AMD Radeon AI PRO R9700 — Local LLM Performance & Compatibility

Written by Jakub Rusinowski · Last updated September 19, 2026

AMD's 32 GB workstation card: the same Navi 48 die as the RX 9070 XT with double the memory, 640 GB/s, 300 W and four DisplayPort 2.1 outputs. Two of them give 64 GB for well under the price of one 96 GB NVIDIA card. ROCm support is the thing to check before buying.

Technical Specifications

VRAM32 GB
Memory Bandwidth640 GB/s
TDP300 W
ArchitectureRDNA 4 Navi 48
Release Year2025
MSRP at Launch$1,299
Inference Speed (Llama 3.1 8B Q4_K_M)42–87 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)Does not fit — needs ~44 GB of 32 GB usable
Buy This HardwareApple Mac mini M4 (16GB) — 32 GB VRAM · 22 W board powerDeploy in the Cloud NowNVIDIA A40 on RunPod — from $0.44/hr · rate checked 2026-08

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LLMs Compatible with 32 GB VRAM

All models below run comfortably in 32 GB VRAM with Q4_K_M quantization.

Command R FamilyCommand R (35B) · 22 GB VRAM · Q4_K_M · ollama run command-r
Qwen 3.5Qwen 3.5 35B-A3B · 22 GB VRAM · Q4_K_M · ollama run qwen3.5:35b-a3b
Qwen 3.6Qwen 3.6 35B-A3B · 22 GB VRAM · Q4_K_M · ollama run qwen3.6:35b-a3b
Nex-N2Nex-N2 mini · 22 GB VRAM · Q4_K_M · nex-n2
Yi 1.5 FamilyYi 1.5 34B Chat · 22 GB VRAM · Q4_K_M · ollama run yi:34b
Qwen 3Qwen 3 32B · 21 GB VRAM · Q4_K_M · ollama run qwen3:32b
Aya ExpanseAya Expanse 32B · 20 GB VRAM · Q4_K_M · ollama run aya-expanse:32b
DeepSeek R1DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b

56 more families also fit 32 GB — browse the full model library.

Best Use Cases

FAQ

Can the AMD Radeon AI PRO R9700 run local LLMs?

Yes — the AMD Radeon AI PRO R9700 has 32 GB VRAM and runs AMD's 32 GB workstation card: the same Navi 48 die as the RX 9070 XT with double the memory, 640 GB/s, 300 W and four Di

How fast is the AMD Radeon AI PRO R9700 for AI inference?

The AMD Radeon AI PRO R9700 is estimated to run Llama 3.1 8B at 42–87 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 32 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 32 GB VRAM?

With 32 GB you can run: Command R Family, Qwen 3.5, Qwen 3.6, Nex-N2, Yi 1.5 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.

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