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Overview

Cloud has evolved from being just another infrastructure option to acritical execution venue for emerging technologies. Organisations must operationalise their cloud strategyby addressing key elements such as migration, management, security, compliance requirements,network, data, and procurement plans to maximise value from their cloud investments. Enterpriseleadership needs to be aware of the pain points involved and develop a holistic cloud strategy that tackleschallenges related to cloud adoption and overcomes roadblocks in complex hybrid multi-cloudenvironments. Here are some important questions leaders and cloud practitioners commonly face.

How We Can Help Enterprises Thrive

Simplify your Hybrid Multi Cloud Journey with Unified Cloud Experience approach

Hybrid multi-cloud environments offer compellingoperational and cost advantages, but enterprises must find the right controls anddeployment model to yield ROI.

  • Understand if your business has the right cloud strategy or not
  • Gain insights if the cloud strategy is in alignment with the larger business needs
  • Approach to augment the cloud implementation plan with larger cloud strategy
  • Understand when to decide your cloud implementation worked – do you need to exit
  • Ensuring a Unified Cloud Experience across your IT estate

Take control of your IT estate with Tata Communications Vayu Cloud-IaaS

Maximise the value of your cloud with a transparent and predictable environment that offers enterprise-class flexibility, scalability and security to meet today’s business needs.

  • Tailored cloud plan crafted on business requirements
  • Gain improved performance, agility and resource efficiency
  • Witness capex deferment and opex reduction
  • Secured by design, from the cloud to the edge
  • Resilient IT backed by tier-1 secured global connectivity
  • Compliant IT environment adhering to privacy and localisation laws
  • End-to-end managed services for the Cloud workloads

Resources to support your IoT journey

AI ML workload: Optimising compute for machine learning and AI tasks

Knowledge Base

AI ML workload: Optimising compute for machine learning and AI tasks

AI data centre: Powering next-gen computing with NVIDIA platforms

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AI data centre: Powering next-gen computing with NVIDIA platforms

GPU storage: Unlocking NVIDIA GPU direct storage for high-speed compute

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GPU storage: Unlocking NVIDIA GPU direct storage for high-speed compute

On-Demand GPU: Unlocking NVIDIA’s flexible compute for enterprise workloads

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On-Demand GPU: Unlocking NVIDIA’s flexible compute for enterprise workloads

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