Best GPU for Local AI Summarization
Written by Jakub Rusinowski · Last updated October 7, 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 142 of the models that qualify for this workload; the strongest is Gemma 4 31B at an estimated 57.6 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 | 142 | Gemma 4 31B | ~57.6 tok/s |
| Best value | AMD Radeon RX 7900 XT | 20 GB | $899 | 129 | Gemma 4 31B | ~27.7 tok/s |
| Budget pick | Intel Arc B570 | 10 GB | $219 | 103 | Qwen 3.5 14B | ~29.1 tok/s |
| Most memory | NVIDIA DGX Spark | 128 GB | $4,699 | 159 | Qwen 3.5 122B-A10B | ~25.8 tok/s |
Full ranking for summarization
| GPU | Score | VRAM | MSRP | Models fit | Est. speed | Tok/s per watt | Cost per model |
|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5090 | 78.2 | 32 GB | $1,999 | 142 | ~57.6 | 0.1 | $14 |
| AMD Radeon RX 7900 XTX | 73.4 | 24 GB | $999 | 142 | ~32.8 | 0.09 | $7 |
| NVIDIA GeForce RTX 4090 | 73 | 24 GB | $1,599 | 142 | ~34.4 | 0.08 | $11 |
| NVIDIA GeForce RTX 3090 Ti | 72.4 | 24 GB | $1,999 | 142 | ~34.4 | 0.08 | $14 |
| NVIDIA GeForce RTX 3090 | 71.1 | 24 GB | $1,499 | 142 | ~32.1 | 0.09 | $11 |
| AMD Radeon RX 7900 XT | 68.5 | 20 GB | $899 | 129 | ~27.7 | 0.09 | $7 |
| Intel Arc Pro B70 | 61.7 | 32 GB | $949 | 142 | ~21.4 | 0.1 | $7 |
| AMD Radeon AI PRO R9700 | 61 | 32 GB | $1,299 | 142 | ~22.4 | 0.07 | $9 |
| Intel Arc B580 | 45.3 | 12 GB | $249 | 104 | ~34.5 | 0.18 | $2 |
| NVIDIA DGX Spark | 43.8 | 128 GB | $4,699 | 159 | ~25.8 | 0.17 | $30 |
| NVIDIA RTX 6000 Ada Generation | 43.7 | 48 GB | $6,799 | 146 | ~15.6 | 0.05 | $47 |
| Intel Arc B570 | 42.3 | 10 GB | $219 | 103 | ~29.1 | 0.19 | $2 |
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.
- Reasoning-led but with a real creative weight (35%), because a summary is judged on readability as well as coverage. The low quality floor (45) reflects that summarization is the workload small models handle best relative to their size.
FAQ
What is the best GPU for summarization?
The NVIDIA GeForce RTX 5090 — 32 GB of VRAM runs 142 qualifying models, the strongest being Gemma 4.
What is the cheapest GPU that works for summarization?
The Intel Arc B570 at $219, which runs 103 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
- Best models for the NVIDIA GeForce RTX 5090
- Best models for the AMD Radeon RX 7900 XT
- Best models for the Intel Arc B570
- Best models for the NVIDIA DGX Spark
GPU Reviews
- NVIDIA GeForce RTX 5090 review
- AMD Radeon RX 7900 XTX review
- NVIDIA GeForce RTX 4090 review
- NVIDIA GeForce RTX 3090 Ti review