Hardware Detail GPUCurrent

Intel Arc Pro B60 24GB

Professional Battlemage GPU with 24GB GDDR6 and support for multi-card workstations. The capacity is attractive, but local AI runtime maturity varies more than on CUDA hardware.

IntelINTEL GPU2025-0624GB VRAM
AI Memory
24GB VRAM
Runtime headroom is estimated.
LLM Score
45
prosumer
Power
155W
Average AI load
Value Score
—
Planner signal

Task Fit

Chat84

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

Code82

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

RAG82

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

Agent79

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

Vision76

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

Image generation76

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

Embedding66

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

Voice62

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

Video generation61

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

Runtime Support

ollamagood
llama.cppgood
LM Studiogood
vllmUnsupported
sglangUnsupported
ComfyUIPartial
diffusersPartial

Specs

CPU cores—
GPU cores—
System RAM—
Unified memory—
VRAM24GB
Usable model memory24GB
CUDANo
MetalNo
ROCmNo

Cost and Ops

Hardware price$799
Build cost$1,000
UPS / accessories$120
5-year estimate$2,288
Expected lifespan5 years
Residual value14%
Build requiredYes

Execution evidence

Execution recipes for Intel Arc Pro B60 24GB

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.

63 compatible defaults

Best For

affordable 24GB workstation VRAMIntel oneAPI workflowsmulti-GPU capacity builds

Professional Battlemage GPU with 24GB GDDR6 and support for multi-card workstations. The capacity is attractive, but local AI runtime maturity varies more than on CUDA hardware.

Source Confidence

Specsvendor-published
Pricemarket-estimate
Powervendor-published
PerformanceEstimated
Updated2026-10-21

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