Hardware Detail GPUCurrent

AMD Radeon AI PRO R9700 32GB

RDNA 4 professional GPU with 32GB ECC-capable GDDR6. It offers more capacity than consumer 16GB cards, but software support should be verified for each runtime and model architecture.

AMDAMD RADEON2025-0732GB VRAM
AI Memory
32GB VRAM
Runtime headroom is estimated.
LLM Score
74
workstation
Power
245W
Average AI load
Value Score
—
Planner signal

Task Fit

Chat88

Strong fit for chat workloads in the current planner.

Code86

Strong fit for code workloads in the current planner.

RAG86

Strong fit for rag workloads in the current planner.

Agent83

Usable for agent, with tradeoffs around speed, memory, or runtime maturity.

Vision78

Usable for vision, with tradeoffs around speed, memory, or runtime maturity.

Image generation78

Usable for image generation, with tradeoffs around speed, memory, or runtime maturity.

Embedding69

Usable for embedding, with tradeoffs around speed, memory, or runtime maturity.

Voice65

Usable for voice, with tradeoffs around speed, memory, or runtime maturity.

Video generation63

Usable for video generation, with tradeoffs around speed, memory, or runtime maturity.

Runtime Support

ollamaPartial
llama.cppgood
LM StudioPartial
vllmPartial
sglangPartial
ComfyUIgood
diffusersPartial

Specs

CPU cores—
GPU cores—
System RAM—
Unified memory—
VRAM32GB
Usable model memory32GB
CUDANo
MetalNo
ROCmSupported

Cost and Ops

Hardware price$1,299
Build cost$1,200
UPS / accessories$150
5-year estimate$3,304
Expected lifespan5 years
Residual value18%
Build requiredYes

Execution evidence

Execution recipes for AMD Radeon AI PRO R9700 32GB

Recipes connect hardware, a model artifact, tools, settings, verification, and a reportable result.

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No verified recipe is linked to this record yet.

Compatibility estimates remain available in the planner. A recipe appears here only after its exact stack and verification protocol are documented.

Models This Hardware Can Run

Estimated from default model artifacts, VRAM, unified memory, and recommended RAM.

66 compatible defaults

Best For

32GB workstation VRAMROCm inferencemulti-GPU workstation builds

RDNA 4 professional GPU with 32GB ECC-capable GDDR6. It offers more capacity than consumer 16GB cards, but software support should be verified for each runtime and model architecture.

Source Confidence

Specsvendor-published
Pricevendor-published
Powervendor-published
PerformanceEstimated
Updated2026-10-21

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