Super Micro Unveils First‑to‑Market CMX Context‑Memory Storage Server

SMCI
March 17, 2026

Super Micro Computer announced the launch of its CMX context‑memory storage server, the first industry product built on NVIDIA’s STX reference architecture. The server is engineered to address long‑lived AI queries and multi‑stage chain‑of‑thought workloads by delivering a high‑bandwidth, low‑latency key‑value cache that reduces the need to recompute results and cuts power consumption.

The CMX platform integrates NVIDIA’s BlueField‑4 DPU, Vera CPU, ConnectX‑9 SuperNIC, Spectrum‑X Ethernet, and Dynamo orchestration. Together, these components create a fully integrated storage tier that can be deployed alongside Super Micro’s GPU‑accelerated AI systems, extending GPU token storage and accelerating inference performance while lowering operational costs for AI factories that require persistent context data.

By adding the CMX server to its product line, Super Micro expands its AI infrastructure portfolio beyond existing GPU platforms and Data Center Building Block Solutions. The first‑to‑market status and close alignment with NVIDIA’s reference architecture signal the company’s continued focus on engineering‑driven innovation and position it to capture new revenue from customers seeking end‑to‑end AI data‑center solutions.

Charles Liang, president and CEO of Super Micro, said, “Super Micro continues to be first to market with new rack‑scale architectures designed to exceed the needs of a rapidly evolving AI Factory customer base.” He added, “Building upon last year’s introduction of the Petascale JBOF (Just a Bunch of Flash), where we proved the feasibility of a JBOF powered by NVIDIA BlueField‑3 DPUs, we have developed the CMX storage server. Our prototype of the latest storage architecture demonstrates the level of our collaboration with NVIDIA, and our commitment to be first‑to‑market with game‑changing technologies.”

The launch coincides with NVIDIA’s GTC 2026 conference, underscoring the strategic partnership between the two companies and highlighting the growing demand for specialized AI storage solutions in high‑density data‑center environments.

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