Multi-cloud architecture is the practice of distributing workloads and applications across multiple cloud providers. This approach allows organisations to leverage the strengths and capabilities of different cloud platforms, mitigating the risks associated with vendor lock-in, and increasing flexibility and scalability. While it brings vendor diversity by utilising multiple cloud providers, organisations are exposed to the risk of service disruptions when managing complex environments.
Most organisations still opt for it, as choosing the right product and platform improves performance in a geographically distributed cloud infrastructure of each provider. Also, it can lead to cost optimisation by choosing the right workload management with proper allocation of resources.
Navigating the multi-cloud landscape for Al
In the AI era, businesses are turning to
Flexibility: Access a wider range of services and features tailored to specific AI tasks multiple cloud providers to gain:
calability: Efficiently handle uctuating workloads, from massive raining jobs to real-time inferences
Cost optimisation: Choose the most cost-effective solutions for different needs
Availability: Minimise downtime and maximise data security by distributing it across regions and providers
However, managing multicloud environments introduces new challenges.
Complexity: Coordinating configurations, deployments, and operations across diverse platforms
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