Hardware Detail AI PCCurrent

AMD Ryzen AI Halo PRO 495 192GB

AMD developer platform with 192GB unified memory and up to 160GB assignable to graphics. Its unusually large shared pool is valuable for model capacity, while runtime support still needs workload-specific verification.

AMDAMD AI PC2026-10192GB unified

AI Memory

192GB unified

Usable model memory reserves headroom for OS, runtime, and KV cache.

LLM Score

workstation

Power

92W

Average AI load

Value Score

—

Planner signal

Task Fit

Chat95

Strong fit for chat workloads in the current planner.

Code93

Strong fit for code workloads in the current planner.

RAG93

Strong fit for rag workloads in the current planner.

Agent90

Strong fit for agent workloads in the current planner.

Vision85

Strong fit for vision workloads in the current planner.

Embedding74

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

Voice70

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

Image generation53

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

Video generation40

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

Runtime Support

ollamaPartial

llama.cppgood

LM StudioPartial

vllmPartial

sglangPartial

ComfyUIPartial

diffusersPartial

Specs

CPU cores16

GPU cores40

System RAM192GB

Unified memory192GB

VRAM—

Usable model memory144GB

CUDANo

MetalNo

ROCmSupported

Cost and Ops

Hardware price$3,499

Build cost—

UPS / accessories—

5-year estimate$3,620

Expected lifespan— years

Residual value—

Build requiredNo

Execution evidence

Execution recipes for AMD Ryzen AI Halo PRO 495 192GB

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

Browse all recipes →

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.

70 compatible defaults

DeepSeek-R1-Distill 70B

Compatible

DeepSeek · Q4_K_M

80GB recommended

DeepSeek-R1-Distill 32B

DeepSeek · Q4_K_M

Microsoft · Q4_K_M

Z.ai · Q4_K_M

Gemma 4 31B It QAT W4a16 Ct

Compatible

Google · Q4_0

32GB recommended

Gemma 4 12B It QAT W4a16 Ct

Compatible

Google · Q4_0

16GB recommended

Gemma 4 E4B It QAT Q4 0 GGUF

Google · Q4_0

Black Forest Labs · FP16

128GB recommended

FLUX.2 Klein 9B

Compatible

Black Forest Labs · FP16

48GB recommended

Best For

high-memory local inferenceROCm developmentcompact AI workstation

Source Confidence

Specsvendor-published

Pricemarket-estimate

Powervendor-published

PerformanceEstimated

Updated2026-10-21

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