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Everspin Demonstrates CXL-Connected MRAM Persistent Memory
Everspin demonstrated CXL-connected MRAM with memory semantics for persistent cache, buffering and AI checkpoint or KV-cache workloads.
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Everspin has a working CXL-connected MRAM system
Everspin Technologies demonstrated a Compute Express Link-connected MRAM platform at SNIA Developer Conference 2026. The system exposes non-volatile PERSYST MRAM through CXL with memory semantics, positioning it as a persistent tier between conventional DRAM and NAND-based storage rather than as a replacement for either one.
The September 29 demonstration is more concrete than a roadmap announcement: Everspin says the platform is working and ready for customers to test with their own workloads. The company demonstrated read and write access through the CXL interface, but it has not announced a retail PC product, broad commercial deployment, capacity roadmap or price for the CXL platform.
| Area | Demonstrated or stated | Boundary |
|---|---|---|
| Connection | MRAM exposed through a CXL controller with memory semantics | A demonstration platform, not a shipping consumer memory module |
| Persistence | MRAM retains data through power interruption or restart | Does not make MRAM equivalent to DRAM capacity or NAND economics |
| Access | Everspin describes cache-line-level, nanosecond-class access | Vendor characterization; no independent Core Tech Tips benchmark |
| Writes | Everspin claims writes up to 100x faster than NAND-based SSD storage | Vendor claim without a universal workload-independent comparison |
| AI use cases | Checkpointing and persistent KV cache are named opportunities | Application-level gains still require workload testing |
The demo combines AMD EPYC, an FPGA CXL controller and 1GB MRAM UDIMMs
Everspin's demonstration used a Supermicro AS-1116CS-TN server with an AMD EPYC 9355 32-core processor. An AMD Alveo U250 FPGA platform carried a Wolley CXL controller, while the persistent-memory side used Everspin PERSYST 1GB DDR4 MRAM UDIMMs.
That composition matters because this is not a drop-in consumer DDR5 DIMM demonstration. CXL provides the coherent connectivity layer, the FPGA/controller bridges the memory into that environment, and the MRAM modules provide non-volatile storage with RAM-like access characteristics. The prototype therefore demonstrates an architecture and interoperability path rather than a finished mainstream memory product.
Persistence is the main difference from ordinary DRAM
Conventional system DRAM loses its contents when power is removed. Everspin's MRAM retains data, so the company is targeting workloads where keeping frequently updated state close to compute can avoid first flushing that state to NAND storage. Everspin specifically points to persistent buffering, caching, metadata, AI checkpointing and persistent key-value cache as possible uses.
Everspin says the platform provides cache-line-level, nanosecond-class access and writes up to 100 times faster than NAND-based solid-state storage. Those are manufacturer claims from the demonstration announcement, not independent measurements by Core Tech Tips. They also do not establish that every workload would see a 100x application-level speedup.
Why CXL makes the demonstration more interesting than MRAM alone
MRAM persistence is not new by itself. The significance of this demonstration is the use of CXL as a standards-based path for making persistent MRAM available to modern compute platforms with memory semantics. Everspin says the architecture can also support pooling and sharing memory resources across hosts, allowing capacity to be assigned where workloads need it.
The next useful evidence will come from customer workload testing rather than another peak specification. Capacity, controller overhead, read and write behavior, endurance, software integration, power, cost and application-level performance will determine where a persistent MRAM tier is actually competitive with DRAM plus NAND-based storage.
Sources
Primary and technical sources
These sources support the reporting and analysis above. Current stories are updated when later evidence materially changes the facts.
01 Everspin Technologies
Everspin Demonstrates CXL-Connected MRAM at SNIA Developer Conference 202602 Everspin Technologies
Everspin and MaxLinear Collaborate on Memory Efficiency in AI Servers
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