Latest news with #AIInfrastructure
Zawya
2 days ago
- Business
- Zawya
Kuwait Investment Authority joins AI Infrastructure Partnership
NEW YORK - MGX, BlackRock, Global Infrastructure Partners (GIP), a part of BlackRock, and Microsoft today announced that the Kuwait Investment Authority (KIA) will join the AI Infrastructure Partnership (AIP), further reinforcing AIP's global reach and strategic impact as it accelerates investment in next-generation AI infrastructure. KIA's participation underscores the partnership between leading regional and global institutions in advancing the infrastructure and innovation needed to power the future of artificial intelligence. KIA is the first non-founder financial anchor investor to join AIP. With decades of deep investment experience, KIA is well positioned to support AIP's growth and help execute its global strategy. Established in September 2024 by BlackRock, Global Infrastructure Partners (GIP), MGX, and Microsoft, AIP was created to help mobilise US$30 billion of equity capital from investors, asset owners, and corporations, with the potential to reach up to US$100 billion when including debt financing. Over the past year, it has become one of the world's leading AI infrastructure platforms with the addition of technology partners NVIDIA, xAI, and Cisco, along with agreements with GE Vernova and NextEra Energy to help accelerate the scaling of energy solutions for AI data centers. Sheikh Saoud Salem Abdulaziz Al-Sabah, Managing Director of the Kuwait Investment Authority (KIA), said, 'KIA's participation in AIP reflects our long-term commitment to investing in transformative global infrastructure that drives innovation and economic progress. We view AI infrastructure as an instrumental driver of future growth, and we are proud to collaborate with leading global partners to accelerate its development at scale.' Ahmed Yahia Al Idrissi, Managing Director and CEO of MGX, said, 'We are delighted to welcome KIA as a strategic capital partner, marking a significant milestone that further reinforces the strength and long-term vision of the AIP Partnership. As the demand for AI infrastructure continues to rise, we must scale our investments and accelerate the pace of execution, working with our global partners.' Bayo Ogunlesi, Chairman and CEO of Global Infrastructure Partners, a part of BlackRock, said, 'We are pleased to welcome KIA as a partner in AIP. We have a longstanding and deep relationship with KIA, and we look forward to working with them and our other partners to position AIP at the forefront of helping to further our joint ambition to enhance AI innovation and economic growth.'
Arab News
29-05-2025
- Business
- Arab News
Middle Eastern states' action on AI will define their future
As the world plunges deeper into the era of artificial intelligence, a transformation as significant as the rise of the internet in the early 2000s is underway. AI is no longer a futuristic concept — it is the engine driving the next industrial revolution, with the potential to reshape global economies, redefine governance and revolutionize education, healthcare and national security. For the Middle East, this is not a distant horizon. It is an urgent present: countries must either embrace this new technological epoch with bold, coordinated investment in AI infrastructure or risk being sidelined in the global race for innovation and prosperity. At the heart of this new age lies the infrastructure that powers AI. This encompasses far more than algorithms or machine learning software. It begins with data centers — massive, energy-intensive facilities equipped with high-performance computing capabilities that allow AI systems to process and analyze staggering volumes of information. These data centers are the physical backbone of AI development, providing the computational muscle required for training large language models, real-time data analytics and AI-driven decision-making tools. Without such infrastructure, AI systems remain theoretical, unable to operate at scale or deliver meaningful impact. In addition to data centers, robust cloud computing platforms are essential. These platforms enable the seamless deployment, distribution and management of AI applications across various sectors — from public services to private enterprises — ensuring scalability, speed and accessibility across entire populations. Countries must either embrace this new technological epoch or risk being sidelined in the race for innovation and prosperity Dr. Majid Rafizadeh However, infrastructure in the physical sense is only one side of the equation. Human capital is equally important, if not even more so. The successful integration of AI into society depends on a skilled workforce — engineers, data scientists, machine learning specialists and policymakers — who can design, build, implement and regulate these advanced systems. Investment in education and training programs focused on AI, data science and ethical governance is essential to create a new generation of thinkers and leaders who can navigate the complexities of this technology responsibly. Without such investment in people, even the most advanced infrastructure will sit idle, underused or misused. Furthermore, AI development must be guided by a clear regulatory and ethical framework to ensure it serves humanity equitably. Governments must create laws and policies to protect privacy, prevent bias and guarantee transparency in AI decision-making. These frameworks are not merely bureaucratic necessities — they are foundational to public trust and international credibility. Amid this transformative moment, two Middle Eastern countries — Saudi Arabia and the UAE — have emerged as regional leaders in the AI space. Their efforts provide a compelling blueprint for what strategic foresight and sustained investment can achieve. Saudi Arabia, guided by its Vision 2030 agenda, has made AI a national priority. The Kingdom this month launched a groundbreaking state-backed company named Humain, dedicated to spearheading AI development and commercialization. Backed by the Public Investment Fund, Humain has quickly positioned itself as a major player by forging partnerships with leading global tech firms such as Nvidia and AMD. These partnerships aim to secure access to the high-performance chips and technologies that are critical for building AI infrastructure, including the deployment of new-generation data centers within Saudi territory. Such collaborations not only signal Saudi Arabia's technological ambitions but also reflect a broader commitment to building an innovation-based economy. But some other countries in the region risk falling dangerously behind. Economically, nations that fail to embrace AI risk losing out on billions of dollars in productivity gains and new job creation. AI is poised to revolutionize industries such as manufacturing, logistics, energy and finance. Countries that do not build the infrastructure to support these changes may see their industries fall into stagnation, lose competitiveness and suffer from growing unemployment and brain drain. Two Middle Eastern countries — Saudi Arabia and the UAE — have emerged as regional leaders in the AI space Dr. Majid Rafizadeh In terms of governance, the implications are equally troubling. Governments that do not incorporate AI into public administration will struggle to deliver efficient services, predict policy outcomes or manage resources effectively. They will miss out on AI-driven tools for urban planning, traffic management, resource allocation and even pandemic response. In contrast, countries that harness AI will be able to govern more smartly and respond to crises with agility. The same applies to national security. In an era where cyberwarfare, surveillance and automated defense systems are rapidly evolving, nations without AI capabilities will face significant vulnerabilities. Their inability to defend against cyberattacks or use AI in intelligence gathering and threat detection could compromise sovereignty and internal stability. There is also a societal cost. Without regulation and oversight, the use of AI can lead to serious ethical breaches, from algorithmic bias and privacy violations to social manipulation through disinformation. In the absence of proper guardrails, imported AI technologies could be used in ways that erode democratic values, undermine human rights and amplify existing inequalities. In conclusion, the global AI transformation is not a far-off fantasy — it is unfolding now. Just as the rise of the internet in the early 2000s transformed commerce, culture and communication, AI is redefining the contours of the 21st-century world. The Middle East must respond with urgency. Saudi Arabia and the UAE have shown what is possible with vision, capital and strategic partnerships. Their actions have not only accelerated their own national development but have also raised the stakes for the region as a whole. This momentum must continue and it must spread. Now is the time for other regional governments, private sector leaders and civil society to come together to forge national and transnational strategies for AI infrastructure development. This includes funding and constructing modern data centers, investing in broadband and cloud platforms, launching AI-focused education and training programs, and designing comprehensive ethical and legal frameworks for the responsible use of AI. The longer countries delay, the harder it will be to catch up. Inaction today will result in diminished sovereignty, economic irrelevance and technological dependence tomorrow.
CNA
21-05-2025
- Business
- CNA
OpenAI's biggest data center secures $11.6 billion in funding, WSJ reports
A data center in Texas that startup Crusoe is building for OpenAI has secured $11.6 billion in funding to expand from two to eight buildings, the Wall Street Journal reported on Wednesday. The data center — expected to be the ChatGPT parent's largest — will use up to 50,000 Nvidia Blackwell chips per building, according to the report. The funding, a mix of debt and equity, will increase the total amount secured for the project to $15 billion, the WSJ report said, citing Crusoe. The development of these data centers is a crucial step for OpenAI as it looks to expand key infrastructure necessary for tackling complex tasks employed by generative artificial intelligence, while reducing dependence on its backer Microsoft. OpenAI, Nvidia and Crusoe did not immediately respond to Reuters' requests for comment. Crusoe, launched in 2018 as a cryptocurrency business, has pivoted to building AI infrastructure and is among the upcoming "neoclouds" that provide specialized AI cloud and data center services. The startup was tapped by Oracle to build the first data center for the $500 billion Stargate project, Reuters had reported in January.
Bloomberg
20-05-2025
- Business
- Bloomberg
Dell Tech World, Musk Commits to Staying at Tesla
Bloomberg's Ed Ludlow, live from Dell Technologies World, discusses developments in AI infrastructure. Plus, Elon Musk says he is committed to running Tesla for the next five years. And Cohere CEO Aidan Gomez says the competitor to OpenAI has doubled its revenue since the start of the year. (Source: Bloomberg)
Yahoo
19-05-2025
- Business
- Yahoo
Marvell and NVIDIA to Provide Custom Solutions for Advanced AI Infrastructure
Marvell Custom Silicon with NVIDIA NVLink Fusion Delivers Greater Flexibility for AI Infrastructure and Accelerates Time to Deployment SANTA CLARA, Calif., May 19, 2025 /PRNewswire/ -- Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced it is teaming with NVIDIA to offer NVIDIA NVLink Fusion technology to customers employing Marvell custom cloud platform silicon. NVLink Fusion is an innovative new offering from NVIDIA for integrating custom XPU silicon with NVIDIA NVLink connectivity, rack-scale hardware architecture, software and other technology, providing customers with greater flexibility and choice in developing next-generation AI infrastructure. The Marvell custom platform strategy seeks to deliver breakthrough results through unique semiconductor designs and innovative approaches. By combining expertise in system and semiconductor design, advanced process manufacturing, and a comprehensive portfolio of semiconductor platform solutions and IP—including electrical and optical serializer/deserializers (SerDes), die-to-die interconnects for 2D and 3D devices, advanced packaging, silicon photonics, co-packaged copper, custom high-bandwidth memory (HBM), system-on-chip (SoC) fabrics, optical IO, and compute fabric interfaces such as PCIe Gen 7— Marvell is able to create platforms in collaboration with customers that transform infrastructure performance, efficiency and value. Marvell custom silicon with NVLink Fusion offers hyperscalers an accelerated path to custom scale-up solutions that meet the rigorous demands of model training and agentic AI inference—where outputs are driven by learned knowledge and reasoning. Hyperscalers can now seamlessly deploy these customized capabilities across their AI data center infrastructure while also leveraging their architecture investments in NVLink. NVLink gives cloud providers an easy path to scale out AI factories to millions of custom XPUs by effectively enabling them to integrate their proprietary XPUs into NVIDIA's rack-scale systems and the NVIDIA end-to-end networking platform. The core technology of NVLink Fusion is a chiplet delivering up to 1.8TB/s of bidirectional bandwidth. "Marvell and NVIDIA are working together to advance AI factory integration," said Nick Kucharewski, senior vice president and general manager, Cloud Platform Business Unit at Marvell. "Through this collaboration, we offer customers the flexibility to rapidly deploy scalable AI infrastructure with the bandwidth, performance and reliability required to support advanced AI models." "The computing landscape is being reshaped as AI is no longer an application—it is foundational to modern data centers," said Shar Narasimhan, Director of Accelerated Computing at NVIDIA. "NVLink Fusion extends NVIDIA's open platform to partners like Marvell, enabling hyperscalers to scale out AI factories to millions of GPUs, using custom silicon, NVIDIA's rack-scale systems and the NVIDIA end-to-end networking platform, to meet the world's accelerating demand for intelligence." About MarvellTo deliver the data infrastructure technology that connects the world, we're building solutions on the most powerful foundation: our partnerships with our customers. Trusted by the world's leading technology companies for over 25 years, we move, store, process and secure the world's data with semiconductor solutions designed for our customers' current needs and future ambitions. Through a process of deep collaboration and transparency, we're ultimately changing the way tomorrow's enterprise, cloud, automotive, and carrier architectures transform—for the better. Marvell and the M logo are trademarks of Marvell or its affiliates. Please visit for a complete list of Marvell trademarks. Other names and brands may be claimed as the property of others. This press release contains forward-looking statements within the meaning of the federal securities laws that involve risks and uncertainties. Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate or imply future events, results or achievements. Actual events, results or achievements may differ materially from those contemplated in this press release. Forward-looking statements are only predictions and are subject to risks, uncertainties and assumptions that are difficult to predict, including those described in the "Risk Factors" section of our Annual Reports on Form 10-K, Quarterly Reports on Form 10-Q and other documents filed by us from time to time with the SEC. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and no person assumes any obligation to update or revise any such forward-looking statements, whether as a result of new information, future events or otherwise. For further information, contact:Kim Marklepr@ View original content to download multimedia: SOURCE Marvell Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
