Hardware Detail GPUCurrent

AMD Radeon RX 9070 XT 16GB

AMD Radeon RX 9070 XT 16GB profile for local AI model planning.

AMDAMD RADEON2025-0316GB VRAM

AI Memory

16GB VRAM

Runtime headroom is estimated.

LLM Score

prosumer

Power

230W

Average AI load

Value Score

7.6

Planner signal

Task Fit

Chat80

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

Code78

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

RAG78

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

Agent75

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

Vision74

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

Image generation74

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

Embedding62

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

Video generation59

Not a primary fit for video generation in the current hardware pool.

Voice59

Not a primary fit for voice in the current hardware pool.

Runtime Support

ollamaPartial

llama.cppgood

LM StudioPartial

vllmPartial

sglangPartial

ComfyUIgood

diffusersPartial

Specs

CPU cores—

GPU cores—

System RAM—

Unified memory—

VRAM16GB

Usable model memory16GB

CUDANo

MetalNo

ROCmSupported

Cost and Ops

Hardware price$599

Build cost$950

UPS / accessories$200

5-year estimate$2,355

Expected lifespan6 years

Residual value18%

Build requiredYes

Models This Hardware Can Run

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

38 compatible defaults

DeepSeek-R1-Distill 32B

DeepSeek · Q4_K_M

Microsoft · Q4_K_M

Z.ai · Q4_K_M

MiniMax · FP8

Gemma 4 31B It QAT W4a16 Ct

Compatible

Google · Q4_0

32GB recommended

Gemma 4 12B It QAT W4a16 Ct

Tight

Google · Q4_0

16GB recommended

Gemma 4 E4B It QAT Q4 0 GGUF

Google · Q4_0

Black Forest Labs · FP16

Alibaba · FP16

Best For

AMD value GPUgaming + local AILinux ROCm users

AMD Radeon RX 9070 XT 16GB profile for local AI model planning.

Source Confidence

SpecsEstimated

PriceEstimated

PowerEstimated

PerformanceEstimated

Updated2026-06-18

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