Check out AI and Cloud Data Center Networking videos here: https://ngi.fyi/aidcnet23yt
AI is making a transformative impact on data center architecture. Yet developers know that applications must flow seamlessly from core to edge. How can these forces be resolved? Sanjay Kumar, VP of Products and Marketing from Arrcus, explains:
- How Arrcus’ solutions optimize and maximize the utilization of GPUs in data centers, minimizing latency and loss in running AI/ML workloads. They offer two architectures: traditional IP CLOS leaf and spine, and a distributed architecture for massive scale,
- The role of FlexMCN, a network fabric overlay, in stitching together workloads from the edge through the core and into multicloud or public cloud environments. This robust, secure, and flexible solution allows network operators to run workloads wherever they reside and deliver applications wherever they’re required.
- The introduction of an innovative technology, SRv6 mobile user plane, developed in collaboration with SoftBank Mobile. This technology simplifies the delivery of network slicing, lowers the total cost of ownership, and helps network operators monetize their infrastructure.
Additionally, Arrcus’ ArcIQ solution provides end-to-end network visibility, streaming real-time telemetry from the underlying infrastructure to give operators a comprehensive view of their network.
Join Sanjay as he takes you through Arrcus’ vision for a distributed AI and 5G world, and how their solutions are helping network operators deliver on this vision.
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