Cisco HyperFlex

Data Services for Machine Learning
EMA Top 3 award-winning products enable data scientists, data engineers, DevOps teams, application operators, and developers to rapidly provision, manage, scale, move, and terminate compute and storage resources in a reliable, secure, and cost effective manner.
 
The ability of a platform to share critical infrastructure resources like GPU, TPU, CPU, RAM, and storage, between teams and projects enables organizations to squeeze the most value out of these resources and therefore constitutes a crucial requirement for EMA Top 3 products.
 
To ensure optimal compliance, performance, and security, EMA Top 3 products need to support the policy-driven placement and management of data science workloads across data center infrastructure, multi-cloud
 
EMA Top 3 award winners in the End-to-End Machine Learning Infrastructure category need to enable current staff to use their existing development and operations tools and infrastructure in the most impactful manner. This must enable each persona to focus on its individual set of key tasks without having to learn new tools, languages, or understanding the inner works of Kubernetes.

Why Cisco HyperFlex Received the EMA Top 3 Award

Cisco HyperFlex enables organizations to centrally deploy and manage hyperconverged infrastructure build- ing blocks optimized for different sets of machine learning requirements. Cisco Intersight’s cloud-based management service provides the unified backbone for lifecycle management, compliance, automation, and observability across all HyperFlex appliances across the organization. HyperFlex and Intersight are the foun- dation for implementing one unified operating model for traditional enterprise applications, cloud-native apps, and machine learning models. Hyperflex supports sharing of GPU acceleration and can be ordered with hardware and software that are preconfigured for machine learning development, model training, and inference. This enables organizations to deploy and operate fully consistent machine learning stacks across data center, public cloud, and edge locations, typically based on the Kubernetes container orchestration platform. The fact that Cisco offers a suite of higher-level building blocks for observability (AppDynamics), resource optimization (Cisco Intersight Workload Optimizer), and hybrid cloud management (Cisco CloudCenter) makes HyperFlex a clear choice for the EMA Top 3 award in the “End-to-End Machine Learning Infrastructure” category. 

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Website: Cisco HyperFlex

Business Impact

• Enhances productivity of data scientists and data engineers through consistent data access and machine learning stacks.
• Lowers OPEX through unified operating model and cloud-based management plane.
• Continuous compliance across workloads and locations. 
• Optimization of cost and performance through workload portability across data center, public cloud, and edge.
• Fast and easy deployment and scalability by existing staff.