Best GPU for Local AI Agents

作者: Jakub Rusinowski · 最后更新: 2026年7月21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: AMD Radeon RX 7900 XTX

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

The picks

GPUVRAMMSRPModels that fitBest model it runsEst. speed
Best overallAMD Radeon RX 7900 XTX24 GB$99924Ternary Bonsai 27B~38.3 tok/s
Best valueIntel Arc B57010 GB$2197GLM-6 9B~42.7 tok/s
Budget pickIntel Arc B57010 GB$2197GLM-6 9B~42.7 tok/s
Most memoryNVIDIA DGX Spark128 GB$4,69930Devstral-2 123B~2.7 tok/s

Full ranking for autonomous agents and tool use

GPUScoreVRAMMSRPModels fitEst. speedTok/s per wattCost per model
AMD Radeon RX 7900 XTX74.724 GB$99924~38.30.11$42
NVIDIA GeForce RTX 409073.724 GB$1,59924~40.10.09$67
NVIDIA GeForce RTX 5070 Ti72.916 GB$74912~39.90.13$62
NVIDIA GeForce RTX 509072.732 GB$1,99924~66.60.12$83
NVIDIA GeForce RTX 309072.224 GB$1,49924~37.40.11$62
NVIDIA GeForce RTX 508070.816 GB$99912~42.50.12$83
NVIDIA RTX 6000 Ada Generation70.648 GB$6,79924~38.30.13$283
AMD Radeon RX 7900 XT70.520 GB$89917~32.40.1$53
AMD Radeon RX 9070 XT6916 GB$59912~32.50.15$50
NVIDIA L40S67.248 GB$7,49924~34.80.1$312
AMD Radeon RX 907066.916 GB$54912~29.30.13$46
AMD Radeon RX 7800 XT66.816 GB$49912~28.60.11$42

How these numbers are calculated

FAQ

What is the best GPU for autonomous agents and tool use?

The AMD Radeon RX 7900 XTX — 24 GB of VRAM runs 24 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 7 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

Best GPU for Other Workloads

Next Steps

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