Build 402 – Symphony: AI Development Workstation

Symphony is an AI development workstation, designed around a 24-core Core Ultra 9 285K processor and an RTX Pro 4500 Blackwell 32GB video card.

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2026 Build Archive

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  • Please note that we are unable to provide extended user-specific software support, you will need to be able to troubleshoot.
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AI Development Workstation

Description

Symphony is an AI development workstation, designed around a 24-core Core Ultra 9 285K processor and an RTX Pro 4500 Blackwell 32GB video card.

General System Design

This build is designed around a 24-core Core Ultra 9 285K processor and an RTX Pro 4500 Blackwell 32GB video card.

Software Workload/Customer Need

This customer needed a powerful new workstation that would last a long time.

This build was designed for software development, AI development with LLMs and local image/video models, video editing, audio editing, image editing, and general productivity.

The customer wanted a system with robust Thunderbolt support, and several USB-C ports.

This workstation is similar to our Core Ultra 9 AI Inference 32B Workstation.

System Spec

Processor (CPU): Intel Core Ultra 9 285K

CPU Cooler: be quiet! Silent Loop 3 360

Motherboard: Asus ProArt Z890-CREATOR WIFI

Memory: Crucial Pro 2x32GB DDR​5-6000

OS Storage (NVME): Western Digital Black SN850X 4TB

Main Storage (NVME): Western Digital Black SN850X 4TB

Backup Storage (HDD): Western Digital Gold 20TB

Video Card (GPU): Nvidia RTX Pro 4500 Blackwell 32GB

Power Supply (PSU): be quiet! Straight Power 12 1500W

Case: Fractal Design Meshify 2 Black

OS: Windows 11 Pro

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Design Rationale

  • The Core Ultra 9 285K gives the customer a great amount of single-core performance for editing and modeling, and multicore performance for heavily-threaded tasks. It also gives them better Thunderbolt support.
  • To ensure the CPU runs at full speed, liquid cooling with a 360mm liquid cooler is recommended.
  • The customer wanted a stable motherboard with a good amount of desktop functionality and robust Thunderbolt support.
  • The customer requested 64GB of memory.
  • The customer requested dual 4TB Gen4 NVME drives, and a 20TB HDD for bulk storage.
  • The customer requested a GPU with at least 32GB VRAM for their AI development. After debating an RTX 5090, they chose a model with lower power draw and lower cost.
  • We recommended a 1500W power supply based on the overall build, this gives them room to upgrade quite a bit.
  • We used our larger mid-tower case to fit the build.

Customer Review

Build Gallery

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