Best GPU for Local AI Agents
作者： Jakub Rusinowski · 最后更新： 2026年10月7日
Ranked for autonomous agents and tool use: Multi-step autonomous loops where the model calls tools, reads results and decides what to do next.
Best overall: Intel Arc B570
10 GB VRAM at 380 GB/s. It runs 15 of the models that qualify for this workload; the strongest is Ternary Bonsai 27B at an estimated 16 tokens/sec.
The picks
| GPU | VRAM | MSRP | Models that fit | Best model it runs | Est. speed | |
|---|---|---|---|---|---|---|
| Best overall | Intel Arc B570 | 10 GB | $219 | 15 | Ternary Bonsai 27B | ~16 tok/s |
| Best value | Intel Arc B570 | 10 GB | $219 | 15 | Ternary Bonsai 27B | ~16 tok/s |
| Budget pick | Intel Arc B570 | 10 GB | $219 | 15 | Ternary Bonsai 27B | ~16 tok/s |
| Most memory | NVIDIA DGX Spark | 128 GB | $4,699 | 45 | Devstral-2 123B | ~2.7 tok/s |
Full ranking for autonomous agents and tool use
| GPU | Score | VRAM | MSRP | Models fit | Est. speed | Tok/s per watt | Cost per model |
|---|---|---|---|---|---|---|---|
| Intel Arc B570 | 67.1 | 10 GB | $219 | 15 | ~16 | 0.11 | $15 |
| Intel Arc B580 | 66.9 | 12 GB | $249 | 16 | ~19.1 | 0.1 | $16 |
| NVIDIA GeForce RTX 3080 Ti | 66.8 | 12 GB | $1,199 | 16 | ~36.6 | 0.1 | $75 |
| NVIDIA GeForce RTX 3080 (10GB) | 64.6 | 10 GB | $699 | 15 | ~30.9 | 0.1 | $47 |
| NVIDIA GeForce RTX 5060 | 64.4 | 8 GB | $299 | 13 | ~18.7 | 0.13 | $23 |
| NVIDIA GeForce RTX 5070 | 64 | 12 GB | $549 | 16 | ~27.5 | 0.11 | $34 |
| NVIDIA GeForce RTX 5050 | 62.5 | 8 GB | $249 | 13 | ~13.5 | 0.1 | $19 |
| AMD Radeon RX 7900 XT | 61.2 | 20 GB | $899 | 28 | ~137.4 | 0.44 | $32 |
| NVIDIA GeForce RTX 5070 Ti | 60.8 | 16 GB | $749 | 20 | ~40.3 | 0.13 | $37 |
| NVIDIA GeForce RTX 3070 Ti | 60.8 | 8 GB | $599 | 13 | ~25.1 | 0.09 | $46 |
| NVIDIA GeForce RTX 5060 Ti 8GB | 60.5 | 8 GB | $379 | 13 | ~18.7 | 0.1 | $29 |
| NVIDIA GeForce RTX 3060 Ti | 59.6 | 8 GB | $399 | 13 | ~18.7 | 0.09 | $31 |
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.
- Reliable structured tool calls are a hard gate here, not a bonus: a model with no tool-use tag is excluded regardless of score. Coding weight is high (40%) because tool arguments are effectively code. Context needs match RAG — an agent loop accumulates every observation it has ever seen.
FAQ
What is the best GPU for autonomous agents and tool use?
The Intel Arc B570 — 10 GB of VRAM runs 15 qualifying models, the strongest being Bonsai 27B.
What is the cheapest GPU that works for autonomous agents and tool use?
The Intel Arc B570 at $219, which runs 15 qualifying models.
How much VRAM do I need for autonomous agents and tool use?
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
- Intel Arc B570 review
- Intel Arc B580 review
- NVIDIA GeForce RTX 3080 Ti review
- NVIDIA GeForce RTX 3080 (10GB) review