Cisco Implementing Cisco Data Center AI Infrastructure (DCAI) (300-640)

What does workload distribution offer in an AI infrastructure with local and external resources?

An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?

Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application: policy managed through cloud-based interface low latency between specific pairs of GPUs at least 2 GPUs per server all GPUs should be same model

Intel CPU -

well suited for Inferencing

customer is power conscious

Which server meets the requirements?

A company deploys a Cisco UCS environment to host AI inferencing workloads that demand low latency, high throughput, and efficient resource utilization. Which set of actions must be taken to deploy a high-performance fabric within the Cisco UCS infrastructure?

An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:

Support 256 GPU servers with RDMA connectivity.

Prevent any packet loss that causes RDMA connection failures.

Maintain consistent low-latency communication with a target of less than 10 microseconds.

Use industry-standard protocols and configurations.

Which configuration ensures that RoCEv2 operates as a lossless transport?

An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node. Which hybrid AI compute solution meets the requirements?

A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity. Which solution best meets the requirements?

A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system. Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?

A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are: high availability of the chassis management plane. support for up to 768 GB of memory for in-memory model storage and processing remote server launch requiring no on-site IT staff use of Cisco Intersight for SaaS-based infrastructure lifecycle management

Which solution meets the requirements?

Which set of statements describes Quantized Congestion Notification?