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Overview

Enterprises need to harness the power of AI for business excellence. A semi-automated and badly designed AI-based solution may lead to business disruption and losses.

Infosys Infrastructure for AI delivers a powerful AI stack for enterprises to build a unified AI service/application with Infosys services delivering assessment, advisory, design, implementation, adoption, scale, and management.

Infosys Infrastructure for AI provides a scalable, flexible, and efficient AI platform/AI stack built across multiple layers from infrastructure to end services. The platform is vendor-agnostic and capable of delivering a combination of services and solutions with reliability, availability, scalability, performance, and efficiency.

  • End-to-end Automation and Scalability
  • Vendor-agnostic
  • Multicloud management
  • Unified AI experience
  • Robustness and security
  • Flexible scaling up
  • Ease of deployment and management

Empowering enterprise growth with full-stack AI-driven automation

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End-to-end solution

End-to-end solution: Design, build, monitor, and manage the AI platform with reliability, availability, scalability, performance, and efficiency

Scalable solutions

Scalable solutions: Leverage service plans that adapt to the evolving data needs of your enterprise, assuring data protection as the business grows

Extensible framework

Extensible framework: Extend your existing private cloud solution using the Infosys Cobalt framework

Full automation

Full automation: Take advantage of multicloud builder hub, telemetry platform, and automated operation hub with Infosys PolyCloud integration

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Challenges & Solutions

Infosys Infrastructure for AI provides a comprehensive AI solution tailored to workload type, data residency, compute intensity, storage needs, sustainability, performance, and specific use cases.

Automate and manage the AI stack end-to-end including administration, orchestration, build automation, service catalog, lifecycle management, and more

Utilize flexible T-shirt size offerings to scale the AI platform seamlessly, without architecture changes or business disruption

Implement AI-augmented hybrid cloud with tools that enhance discovery with minimal inputs, and deploy faster using AI models that efficiently cover build-test-migrate scenarios