The new architecture, anchored by the T7 silicon, integrates networking, storage, and compute acceleration into a unified data path. The platform supports both iWARP and RoCEv2 for ultra-low latency communication, a critical requirement for GPU-to-GPU data movement in modern AI workloads. By offloading complex protocol tasks—including NVMe/TCP, iSCSI, and TLS/IPsec—the company intends to eliminate I/O bottlenecks while maintaining software compatibility with its legacy T4 through T6 product lines.
Kianoosh Naghshineh, CEO of Chelsio Communications, characterized the launch as a pivot toward making Ethernet a primary driver for large-scale AI infrastructure. The company is positioning the hardware to offer the cost and flexibility benefits of open networking without sacrificing the performance headroom required for real-time inference. While the SmartNICs and storage controllers are available for immediate deployment, the T7 DPUs are currently shipping as evaluation units, with full production slated for December 2026.




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