Crucial Pro 128GB Kit (4x32GB) DDR5-5600 UDIMM

The Crucial Pro 128GB Kit (CP4K32G56C46U5) delivers high-density DDR5 memory across four 32GB Unbuffered DIMMs, operating at 5600 MT/s with a CL46 primary latency rating. Built on the DDR5 architecture, each module integrates on-die ECC (ODECC) for improved data integrity at the silicon level, along with per-module power management through individual PMIC (Power Management Integrated Circuit) components—a structural shift from DDR4 that reduces motherboard power-plane complexity and improves signal stability under sustained multi-core loads.

Designed for Intel and AMD platforms that support DDR5 UDIMM in quad-channel or dual-channel configurations, this kit is positioned for workstations demanding maximum memory capacity within the UDIMM form factor. The 1.1V operating voltage, standard to DDR5, reduces thermal output relative to equivalent DDR4 capacities, which is a practical consideration in thermally constrained chassis. Each 32GB module uses a 288-pin interface and operates in plug-and-play compatibility with XMP 3.0-enabled motherboards for straightforward profile-based configuration.

At 128GB total capacity, this kit addresses workloads where large in-memory datasets are a performance bottleneck rather than a storage or compute constraint. Applications such as 3D rendering, large-scale video compositing, virtual machine hosting, and complex simulation benefit directly from the headroom this kit provides. Crucial Pro modules are manufactured to JEDEC DDR5 standards and validated for broad compatibility across current-generation workstation platforms.

Ideal for

• High-end 3D rendering workstations running scene-heavy projects in software such as Blender, Cinema 4D, or V-Ray where scene geometry and textures must reside fully in system memory
• Video production and compositing rigs processing 4K or 8K multi-layer timelines in DaVinci Resolve or Adobe After Effects, where large frame buffers and preview caches demand substantial DRAM capacity
• On-premises virtual machine hosts running multiple concurrent VMs per workstation node, where per-VM memory allocation requires 128GB of physical headroom
• Scientific and engineering simulation environments executing finite element analysis or computational fluid dynamics workloads that load large model datasets into RAM
• Machine learning data preprocessing workstations managing large feature datasets and in-memory data pipelines prior to GPU-accelerated training
• Software development and build environments supporting large monorepo compilation tasks, containerized development stacks, and parallel test runners that benefit from expanded memory capacity

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.