Integral (IN4T32GRFPUX1K2) 2 x 32 GB, 64GB DDR4 2933MHz ECC RDIMM RAM

When a server runs out of memory, applications slow down, users wait longer, and critical tasks can fail. This problem hurts productivity and can cost money in lost time. Adding more RAM is the quickest way to fix the bottleneck. The Integral (IN4T32GRFPUX1K2) 2 x 32 GB, 64GB DDR4 2933MHz ECC RDIMM RAM gives you a clear, reliable upgrade that restores speed and stability.

Integral (IN4T32GRFPUX1K2) 2 x 32 GB, 64GB DDR4 2933MHz ECC RDIMM RAM with Integral

Need a fast, error-free server? This kit delivers 64 GB of DDR4 ECC memory in two 32 GB modules. It is built for servers that run databases, virtual machines, or heavy web traffic. If your system feels sluggish or you get memory errors, this Integral memory solves the issue by providing more capacity and built-in error correction.

Usages

The RAM works in any 2-slot or 4-slot server that supports 2933 MHz ECC RDIMM. Use it to power database servers that need reliable data integrity. Deploy it in virtualization hosts to run more virtual machines without swapping. Install it in web servers to handle high traffic spikes. It also fits business-intelligence appliances that process large data sets.

Benefits

• More memory lets applications run faster and smoother.
• ECC protection catches errors before they cause crashes.
• 64 GB capacity supports multiple workloads on one server.
• 2933 MHz speed matches modern CPUs for optimal performance.
• Easy installation saves time and reduces downtime.

Key Features

• 2 32 GB modules, total 64 GB.
• DDR4 technology, 2933 MHz clock speed.
• ECC (Error-Correcting Code) enabled.
• Registered (buffered) DIMM for server stability.
• 1.2 V low-power operation.
• CAS latency 21 for balanced speed.
• 288-pin form factor fits standard server slots.
• Compatible with PC and server platforms.
• Designed for high-density memory layouts.
• Compact dimensions: 31.2 mm height, 133.3 mm width.
• Reliable brand Integral quality assurance.
• Supports heavy database and virtualization workloads.

Specifications