Результаты поиска:RAMO

Die RAFI-Tasterbaureihe RAMO können Sie dank Plug&Play-M12-Stecker spielend leicht in Ihre Anwendung integrieren.

The Broadcom® BCM88790 is the fifth generation in the StrataDNX™ product line of Fabric Element (FE) devices, and is a self-routing cell-based switching element. Together with the BCM88690, the BCM88790 provides a complete solution for switching fabric, traffic management, packet processing, and network interfaces. Switching platforms can scale up to 24,000 100GbE ports or 6,000 400GbE ports. The BCM88790 provides scalability in three dimensions: port rates, port count, and traffic management services, allowing the user to connect mixed-rate line cards, for example 100 Gbps through 9.6 Tbps each, with various traffic management schemes. The BCM88790 is used to build a variety of network switch solutions: • Over 460 Tbps core/edge switches with singlestage fabric for data center, packet transport, or carrier network applications. • Multiple interconnected chassis of different capacities, using the BCM88790 two-stage fabric to create a scalable core platform that delivers up to 6,000 ports of 400GbE

The Broadcom® BCM88920 is the sixth generation in the StrataDNX™ product line of Fabric Element (FE) devices, and is a self-routing cell-based switching element. Together with the BCM88860 / BCM88890, the BCM88920 provides a complete solution for switching fabric, traffic management, packet processing, and network interfaces. Switching platforms can scale up to 50,000 400GbE ports or 25,000 800GbE ports. The BCM88920 provides scalability in three dimensions: port rates, port count, and traffic management services, allowing the user to connect mixed-rate line cards, for example 4.8 Tbps through 30.4 Tbps each, with various traffic management schemes. The BCM88920 is used to build a variety of network switch solutions: Over 3.6Pbps core/edge switches with single-stage fabric for data center, packet transport, AI/ML clusters, or carrier network applications Multiple interconnected chassis of different capacities, using the BCM88920 two-stage fabric to create a scalable core platform that delivers up to 25,000 ports of 800GbE AI/ML training clusters with unique communication patterns which require specific network optimizations to minimize job completion time (JCT)