Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Solving multicloud networking challenges to scale businesses with AI

Artificial Intelligence (AI) and its demand for massive computational power have spurred the growth of cloud and edge computing. As AI pilot projects take off and scale, there has been an increasing demand for more flexible and high-performing infrastructure. This has led to the rise of multi-cloud networking as organisations attempt to tap into the best-in-class tools while allowing workloads to be more evenly distributed.

The advantages of a multi-cloud architecture include the ability to seamlessly pull and process data across clouds, data centres, and edge environments, making it a strategic choice for businesses scaling their AI initiatives.

However, while multi-cloud may sound like the best solution on paper, there are many hurdles in actual implementation. According to the 2024 Cloud Computing Study by Foundry, 48% of IT decision-makers cited cost as their biggest challenge for overall cloud adoption. This is not surprising given that AI workloads, particularly in training large models, can quickly inflate cloud spending.

Additionally, network latency poses performance challenges, especially when AI applications rely on real-time data processing. These issues underscore the need for smarter multi-cloud strategies.

Identifying and addressing the multi-cloud roadblocks to AI success

IT teams need to ensure their networks can scale flexibly, reaching bandwidths of up to 100 Gbps to support the high-throughput demands of AI-driven applications.

“Networks should have the capability to activate new connections in minutes to keep pace with dynamic workloads, enable rapid deployment of AI services, and ensure seamless performance across various cloud and edge environments.”

Hon Kit Lam, Vice President, Hybrid Connectivity Services, Tata Communications

While not impossible, these demands come with high egress fees from transferring data between multiple clouds. This is often accompanied by low bandwidth and limited or siloed visibility across clouds. The complexities involved in managing multiple cloud instances also mean there are no performance guarantees, despite the costs.

Leveraging a robust multicloud networking solution

To help address the challenges of multicloud adoption, Tata Communications introduced the IZO™ Multi Cloud Connect, enabling businesses to bridge their cloud connectivity gaps and alleviate the IT department’s burden. 

By simplifying the multi-cloud experience with software-defined multi-cloud connectivity as-a-service, IZO™ Multi Cloud Connect offers instant cloud-to-cloud connectivity for a lower total cost of ownership, higher bandwidth, and on-demand bandwidth upgrades. This means customers can upgrade their bandwidth and pay for the extra cost only when required. Together with the reduction in egress cost, enterprises can save around 50% in their cloud connectivity charges.

Establishing a secure connection from the data centre to the cloud is essential for modern workloads, especially those driven by AI and real-time analytics. With high-throughput bandwidth to handle large volumes of data, low latency to ensure responsive application performance, and on-demand provisioning for dynamic scaling, IZO™ Multi Cloud Connect can remove the bottlenecks and keep operations agile.

It also delivers a fully managed networking solution that combines both the underlay (physical network infrastructure) and overlay (virtual network functions). This integrated approach allows organisations to abstract and automate complex routing, optimise traffic paths, and enforce consistent policies across multi-cloud and hybrid environments. 

Enabling seamless interconnection between clouds

As part of its transformation process, leading specialty chemical company Clariant SE was migrating from on-premises data centres to the cloud and needed a solution to connect its distributed cloud data centres over the internet.

“It required the performance of MPLS VPN, and IZO™ Multi Cloud Connect came through,” explained Lam. “The solution, with virtual router capability, provides a predictable internet connection from Clariant SE’s more than 100 sites to business-critical applications in the cloud.”

As AI adoption continues to empower businesses across industries, the need for scalable, secure, and reliable infrastructure has become a necessity. Organizations that want to remain competitive will have to overcome the barriers to these complex technologies and implement the right tools that are necessary for success. Tata Communications’ IZO™ Multi Cloud Connect is built to address the challenges that come with change, supporting an end-to-end multicloud adoption journey. 

Speak with an expert to learn how IZO™ Multi Cloud Connect can support your multi-cloud infrastructure.


Read More from This Article: Solving multicloud networking challenges to scale businesses with AI
Source: News

Category: NewsJune 26, 2025
Tags: art

Post navigation

PreviousPrevious post:Join our live discussion – CIO Essential Insights: New Thinking about Cloud ComputingNextNext post:Pascual ficha a la CDO de L’Oreal para liderar su estrategia de Tecnología

Related posts

人の可能性を信じ、テクノロジーで未来を設計する──DNP執行役員 情報システム本部長が語るAI・DX戦略の核心
April 27, 2026
Redefining detection engineering and threat hunting with RAIDER
April 27, 2026
AWS cost drift: The operational cause nobody talks about
April 27, 2026
Converged analytics is the refinery for the age of sovereign AI and data
April 27, 2026
Why SaaS companies must become octopuses to survive AI
April 27, 2026
CIOs bring AI transformation home to IT workflows
April 27, 2026
Recent Posts
  • 人の可能性を信じ、テクノロジーで未来を設計する──DNP執行役員 情報システム本部長が語るAI・DX戦略の核心
  • Redefining detection engineering and threat hunting with RAIDER
  • AWS cost drift: The operational cause nobody talks about
  • Converged analytics is the refinery for the age of sovereign AI and data
  • Why SaaS companies must become octopuses to survive AI
Recent Comments
    Archives
    • April 2026
    • March 2026
    • February 2026
    • January 2026
    • December 2025
    • November 2025
    • October 2025
    • September 2025
    • August 2025
    • July 2025
    • June 2025
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.