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Samsung CXL 512GB | CXL 2.0 Memory Module for Server Expansion

Your Server Has 32 DIMM Slots. All Populated. Memory Utilization at 94 Percent. The Cluster Needs More RAM, Not More Servers.Every VMware admin knows this moment. The cluster shows 94 percent memory utilization. The budget meeting is in three days. The options are grim: buy another $40,000 server, throttle VM density, or let performance degrade. The Samsung 512GB CXL Memory Module adds a fourth option: plug a PCIe 5.0 card into an empty slot, and the hypervisor sees 512 GB of additional system memory — byte-addressable, NUMA-aware, and managed by the same memory controller that handles DDR5.Technical SpecificationsParameterSpecificationCapacity512 GB (also: 256 GB variant)ProtocolCXL 2.0 (Type 3 memory expander), backward-compatible with CXL 1.1Host InterfacePCIe 5.0 x8 (or x16, configurable)Memory TechnologySamsung 1a-class…

  • Product Details

Your Server Has 32 DIMM Slots. All Populated. Memory Utilization at 94 Percent. The Cluster Needs More RAM, Not More Servers.

Every VMware admin knows this moment. The cluster shows 94 percent memory utilization. The budget meeting is in three days. The options are grim: buy another $40,000 server, throttle VM density, or let performance degrade. The Samsung 512GB CXL Memory Module adds a fourth option: plug a PCIe 5.0 card into an empty slot, and the hypervisor sees 512 GB of additional system memory — byte-addressable, NUMA-aware, and managed by the same memory controller that handles DDR5.

Technical Specifications

Parameter Specification
Capacity 512 GB (also: 256 GB variant)
Protocol CXL 2.0 (Type 3 memory expander), backward-compatible with CXL 1.1
Host Interface PCIe 5.0 x8 (or x16, configurable)
Memory Technology Samsung 1a-class DDR5 DRAM (high-density, not NAND — true DRAM latency profile)
Latency (CXL 2.0, local NUMA node) ~250-300 ns (vs ~90 ns for socket-local DDR5, vs ~140 ns for remote-socket DDR5 on dual-socket)
Bandwidth ~32 GB/s (PCIe 5.0 x8) to ~64 GB/s (x16)
Form Factor PCIe full-height, half-length (FHHL) add-in card
Power ~25W typical, ~40W max
ECC On-module ECC (Samsung in-module error correction, independent of host ECC)
RAS Features Memory sparing, memory mirroring (module-level), patrol scrub, demand scrub
Hot-Plug Not supported. Memory capacity changes require reboot.
NUMA Exposed as a separate NUMA node to the OS. OS memory manager balances allocations.
OS Support RHEL 9.2+ (kernel 5.14+ CXL subsystem), SLES 15 SP5+, Ubuntu 24.04 LTS, VMware ESXi 8.0 U2+ (CXL memory tiering in preview)
Compatible CPUs Intel Xeon 4th Gen (CXL 1.1), Xeon 6 (CXL 2.0), AMD EPYC 9005 (CXL 2.0)
Compatible Servers Dell R660, R760, R770, R7715, R860, R960, xFusion 2288H V7, 2488H V7, 5885H V7 (CXL BIOS enabled)
Physical Standard PCIe FHHL card, 168 x 111 mm
Warranty 3-year (with server)

CXL Memory vs Adding DIMMs — The Expansion Math

Scenario Add DDR5 DIMMs Add CXL Modules Winner
Server has empty DIMM slots 16x 64 GB DDR5 = 1 TB added. Cost: ~$8,000. No PCIe slots consumed. 2x 512 GB CXL = 1 TB added. Cost: ~$5,000. 2 PCIe slots consumed. DDR5 (cheaper per GB, no PCIe penalty)
Server DIMM slots are FULL Impossible without replacing server. 2x 512 GB CXL = 1 TB added. Cost: ~$5,000. CXL (only option)
Need > 8 TB total on a 2-socket server Impossible. 32 DIMM slots x 256 GB = 8 TB ceiling. 8 TB DDR5 + 2 TB CXL = 10 TB total on a dual-socket server. CXL breaks the 8 TB ceiling

When CXL Memory Makes Sense

  • VMware clusters at memory saturation. Add CXL modules to existing hosts instead of buying more hosts. 512 GB of CXL memory per host x 10 hosts = 5 TB of additional cluster memory at roughly 60% of the cost of adding two new servers.
  • In-memory databases that outgrew the DIMM ceiling. Redis, Memcached, SAP HANA, and Oracle In-Memory that need >8 TB on a dual-socket server. CXL is the only path beyond the 32-DIMM ceiling without moving to a 4-socket R860.
  • AI inference with large context windows. LLM inference with 100K+ token context windows consumes VRAM for the model weights and system RAM for the KV cache. CXL memory provides a cost-effective expansion tier for KV cache overflow.

When CXL Memory Does Not Make Sense

  • If you have empty DIMM slots. Populate them first. DDR5 is faster and cheaper per gigabyte.
  • If your workload is latency-sensitive at the nanosecond level. CXL adds 150-200 ns of latency vs socket-local DDR5. For high-frequency trading, real-time control systems, and OLTP with strict latency SLAs, native DDR5 is the only option.
  • If your OS or hypervisor does not support CXL memory tiering. VMware ESXi 8.0 U2 supports CXL memory in preview (not GA). RHEL 9.2+ supports it GA. Check your hypervisor version before ordering.

Source Through Xincuan

We supply Samsung CXL modules pre-installed in Dell and xFusion servers with CXL BIOS enabled. Factory-direct pricing, 3-year warranty, and free CXL memory planning consultation.

Request a CXL memory configured server quote

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