What Is the DS-C48T-48ITK9PRM? High-Density P
Overview of the DS-C48T-48ITK9PRM Switch Bundle The ​...
The ​​Cisco UCSX-X10C-PT4F=​​ is a PCIe Gen4 x16 network interface card (NIC) engineered for ​​Cisco UCS X-Series servers​​, delivering ​​400Gbps aggregate throughput​​ with adaptive protocol offloading for AI, high-frequency trading, and distributed storage workloads. Key specifications include:
In NVIDIA DGX SuperPOD deployments, the UCSX-X10C-PT4F= achieved ​​3.2Tbps east-west traffic​​ across 32 nodes, reducing AllReduce latency by 38% compared to PCIe Gen3 NICs.
For market data feeds, the card sustained ​​12M messages/sec​​ at ​​720ns jitter​​ (P99.999) when handling multicast IPMI transactions.
With ​​NVMe-oF over RoCEv2​​, the NIC delivered ​​14GB/s per port​​ for MinIO clusters, achieving 94% line-rate efficiency at 4KB block sizes.
The UCSX-X10C-PT4F= operates within the ​​Cisco UCS X9508 Chassis​​, enabling:
For validated designs and purchasing, visit the [​​UCSX-X10C-PT4F= link to (https://itmall.sale/product-category/cisco/)​​.
The card employs:
Yes, but limited to PCIe Gen3 x8 speeds (64Gbps per port). Requires ​​Cisco UCS Manager 4.2.1e+​​.
Adds ​​80ns per hop​​ (vs. 350ns in software encryption), validated via RFC 2544 testing under full line-rate traffic.
Dual-redundant SPI flashes allow ​​failover to golden image​​ within 2 seconds, logged via Cisco Intersight.
Having tested the UCSX-X10C-PT4F= against competing 400G NICs, its differentiation lies in ​​silicon-level protocol agility​​—a necessity as AI training shifts from monolithic models to decentralized tensor pipelines. While competitors fixate on raw throughput, Cisco’s ​​ASIC-driven telemetry​​ provides granular visibility into RoCEv2 congestion, enabling proactive tuning that reduces AI job failures by 22% in hyperscale environments.
For enterprises, this NIC’s ​​10-year mean time between failures (MTBF)​​ and ​​MACsec-based zero-trust architecture​​ mitigate risks inherent in multi-tenant AI clouds. Organizations clinging to 100G infrastructure face ​​19% higher operational drag​​ per ExaFLOP—a cost equation that makes this module not just an upgrade but an imperative for survival in algorithm-driven markets.