Best GPU for Local AI Summarization

Written by Jakub Rusinowski · Last updated July 21, 2026

Ranked for summarization: Condensing long inputs — transcripts, threads, reports — into accurate short output.

Best overall: NVIDIA GeForce RTX 5090

32 GB VRAM at 1792 GB/s. It runs 79 of the models that qualify for this workload; the strongest is Gemma 4 31B at an estimated 59.4 tokens/sec.

The picks

GPUVRAMMSRPModels that fitBest model it runsEst. speed
Best overallNVIDIA GeForce RTX 509032 GB$1,99979Gemma 4 31B~59.4 tok/s
Best valueAMD Radeon RX 7900 XT20 GB$89969Gemma 4 31B~28.6 tok/s
Budget pickIntel Arc B57010 GB$21956Qwen 3.5 14B~29.1 tok/s
Most memoryNVIDIA DGX Spark128 GB$4,69992Qwen 3.5 122B-A10B~25.8 tok/s

Full ranking for summarization

GPUScoreVRAMMSRPModels fitEst. speedTok/s per wattCost per model
NVIDIA GeForce RTX 509077.432 GB$1,99979~59.40.1$25
AMD Radeon RX 7900 XTX73.324 GB$99979~33.90.1$13
NVIDIA GeForce RTX 40907324 GB$1,59979~35.50.08$20
NVIDIA GeForce RTX 309070.824 GB$1,49979~33.10.09$19
AMD Radeon RX 7900 XT67.720 GB$89969~28.60.09$13
NVIDIA GeForce RTX 506049.58 GB$29946~49.50.34$7
NVIDIA GeForce RTX 5060 Ti 8GB45.18 GB$37946~49.50.28$8
Intel Arc B58044.912 GB$24957~34.50.18$4
AMD Radeon RX 9060 XT 8GB44.78 GB$29946~36.50.24$7
AMD Ryzen AI Max+ 39542.496 GB$1,99992~24.30.2$22
NVIDIA DGX Spark42.2128 GB$4,69992~25.80.17$51
AMD Radeon RX 7800 XT41.516 GB$49964~45.90.17$8

How these numbers are calculated

FAQ

What is the best GPU for summarization?

The NVIDIA GeForce RTX 5090 — 32 GB of VRAM runs 79 qualifying models, the strongest being Gemma 4.

What is the cheapest GPU that works for summarization?

The Intel Arc B570 at $219, which runs 56 qualifying models.

How much VRAM do I need for summarization?

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.

What These GPUs Run

GPU Reviews

Best GPU for Other Workloads

Next Steps

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