AI Workloads Accelerated with Cisco UCS X-Sequence, Nvidia GPUs, and Cloudera CDP


I’m turning over Authoring of this weblog to Samuel Nagalingam, Product Supervisor & Hardik Patel, Technical Advertising and marketing Engineer, to speak about GPU accelerated huge knowledge on UCS X-Sequence.


Enterprises throughout all industries are recognizing the true potential of AI/ML. Knowledge scientists are using massive knowledge units, implementing use instances equivalent to remodeling provide chain fashions, responding to elevated ranges of fraud, predicting buyer churn, and creating new product strains, to say a number of key use instances. The worldwide synthetic intelligence software program market dimension valued at USD $53B in 2021, is projected to develop exponentially within the coming years to succeed in USD $850B by 2030, rising at a CAGR of 41% from 2022 to 2030.

In accordance with the analysis report by Tractica, over 330 AI use instances throughout 28 industries will contribute to the market development with vital alternatives in automotive, shopper, healthcare, banking and monetary, telecommunications, schooling, and retail and eCommerce sectors.

To deal with these multi-variate use instances, you want a platform with excessive efficiency, that may scale, is safe and simple to handle. In response, Cisco, Cloudera, and Nvidia have partnered to ship hybrid and/or non-public cloud answer that meets all of the above necessities. The structure has the Cloudera Knowledge Platform (CDP) software program operating on Cisco Knowledge Intelligence Platform (CDIP) with Nvidia GPUs.

The Large Knowledge structure has advanced from a monolithic cluster of storage and compute to desegregated elements of storage and compute.

  • Knowledge Lake (storage): The CDP Personal Cloud Base software program operating on UCS X-Sequence Servers or Cisco UCS M6 Rack Servers present storage and helps conventional knowledge lake environments with Apache Ozone, the subsequent gen file system for knowledge lake.
  • Compute Farm (analytics / AI): The CDP Personal Cloud Knowledge Providers software program operating on Cisco UCS X-Sequence servers helps analytics and AI/ML workloads.
Cisco Data Intelligence Platform diagram
Cisco Knowledge Intelligence Platform Diagram


The compute farm for Analytics/AI has CDP Personal Cloud Knowledge Providers deployed on Pink Hat OpenShift Container platform or Cloudera Embedded Container Service, operating on UCS X-Sequence, a future prepared, modular system that meets the wants of recent cloud native purposes and is managed by Cisco Intersight.

Compute, GPUs & 100G Finish-to Finish Connectivity

The modularity of X-Sequence makes it straightforward so as to add or improve particular person parts like CPUs or GPUs.

The UCS X-Sequence X9508 Chassis with 8 slots, accommodates the UCS X210c Compute Node with third era Intel Xeon Scalable processors and the UCS X440p PCIe Node that helps Nvidia GPUs – A16, A40, A100 & T4. The UCS X210c Compute Node along with UCS X440p PCIe Node might be paired to kind a dual-wide node server with GPUs. You possibly can additional improve the GPU density per server by including two GPUs to the X210c Compute Node.

  • GPU with parallelization and acceleration can present greater than ~ 10X quicker knowledge analytics and machine studying at a decrease price.

Immediately, solely Cisco UCS X-Sequence helps 100Gbps end-to-end in a modular server kind issue.

  • Greater bandwidth additional will increase the AI/ML workloads efficiency.

CDIP in motion

Within the video, now we have an instance of certainly one of Cloudera CDP Knowledge Providers, Cloudera Machine Studying, which with its distributed GPU scheduling and coaching for mannequin deployment, permits quicker processing and extraction of insightful enterprise analytics.


Cisco had developed Cisco Validated Designs for this structure that can cowl a broad vary of workloads. They supply steering on deploying options at buyer web site with minimal danger with 24/7 assist choices.


The Cisco Knowledge Intelligence Platform with Cloudera Knowledge Platform (CDP) operating on UCS X-Sequence with Nvidia GPUs and 100G end-to-end connectivity has large computing energy, quicker acceleration, and huge bandwidth wanted to handle the multitude of cloud native AI/ML workloads that clients are operating.







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