est. speed
Best overall	AMD Radeon RX 7900 XTX	24 GB	$999	87	Gemma 4 27B ⭐	~38.3 tok/s
Best value	Intel Arc B570	10 GB	$219	60	Qwen 3 8B	~46 tok/s
Budget pick	Intel Arc B570	10 GB	$219	60	Qwen 3 8B	~46 tok/s
Most memory	NVIDIA DGX Spark	128 GB	$4,699	98	GPT-oss 120B	~53.3 tok/s

Full ranking for a general-purpose local assistant

GPU	Score	VRAM	MSRP	Models fit	Est. speed	Tok/s per watt	Cost per model
AMD Radeon RX 7900 XTX	75.1	24 GB	$999	87	~38.3	0.11	$11
NVIDIA GeForce RTX 4090	74.9	24 GB	$1,599	87	~40.1	0.09	$18
NVIDIA GeForce RTX 5090	74	32 GB	$1,999	87	~66.6	0.12	$23
NVIDIA GeForce RTX 3090	72.4	24 GB	$1,499	87	~37.4	0.11	$17
AMD Radeon RX 7900 XT	68.7	20 GB	$899	78	~32.4	0.1	$12
AMD Ryzen AI Max+ 395	68.6	96 GB	$1,999	97	~50.4	0.42	$21
NVIDIA DGX Spark	66.1	128 GB	$4,699	98	~53.3	0.36	$48
NVIDIA GeForce RTX 5070 Ti	64.2	16 GB	$749	70	~40.9	0.14	$11
NVIDIA GeForce RTX 5080	62.3	16 GB	$999	70	~43.5	0.12	$14
AMD Radeon RX 9070 XT	58.4	16 GB	$599	70	~33.3	0.15	$9
NVIDIA GeForce RTX 4080 Super	55.5	16 GB	$999	70	~34.2	0.11	$14
AMD Radeon RX 9070	55	16 GB	$549	70	~30	0.14	$8

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.
Balanced capability weighting with reasoning slightly ahead, since a general assistant is judged mostly on whether its answers hold up. Latency carries the highest weight of any workload (0.8): conversational use is the one case where waiting is immediately obvious. Context requirements are modest — most chat turns are short.

FAQ

What is the best GPU for a general-purpose local assistant?

The AMD Radeon RX 7900 XTX — 24 GB of VRAM runs 87 qualifying models, the strongest being Gemma 4 (Legacy Listing — Unverified).

What is the cheapest GPU that works for a general-purpose local assistant?

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

How much VRAM do I need for a general-purpose local assistant?

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 General assistant

The picks

Full ranking for a general-purpose local assistant

How these numbers are calculated

FAQ

What is the best GPU for a general-purpose local assistant?

What is the cheapest GPU that works for a general-purpose local assistant?

How much VRAM do I need for a general-purpose local assistant?

What These GPUs Run

GPU Reviews

Best GPU for Other Workloads

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