Industry-first Six-channel CXL 3.2 Memory Expanders, Supporting Up to 9TB DDR4 or 6TB DDR5

Marvell Unveils second-generation Structera X, which are industry-first Six-channel CXL 3.2 Memory Expanders for AI Inference. 

Modern AI inference workloads, from LLM serving to deep learning recommendation models (DLRM), are memory bound. KV-cache capacity directly determines time to first token (TTFT), throughput, and XPU utilization. Structera X 3406/3506 addresses these bottlenecks with:

Industry-first six-channel CXL memory expansion: Six DDR4/DDR5 memory channels deliver 50% more channels than the previous generation, increasing memory bandwidth and capacity so AI servers can sustain larger models and longer context windows - up to 18 DDR4 RDIMM slots supporting 9TB for Structera X 3406 and 12 DDR5 RDIMM slots supporting 6TB for Structera X 3506.

Industry-first four host connectivity: Enables memory capacity sharing with up to four hosts and up to 256GB/s PCIe6.0 x16 of host bandwidth, improving memory utilization and efficiency across AI clusters.

5x higher LZ4 compression throughput from previous generation: Up to 250GB/s compression/decompression throughput unlocks up to 2–3x more effective memory capacity, depending on workloads.

StructGuard enterprise-grade RAS: Provides advanced error correction to enhance memory reliability and resilience against DRAM device failures.

Industry-first post-quantum security: Combines post-quantum cryptography, Caliptra 2.0, CXL IDE and AES-256 memory encryption to provide advanced data protection.

For DLRM workloads, Structera X delivers up to 2x higher queries per second and 2–3x more effective embedding-table capacity per controller. For LLM serving, Structera X delivers up to 40–50% faster TTFT at equivalent context length, or up to 2x longer supportable context windows at equivalent latency compared to the previous generation.

In addition, Marvell Structera X 3406 and Structera X 3506 CXL memory expansion controllers are expected to sample in Q1 2027.