logo
Kyndryl Introduces AI Private Cloud Services

Kyndryl Introduces AI Private Cloud Services

Kyndryl has introduced a suite of AI private cloud services and consulting expertise designed to deliver a seamless, end-to-end experience for enterprise-grade AI solutions – from design and rapid development to full operation.
Kyndryl's AI Private Cloud services encompass broad consulting services that will enable customers to design, plan and launch a successful AI project. The services include identification of high-ROI industry use cases to support the design and build of AI prototypes, confirming production readiness and moving customers to a production environment.
To accelerate customer adoption and implementation of AI Private Cloud services, Kyndryl offers cloud deployment options tailored to specific models and use cases. Kyndryl Consult will advise customers on the deployment option that best aligns with their AI strategies and business goals.
The new AI Private Cloud services build on Kyndryl's ongoing collaboration with NVIDIA and other ecosystem partners to establish AI private cloud capabilities around the globe, including the recently established dedicated AI Private Cloud in Japan using the Dell AI Factory with NVIDIA.
'Customers want a reliable, secure and simpler approach to creating and implementing AI and generative AI workloads on the cloud, while meeting their performance requirements – from LLM training on public cloud to inference on a private AI,' said Nicolas Sekkaki, Global Cloud Practice Leader, Kyndryl. 'Our AI Private Cloud capabilities expand our portfolio of services that can support applications and solutions running across private and public environments and will deliver enhanced efficiency, reduced costs and time to market, improved productivity, and better user experience that customers expect.'
Kyndryl's AI Private Cloud environment includes services and capabilities around containerization, data science tools and microservices to deploy and manage AI applications on the private cloud. These tools facilitate development, testing and deployment of AI models, enabling a cohesive and integrated AI environment.
The versatile Kyndryl AI Private Cloud can be applied to a range of customer use cases and generative AI opportunities emerging across industries, such as in: Financial services to enhance data security, risk management, and customer experience, enabling institutions to gain insights, detect fraud and automate processes within a security and compliance-rich environment.
to enhance data security, risk management, and customer experience, enabling institutions to gain insights, detect fraud and automate processes within a security and compliance-rich environment. Healthcare to facilitate secure handling of sensitive patient data while leveraging AI capabilities to improve diagnostics, personalized treatment and operational efficiency.
to facilitate secure handling of sensitive patient data while leveraging AI capabilities to improve diagnostics, personalized treatment and operational efficiency. Technology, Media and Telecommunications to empower virtual assistants, network performance optimization and synthetic network data generation.
to empower virtual assistants, network performance optimization and synthetic network data generation. Manufacturing to enable predictive maintenance, digital twins and quality control.
Customers adopting the AI private cloud environment will benefit from Kyndryl's decades of experience managing, running and transforming mission-critical applications and systems. By leveraging the technology and capabilities of its global alliance partner ecosystem, including NVIDIA's AI Enterprise software platform, Kyndryl can enable successful development, implementation and use of enterprise-grade AI solutions.
Kyndryl's new AI Private Cloud services include AI data foundations and MLOps/LLMOps services, enabling customers to efficiently manage their AI data pipelines and machine learning operations. Kyndryl also supports a unified enterprise-grade approach for accelerated AI development. This integration opens the door to possibilities in inference, where a trained model uses its learned patterns to make predictions or solve tasks on new, unseen data, available for customers looking to accelerate their journey to private AI.
Global business and technology leaders are in a race to capitalize on the potential advances and advantages of AI. While 86% of leaders are confident their AI implementation is best in class, only 29% of those leaders believe their AI is ready to manage future risks. This highlights the critical need for comprehensive and scalable AI private cloud services to help bridge the gap between confidence and readiness.
Kyndryl's AI Private Cloud services optimize data infrastructure with sovereign and compliant attributes and provide robust data privacy measures that allow businesses to maintain control over their data, while helping achieve regulatory compliance. 0 0
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

UAE executives trust AI to take lead on pay rises, recruitment and even personal health
UAE executives trust AI to take lead on pay rises, recruitment and even personal health

Arabian Business

time20 hours ago

  • Arabian Business

UAE executives trust AI to take lead on pay rises, recruitment and even personal health

UAE business leaders are showing record-breaking trust in artificial intelligence (AI), with nearly 80 per cent saying they are comfortable with fully automated systems making high-stakes decisions—including those affecting pay, hiring, health, and even personal life choices. The findings, from a new study by next-generation technology firm Endava, show that AI in the UAE is no longer just a support tool—it's becoming a strategic decision-maker. According to the research: 79 per cent of UAE executives trust AI to allocate company budgets, even if those decisions influence individual compensation 80 per cent are comfortable with AI overseeing health and safety functions 79 per cent support AI-driven hiring, performance, and redundancy decisions AI in the UAE Remarkably, the trust in AI extends beyond the workplace. Four in five respondents said they would rely on AI to: Guide their career trajectory Determine ideal salary progression Provide personal financial advice, including retirement planning Offer health recommendations David Boast, General Manager – UAE and KSA at Endava, said: 'Trust is the critical enabler of any AI strategy. The UAE's clear national vision, its youthful and tech-savvy demographic, and its digital-first mindset are combining to give organisations a unique opportunity to innovate with confidence. 'While other regions remain cautious, weighed down by debates over job displacement, our research shows that businesses in the UAE can move forward with certainty, knowing their workforces are not only ready for AI, but actively embracing it.' This growing confidence comes amid the UAE's multi-billion-dollar investments into AI infrastructure and a clear national ambition to lead in the sector. Nearly 46 per cent of respondents believe the UAE is ahead of the global curve in AI adoption, ranking the Middle East third worldwide behind only the US and China. AI is boosting business performance and job satisfaction The business case is strong: 71 per cent of decision-makers said AI has already improved profitability 75 per cent believe AI will boost job satisfaction Nearly three-quarters say their company is creating new AI roles, including 'Head of AI' and specialist deployment teams At the same time, more than half of respondents warned that without meaningful AI progress, their companies risk losing market share within two years. Despite high enthusiasm, only 25 per cent of companies believe their current systems—especially data infrastructure—are fully ready to support enterprise-grade AI. Boast called on organisations across the UAE and the wider Middle East to focus not only on AI investment, but on smart implementation. He said: 'This includes laying the right data foundations by modernising their core systems, integrating AI responsibly into operations, leveraging pre-built AI accelerators, and prioritising solutions that complement human potential rather than replace it. 'The UAE's AI enthusiasm must be tempered by clear strategy, and outcome-driven efforts. At Endava, we are proud to support regional governments and enterprises filtering through the AI buzz, to extract and incorporate those impactful use cases. 'With a workforce this receptive and government vision this clear, this approach is helping position the UAE as a global reference point for AI done right.'

The overlooked AI aspect of the US-Bahrain nuclear co-operation deal
The overlooked AI aspect of the US-Bahrain nuclear co-operation deal

The National

timea day ago

  • The National

The overlooked AI aspect of the US-Bahrain nuclear co-operation deal

The artificial intelligence boom was the primary driver of a recently signed nuclear energy agreement between Bahrain and the US, according to a Middle East technology expert. US Secretary of State Marco Rubio and Bahrain's Minister of Foreign Affairs Dr Abdullatif Al Zayani signed on Wednesday a civil nuclear co-operation agreement − and a major part of the deal involves a commitment to the development of small modular reactors. 'This deal positions Bahrain to become an emerging AI power, leveraging SMR inroads and its legacy as one of the Gulf's earliest technology pioneers,' said Mohammed Soliman, director of the strategic technology programme at the Washington-based Middle East Institute think tank. Over the past decade, as the AI boom has placed strain on energy grids, enthusiasm for SMRs − compact and versatile reactors that can be built and put on line at a quicker pace than conventional nuclear reactors − has increased significantly. Mr Soliman said that while most media coverage of the nuclear co-operation agreement framed it in the context of energy diversification, the bigger story was broader technological and industrial pivot throughout the Arabian Gulf. 'Energy is about enabling sovereign AI systems and digital exports,' he said. 'That shift from oil to AI is what gives this announcement its strategic weight.' While there has been a significant surge in SMR research and commitments from various entities in the public and private sectors around the world, most are still in the lengthy regulatory review and licensing stage. However, Mr Soliman said that SMRs are finally ready to come to fruition, and could have significant presence throughout the Middle East. 'The technology has matured considerably, especially with new reactor designs and private-sector players accelerating deployment,' he said. Governments throughout the Middle East, he added, have an appetite for placing long-term infrastructure bets and have centralised planning that make the region 'one of the most likely where SMRs can reach meaningful scale'. The infrastructure of the data centres that power AI takes more energy than conventional computing. Most estimates show that a query to ChatGPT uses 10 times more energy than a similar search on Google. In the US, the need to plug the energy gap created by AI has spurred renewed interest and public support for nuclear reactors. That pattern of nuclear enthusiasm has been echoed in many parts of the world, including the Middle East, where several countries are hoping to play a major role in AI development. 'This Nuclear Co-operation Memorandum of Understanding represents an important step towards deepening a robust civil nuclear partnership between the US and Bahrain,' said Ann Ganzer, US deputy assistant secretary in the Bureau of Arms Control and Nonproliferation. She added that the agreement builds on both countries' collaboration through something called First – the Foundational Infrastructure for Responsible Use of Small Modular Reactor Technology. Mr Al Zayani echoed those sentiments, saying that the country looks forward to the learning from the US's 'world-leading technology and expertise in this field'. 'There is no doubt that co-operation on nuclear technology will be a vital contributor to our shared responsibility and prosperity in the years ahead,' he added.

Meta's Zuckerberg pledges hundreds of billions for AI data centres
Meta's Zuckerberg pledges hundreds of billions for AI data centres

Khaleej Times

timea day ago

  • Khaleej Times

Meta's Zuckerberg pledges hundreds of billions for AI data centres

Mark Zuckerberg said on Monday that Meta Platforms would spend hundreds of billions of dollars to build several massive artificial intelligence (AI) data centres for superintelligence, intensifying his pursuit of a technology he has chased with a talent war for top engineers. The social media giant (META.O) is among the large tech companies that have struck high-profile deals and doled out multi-million-dollar pay packages in recent months to fast-track work on machines that could outthink humans on many tasks. Its first multi-gigawatt data centre, dubbed Prometheus, is expected to come online in 2026, while another, called Hyperion, will be able to scale up to 5 gigawatts over the coming years, Zuckerberg said in a post on his Threads social media platform. 'We're building multiple more titan clusters as well. Just one of these covers a significant part of the footprint of Manhattan,' the billionaire CEO said. He also pointed to a report from industry publication SemiAnalysis that Meta was on track to be the first AI lab to bring a gigawatt-plus supercluster online. Zuckerberg touted the strength in the company's core advertising business to justify the massive spending amid investor concerns on whether the expenditure would pay off. 'We have the capital from our business to do this,' he said. Market value Meta shares were trading 1 per cent higher. The stock has risen more than 20 per cent so far this year. The company, which generated nearly $165 billion (Dh606 billion) in revenue last year, reorganised its AI efforts last month under a division called Superintelligence Labs after setbacks for its open-source Llama 4 model and key staff departures. It is betting that the division would generate new cash flows from the Meta AI app, image-to-video ad tools and smart glasses. Top members of the unit have considered abandoning Behemoth, the company's most powerful open-source AI model, in favour of developing a closed alternative, the New York Times reported separately on Monday. D.A. Davidson analyst Gil Luria said Meta was investing aggressively in AI as the technology has already boosted its ad business by allowing it to sell more ads and at higher prices. But at this scale, the investment is more oriented to the long-term competition to have the leading AI model, which could take time to materialise, Luria said. In recent weeks, Zuckerberg has personally led an aggressive talent raid for the Meta Superintelligence Labs, which will be led by former Scale AI CEO Alexandr Wang and ex-GitHub chief Nat Friedman, after Meta invested $14.3 billion (Dh52.5 billion) in Scale. Meta had raised its 2025 capital expenditure to between $64 billion (Dh235 billion) and $72 billion (Dh264 billion) in April, aiming to bolster the company's position against rivals OpenAI and Google.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store