#aws datacenter

[poojalate]

How Leading Companies Are Leveraging Infrastructure as a Service (IaaS)

As businesses increasingly turn to digital solutions, Infrastructure as a Service (IaaS) has emerged as a vital component for modern enterprises. By utilizing cloud platforms, companies can enhance their agility, scalability, and cost-efficiency. This article explores infrastructure as a service examples and how leading companies are leveraging IaaS providers to drive innovation and growth.

What is Infrastructure as a Service (IaaS)?

IaaS is a cloud computing service model that delivers virtualized computing resources over the internet. It enables businesses to rent infrastructure components like servers, storage, and networking, rather than investing in physical hardware. This flexibility allows companies to scale resources according to their needs and focus on core activities without the burden of managing IT infrastructure.

1. Netflix: Enhancing Scalability and Performance

Cloud Infrastructure Examples

Netflix, the global streaming giant, leverages IaaS to manage its vast content library and ensure seamless streaming experiences for millions of users worldwide. By using IaaS providers like Amazon Web Services (AWS), Netflix can quickly scale its infrastructure to handle peak loads, such as new releases or seasonal spikes in viewership. This scalability ensures high performance and availability, crucial for maintaining customer satisfaction.

2. Airbnb: Optimizing Resource Management

IaaS Use Cases

Airbnb, the popular online marketplace for lodging, utilizes IaaS to manage its global operations. The company employs cloud services examples like dynamic scaling to match infrastructure resources with fluctuating demand. During peak travel seasons or significant events, Airbnb can scale up its infrastructure to accommodate increased traffic, ensuring reliable service and user experience.

3. Slack: Ensuring Data Security and Compliance

Cloud Platforms

Slack, a leading collaboration platform, relies on IaaS for data security and regulatory compliance. By partnering with IaaS providers like Google Cloud Platform (GCP), Slack benefits from advanced security features, including encryption and compliance with industry standards such as GDPR and HIPAA. This ensures that sensitive business communications remain secure and compliant with regulations.

4. Pinterest: Enhancing Development and Innovation

IaaS Providers

Pinterest, a visual discovery and bookmarking platform, leverages IaaS to accelerate development cycles and foster innovation. Using cloud platforms like Microsoft Azure, Pinterest provides its developers with the tools and resources needed to build, test, and deploy new features rapidly. This agile development environment supports continuous improvement and innovation.

5. Spotify: Delivering Seamless Music Streaming

Cloud Infrastructure Examples

Spotify, the music streaming service, utilizes IaaS to manage its extensive music catalog and deliver high-quality streaming experiences. By using cloud platforms like Google Cloud, Spotify ensures that users can access their favorite music anytime, anywhere. The scalable infrastructure allows Spotify to handle millions of concurrent users without compromising performance.

6. Coca-Cola: Supporting Global Operations

IaaS Use Cases

Coca-Cola, a global beverage leader, uses IaaS to support its worldwide operations. By partnering with IaaS providers like IBM Cloud, Coca-Cola manages its supply chain, customer data, and digital marketing initiatives across different regions. This integrated approach enables Coca-Cola to maintain consistency and efficiency in its global operations.

7. Twitter: Managing Real-Time Data

Cloud Services Examples

Twitter, the social media platform, leverages IaaS to manage and process vast amounts of real-time data. Using cloud platforms like AWS, Twitter can handle high volumes of tweets, mentions, and user interactions with minimal latency. This capability is crucial for delivering real-time updates and maintaining user engagement.

8. General Electric: Facilitating Industrial IoT

IaaS Providers

General Electric (GE) uses IaaS to power its Industrial Internet of Things (IIoT) initiatives. By utilizing cloud platforms like Microsoft Azure, GE connects industrial equipment and collects data to optimize performance and predict maintenance needs. This data-driven approach enhances operational efficiency and reduces downtime.

9. eBay: Ensuring High Availability

Cloud Infrastructure Examples

eBay, the e-commerce giant, employs IaaS to ensure high availability and reliability for its global marketplace. By using IaaS providers like AWS, eBay can quickly scale its infrastructure to handle large volumes of transactions and user interactions. This reliability is essential for maintaining trust and satisfaction among buyers and sellers.

10. Zoom: Supporting Remote Communication

IaaS Use Cases

Zoom, the video conferencing service, relies on IaaS to support its global user base. By leveraging cloud platforms like Oracle Cloud, Zoom ensures high-quality video and audio communication, even during peak usage times. This scalability and reliability are critical for supporting remote work and virtual events.

Conclusion

Leading companies across various industries are leveraging Infrastructure as a Service (IaaS) to enhance scalability, performance, security, and innovation. By partnering with top IaaS providers and utilizing cloud infrastructure services, these businesses can stay agile, competitive, and responsive to market demands. Whether it's optimizing resource management, ensuring data security, or supporting global operations, IaaS provides the flexibility and power needed to drive business success in the digital age.

[grey-space-computing]

Growth is exciting, but only if your app can handle it! Cloud technology ensures your app scales effortlessly to meet increasing demand. 📈 Get ready for success! 🔗Learn more: https://greyspacecomputing.com/custom-mobile-application-development-services/  📧 Visit: https://greyspacecomputing.com/portfolio

[codingbitrecords]

Investment Analysis Coding Bit

In 2025, the global investment Analysis is being shaped by technological innovation, geopolitical shifts, and evolving consumer behaviors. Sectors like AI, clean energy, cloud computing, and digital commerce are expected to drive substantial growth. While central banks are cautiously adjusting interest rates, investor sentiment is gradually shifting from conservative holdings to high-growth technology and sustainability-driven assets. 

E-Commerce

Current Status:

Global e-commerce is experiencing steady growth, especially in emerging markets.

AI-driven personalization and social commerce are driving engagement.

Logistics and last-mile delivery continue to be a challenge and opportunity.

Market Trends:

Omnichannel Retail: Integration of offline and online touchpoints.

AI & AR Integration: Enhanced shopping experiences through virtual try-ons and AI suggestions.

Sustainability: Preference for eco-conscious brands is rising.

Investment Insight:

Strong growth potential in Southeast Asia, India, and Africa.

Key Players to Watch: Amazon, Alibaba, Shopify, Mercado Libre.                                                                                       📞 Phone Number: +91 9511803947                                                                                                                                              📧 Email Address: contact@codingbit.com                          

[enterprisechronicles]

The Power of Cloud Computing: Revolutionizing Business in the Digital Age

Cloud Computing has emerged as a transformative force in the business world, enabling companies to innovate, scale, and optimize their operations like never before. With its ability to provide on-demand access to computing resources—whether storage, processing power, or networking—this technology is helping businesses across industries streamline their operations and reduce costs. As more organizations move away from traditional IT infrastructures, the benefits are becoming increasingly clear.

In this article, we’ll explore how cloud technology is revolutionizing business, its key benefits, and why companies must embrace it to stay competitive in the digital age.

Here are the top 5 benefits of Cloud Computing:

1. What is Cloud Technology?

At its core, cloud computing refers to the delivery of computing services—including servers, storage, databases, networking, software, and analytics—over the internet (the “cloud”). Instead of owning and maintaining physical data centers or servers, businesses can rent access to technology services as needed. This flexibility allows them to scale their IT resources up or down according to demand, avoiding the costs and limitations of traditional infrastructure.

There are three main types of cloud services:

Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet, allowing businesses to rent servers and storage.

Platform as a Service (PaaS): Offers a platform for developers to build, test, and deploy applications without managing the underlying infrastructure.

Software as a Service (SaaS): Delivers software applications over the internet on a subscription basis, eliminating the need for businesses to install and maintain software locally.

These service models have made cloud computing accessible to businesses of all sizes, from startups to multinational corporations.

2. The Key Benefits

The rise of cloud technology has been driven by the many advantages it offers to businesses. These benefits have made it a cornerstone of modern IT strategy, enabling companies to innovate and compete in increasingly complex markets. Here are some of the primary benefits:

a. Cost Efficiency

One of the most compelling reasons businesses adopt cloud services is the significant cost savings. Traditional IT infrastructures require substantial investments in hardware, software, and personnel to maintain and upgrade systems. With cloud technology, businesses only pay for the resources they use, transforming fixed IT costs into variable ones.

Additionally, companies can avoid the costs associated with purchasing, maintaining, and upgrading physical infrastructure, as the provider handles these responsibilities. This allows businesses to focus their resources on innovation and growth rather than IT management.

b. Scalability and Flexibility

Cloud services offer unparalleled scalability. Businesses can easily adjust their computing resources to match demand without having to worry about over-provisioning or under-provisioning hardware. For instance, an e-commerce company may experience a surge in traffic during the holiday season, and cloud services allow it to scale up its resources to handle the increased load. Once the peak period ends, the company can scale back down, ensuring it only pays for what it needs.

This flexibility allows businesses to be more agile and responsive to market conditions, making it easier to launch new products or services without the constraints of physical infrastructure.

c. Disaster Recovery and Data Security

https://enterprisechronicles.com/wp-content/uploads/2024/09/10.1-Disaster-Recovery-and-Data-Security.jpg

Cloud Computing provides robust disaster recovery solutions that are typically out of reach for smaller businesses using traditional infrastructure. By storing data in geographically dispersed data centers, businesses can ensure that their information is safe from localized disasters such as fires or floods.

In addition, leading cloud providers invest heavily in security measures, including encryption, multi-factor authentication, and continuous monitoring. These safeguards often surpass what businesses could implement in-house, making the cloud a more secure option for managing sensitive data.

d. Enhanced Collaboration and Remote Work

The rise of remote work has made cloud solutions even more essential. With cloud-based tools and applications, teams can collaborate in real-time, regardless of their physical location. Documents can be shared, updated, and stored in the cloud, ensuring everyone has access to the latest versions. This technology makes it easier for employees to work from anywhere, increasing productivity and flexibility.

Tools such as cloud-based project management platforms, communication software, and file-sharing services allow seamless collaboration across time zones and departments, leading to improved workflows and decision-making.

3. Cloud Computing and Innovation

Beyond the operational advantages, cloud computing is a key enabler of innovation. By providing access to cutting-edge technologies such as artificial intelligence (AI), machine learning, and big data analytics, the cloud allows businesses to experiment with and implement advanced solutions at a fraction of the cost of traditional IT infrastructures.

For instance, companies can use cloud-based AI services to automate tasks, analyze large data sets, or personalize customer experiences without having to develop these capabilities in-house. This democratization of technology allows smaller businesses to compete with larger enterprises on a more level playing field.

Additionally, cloud solutions accelerate the time-to-market for new products and services. Development teams can quickly build, test, and deploy applications without waiting for hardware installations or infrastructure upgrades. This ability to rapidly innovate and iterate gives businesses a competitive edge in fast-moving industries.

4. Cloud Computing for Small Businesses

While large enterprises have long embraced cloud services, small businesses stand to benefit just as much, if not more. This technology levels the playing field by providing small businesses with access to the same technologies and capabilities that were once reserved for industry giants.

For small businesses, the cloud offers an affordable, scalable solution that eliminates the need for expensive IT investments. Instead of hiring a dedicated IT team, small businesses can leverage cloud services to manage everything from customer relationships to inventory control. The cloud also provides small businesses with the agility to respond quickly to market changes and customer needs, making it easier to grow and adapt in a competitive environment.

5. Future Trends in Cloud Computing

Edge Computing: By processing data closer to its source (the “edge”), businesses can reduce latency and improve performance, especially in applications like autonomous vehicles and smart cities.

Hybrid Cloud Solutions: Many companies are adopting hybrid models, combining private and public clouds to optimize security, performance, and cost-effectiveness.

Cloud-Native Development: Building applications specifically for cloud environments allows businesses to fully leverage the scalability and flexibility of cloud computing.

Conclusion

Cloud Computing is more than a technological shift—it’s a catalyst for business transformation. By offering cost savings, scalability, security, and enhanced collaboration, cloud services enable businesses to operate more efficiently and innovate faster. Whether you’re a small startup or a global enterprise, embracing cloud computing is crucial for staying competitive in today’s digital economy.

As businesses continue to adapt to new challenges and opportunities, cloud technology will remain a critical tool for driving growth, improving agility, and delivering exceptional value to customers. The future of business is in the cloud.

[dclessonsonline]

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[livewirehopecollege]

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Cloud Computing

[chappydev]

Future of LLMs (or, "AI", as it is improperly called)

Posted a thread on bluesky and wanted to share it and expand on it here. I'm tangentially connected to the industry as someone who has worked in game dev, but I know people who work at more enterprise focused companies like Microsoft, Oracle, etc. I'm a developer who is highly AI-critical, but I'm also aware of where it stands in the tech world and thus I think I can share my perspective. I am by no means an expert, mind you, so take it all with a grain of salt, but I think that since so many creatives and artists are on this platform, it would be of interest here. Or maybe I'm just rambling, idk.

LLM art models ("AI art") will eventually crash and burn. Even if they win their legal battles (which if they do win, it will only be at great cost), AI art is a bad word almost universally. Even more than that, the business model hemmoraghes money. Every time someone generates art, the company loses money -- it's a very high energy process, and there's simply no way to monetize it without charging like a thousand dollars per generation. It's environmentally awful, but it's also expensive, and the sheer cost will mean they won't last without somehow bringing energy costs down. Maybe this could be doable if they weren't also being sued from every angle, but they just don't have infinite money.

Companies that are investing in "ai research" to find a use for LLMs in their company will, after years of research, come up with nothing. They will blame their devs and lay them off. The devs, worth noting, aren't necessarily to blame. I know an AI developer at meta (LLM, really, because again AI is not real), and the morale of that team is at an all time low. Their entire job is explaining patiently to product managers that no, what you're asking for isn't possible, nothing you want me to make can exist, we do not need to pivot to LLMs. The product managers tell them to try anyway. They write an LLM. It is unable to do what was asked for. "Hm let's try again" the product manager says. This cannot go on forever, not even for Meta. Worst part is, the dev who was more or less trying to fight against this will get the blame, while the product manager moves on to the next thing. Think like how NFTs suddenly disappeared, but then every company moved to AI. It will be annoying and people will lose jobs, but not the people responsible.

ChatGPT will probably go away as something public facing as the OpenAI foundation continues to be mismanaged. However, while ChatGPT as something people use to like, write scripts and stuff, will become less frequent as the public facing chatGPT becomes unmaintainable, internal chatGPT based LLMs will continue to exist.

This is the only sort of LLM that actually has any real practical use case. Basically, companies like Oracle, Microsoft, Meta etc license an AI company's model, usually ChatGPT.They are given more or less a version of ChatGPT they can then customize and train on their own internal data. These internal LLMs are then used by developers and others to assist with work. Not in the "write this for me" kind of way but in the "Find me this data" kind of way, or asking it how a piece of code works. "How does X software that Oracle makes do Y function, take me to that function" and things like that. Also asking it to write SQL queries and RegExes. Everyone I talk to who uses these intrernal LLMs talks about how that's like, the biggest thign they ask it to do, lol.

This still has some ethical problems. It's bad for the enivronment, but it's not being done in some datacenter in god knows where and vampiring off of a power grid -- it's running on the existing servers of these companies. Their power costs will go up, contributing to global warming, but it's profitable and actually useful, so companies won't care and only do token things like carbon credits or whatever. Still, it will be less of an impact than now, so there's something. As for training on internal data, I personally don't find this unethical, not in the same way as training off of external data. Training a language model to understand a C++ project and then asking it for help with that project is not quite the same thing as asking a bot that has scanned all of GitHub against the consent of developers and asking it to write an entire project for me, you know? It will still sometimes hallucinate and give bad results, but nowhere near as badly as the massive, public bots do since it's so specialized.

The only one I'm actually unsure and worried about is voice acting models, aka AI voices. It gets far less pushback than AI art (it should get more, but it's not as caustic to a brand as AI art is. I have seen people willing to overlook an AI voice in a youtube video, but will have negative feelings on AI art), as the public is less educated on voice acting as a profession. This has all the same ethical problems that AI art has, but I do not know if it has the same legal problems. It seems legally unclear who owns a voice when they voice act for a company; obviously, if a third party trains on your voice from a product you worked on, that company can sue them, but can you directly? If you own the work, then yes, you definitely can, but if you did a role for Disney and Disney then trains off of that... this is morally horrible, but legally, without stricter laws and contracts, they can get away with it.

In short, AI art does not make money outside of venture capital so it will not last forever. ChatGPT's main income source is selling specialized LLMs to companies, so the public facing ChatGPT is mostly like, a showcase product. As OpenAI the company continues to deathspiral, I see the company shutting down, and new companies (with some of the same people) popping up and pivoting to exclusively catering to enterprises as an enterprise solution. LLM models will become like, idk, SQL servers or whatever. Something the general public doesn't interact with directly but is everywhere in the industry. This will still have environmental implications, but LLMs are actually good at this, and the data theft problem disappears in most cases.

Again, this is just my general feeling, based on things I've heard from people in enterprise software or working on LLMs (often not because they signed up for it, but because the company is pivoting to it so i guess I write shitty LLMs now). I think artists will eventually be safe from AI but only after immense damages, I think writers will be similarly safe, but I'm worried for voice acting.

[hyperloopcloud]

Welcome to Hyperloop Cloud Space having 15+ years of experience cloud and data center services! Our expertise in cloud computing and data center management ensures that your business stays ahead in todays fast-paced digital landscape. catering to 12k+ customers our datacenter. They include a range of solutions such as colocation, cloud hosting, disaster recovery, and Multi-Cloud Solutions such as AWS Cloud, Google Cloud, Azure Cloud services.

Hyperloop Cloud computing is characterized by on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. These characteristics enable businesses to access computing resources quickly and easily, adapt to changing demands, and pay only for what they use.

[cevioustech]

Best Tally, Cloud, App Development Services Provider | Cevious Technologies.

CEVIOUS was founded in 2009 in Delhi, having 14+ years of experience as a 5-Star Tally Sales, Service & GVLA Partner, catering to 12000+ customers & 4500 Tally License Host in our datacenter. We provide Tally Prime, Customization, Tally AWS Cloud, Datacenter Service, App Development and business automation solutions.

[lily-ohfally]

Hi!! If there's anyone on the EU datacenter on chaos that would be interested in attending a wedding sometime during early October, Mikan and I are getting platonically married for tax benefits (glams, etc.) and I will just say, the more the merrier lol

We have decided on a theme too: Youtube Drama/controversy! Dress up as your favorite awful youtuber and come have fun and get your minions!

[grey-space-computing]

Experience the perfect blend of speed, reliability, and scalability with cloud technology. ⚡ Elevate your app’s performance and keep users coming back for more! 🔗Learn more: https://greyspacecomputing.com/custom-mobile-application-development-services/  📧 Visit: https://greyspacecomputing.com/portfolio

[dclessonsonline]

Rise to the top of the data center world with #CCIE! Explore complex designs, implementations, and troubleshooting. Join the league of elite networking professionals and showcase your mastery. https://www.dclessons.com/

[communicationblogs]

🏢 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 (𝟐𝟎𝟐𝟒–𝟐𝟎𝟑𝟏) 🏢

📌 𝐌𝐚𝐫𝐤𝐞𝐭 𝐎𝐮𝐭𝐥𝐨𝐨𝐤

The global Data Center Market is projected to grow from $340.0B in 2024 to $418.0B by 2031, expanding at a steady CAGR of 9.6%. This growth is fueled by explosive demand for cloud infrastructure, AI workloads, and real-time edge computing, making data centers the digital backbone of our hyperconnected world.

📊 𝐓𝐨𝐩 𝐆𝐫𝐨𝐰𝐭𝐡 𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥𝐬

• Cloud Service Providers — Expanding hyperscale and edge facilities

• AI & ML Workloads — Custom data center builds for GPU/TPU performance

• Financial Services — Latency-critical infrastructure and regulatory compliance

• Telecom — 5G-driven demand for low-latency edge hubs

🔗 𝐆𝐞𝐭 𝐑𝐎𝐈-𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓-𝟐𝟎𝟑𝟏 → 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐍𝐨𝐰 

💡 𝐖𝐡𝐚𝐭’𝐬 𝐏𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐌𝐚𝐫𝐤𝐞𝐭

• Cloud migration across sectors

• Surge in AI-powered enterprise applications

• Growth in IoT, streaming, and remote work

• Demand for ultra-low latency and real-time analytics

🛑 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐭𝐨 𝐖𝐚𝐭𝐜𝐡

• Soaring power consumption and carbon impact

• Limited land and water resources for hyperscale builds

• High upfront costs and supply chain disruptions

🔬 𝐄𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐓𝐫𝐞𝐧𝐝𝐬

• AI-optimized, workload-specific data centers

• Liquid cooling and sustainable infrastructure

• Modular and prefabricated data center units

• Quantum-ready compute environments

🏆 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 𝐭𝐨 𝐖𝐚𝐭𝐜𝐡

• Leaders: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Security, Alibaba Cloud

• Emerging: Quantum, EdgeConneX, Vantage Data Centers, Digital Realty

• Innovators: Submer, Nautilus Data Technologies, EcoDataCenter

📈 𝐖𝐡𝐲 𝐈𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬

Data centers aren’t just supporting digital growth — they’re enabling the next frontier of innovation. From real-time trading to autonomous vehicles, every modern experience rides on scalable, secure, and sustainable infrastructure.

#DataCenters #CloudComputing #AIInfrastructure #EdgeComputing #Hyperscale #GreenTech #DigitalInfrastructure #TechTrends #EnterpriseIT #QuantumComputing #SmartData #MarketInsights

[mariacallous]

Donald Trump’s jaunt to the Middle East featured an entourage of billionaire tech bros, a fighter-jet escort, and business deals designed to reshape the global landscape of artificial intelligence.

On the final stop of the tour in Abu Dhabi, the US president announced that unnamed US companies would partner with the United Arab Emirates to create the largest AI datacenter cluster outside of America.

Trump said that the US companies will help G42, an Emirati company, build five gigawatts of AI computing capacity in the UAE.

Sheikh Tahnoon bin Zayed Al Nahyan, who leads the UAE’s Artificial Intelligence and Advanced Technology Council and is in charge of a $1.5 trillion fortune aimed at building AI capabilities, said the move will strengthen the UAE’s position “as a hub for cutting-edge research and sustainable development, delivering transformative benefits for humanity.”

A few days earlier, as Trump arrived in Riyadh, Saudi Arabia announced Humain, an AI investment firm owned by the kingdom’s Public Investment Fund. The Saudi firm launched with blockbuster deals already inked with Nvidia, AMD, Qualcomm, and AWS—US tech giants capable of building the infrastructure needed to train and power cutting-edge AI models.

Trump said in a speech in Riyadh that US and Saudi companies would do deals worth hundreds of billions of dollars, with a focus on infrastructure, tech, and defense.

The deals forged in the Middle East this week are meant to strengthen the global importance of American silicon and AI, but they will also help nations like Saudi Arabia play a more significant role in the global race to develop and distribute cutting-edge technology.

“It will help the Saudis and the UAE become bigger players in providing AI infrastructure,” says Paul Triolo, a partner at DGA-Albright Stonebridge Group, a geopolitical consulting group. “It’s a big deal to get access to these GPUs.”

Saudi Arabia’s deal with Nvidia, which dominates the market for AI training hardware, will amount to 500 megawatts of capacity and involve “several hundred thousand of Nvidia’s most advanced GPUs over the next five years,” the company said in a statement.

According to one estimate, this could translate to around 250,000 of Nvidia’s most advanced chips, which are four times better at training and 30 times better at inference (running models that have already been trained) than the next-best offering. This capacity could lead Saudi Arabia to create frontier AI models.

AWS and Humain said they would jointly invest $5 billion in infrastructure in Saudi Arabia. AWS said in March that it will build an AI infrastructure zone in the country, investing more than $5.3 billion. Humain and AMD said they would spend $10 billion on AI infrastructure in Saudi Arabia and the US over the next five years.

Saudi Arabia, the UAE, and other nations in the region have vast quantities of oil money, access to plenty of power, and a strong desire to shift toward more high-tech economies by building out cutting-edge tech infrastructure. The countries also, however, have significant business ties to China, which sells technology to the region, placing them at the nexus of a growing geopolitical rivalry over the future of AI.

Diffusion Rule

A few days before Trump’s visit to the Middle East, his administration reversed a major Biden-era ruling that would have limited the sale of cutting-edge chips globally. The directive created tiers of nations with different access to cutting edge chips, and sought to limit how many chips Saudi Arabia and the UAE could buy. Critics of the rule suggested it might push some countries to buy Chinese technology instead.

In a statement announcing the change, the US Bureau of Industry and Security said the Biden rule “would have stifled American innovation and saddled companies with burdensome new regulatory requirements” and “undermined U.S. diplomatic relations with dozens of countries by downgrading them to second-tier status.”

The statement also issued guidance warning other nations to avoid using Huawei AI chips and calling on them to implement measures designed to prevent US chips from ending up in China. The directive did not specify the consequences of failing to comply.

Trump’s deals are designed to nudge the region towards greater alignment with the US, experts say. “This is not explicitly forcing Saudi Arabia and UAE to choose sides,” Triolo adds. “It is sort of saying ‘we’re making you an offer you can’t refuse’.”

The deals could strengthen the US dollar by building financial ties between the West and the Middle East. They could also help America secure energy and mineral resources. The infrastructure built by Saudi Arabia and UAE is likely to serve local companies as well as those in regions like Africa. And because US models are far better than those produced in the Middle East—at least for now—this strategy could help ensure that more of the AI used around the world is made in America.

Robert Tager, director of the Oxford Martin AI Governance Initiative at the University of Oxford, says the deals made this week are part of an effort to strengthen US techno-influence globally—particularly as it relates to China.

“There is this framing of a race against China on the one hand, and a sense that the US would like to be fundamental to the tech stack around the world,” Tager says. “I think they don't know exactly how they want to square that circle, [but] the US doesn’t want a situation where DeepSeek is the basis for the AI ecosystem around the world.”

Model Making

Saudi Arabia and the UAE have both made concerted efforts to build cutting-edge AI in recent years, investing significantly in academic and industry labs working on frontier research.

In 2020, the UAE hired Eric Xing, a prominent AI researcher, to lead the Mohamed bin Zayed University of Artificial Intelligence. Since then, a UAE government research lab has released several advanced Arabic language AI models known as Falcon. In 2021, Saudi Arabia’s King Abdullah University of Science and Technology recruited Jürgen Schmidhuber, a pioneer in modern AI, to head up its own AI initiative.

The AI research produced by these nations has been of modest quality compared to the advancements coming out of the US and China, Triolo says. But having access to substantial AI computing power could accelerate the region’s progress. “It changes the balance of compute in the world,” Tager says of the number of Nvidia chips headed to Saudi Arabia.

Georgia Adamson, a research associate with the Wadhwani AI Center at the Center for Strategic and International Studies, adds: “These aren’t your chips of yesterday, they are the next generation. It is incredibly interesting in terms of the capabilities they are going to get out of this.”

China Calling

Tension between the US and China make these deals complicated. Saudi Arabia and the UAE both have closer ties to China than countries that are considered close US allies, and use Huawei equipment for telecommunications infrastructure. Huawei is blacklisted by the US and a number of allies.

The UAE has sought to sever some ties to address US concerns, with G42 announcing in 2024 that it would remove Chinese equipment from its facilities. In April of that year, G42 also signed a deal for Microsoft to invest and build infrastructure in the country. The UAE is also a key backer of OpenAI’s Stargate project, which aims to invest $500 billion to build AI infrastructure in the US.

The development of AI hardware and infrastructure may be further complicated by the trade war between the US and China. High tariffs and restrictions on exports threatens to make such projects more expensive.

There are two main risks for the US when it comes to the UAE and Saudi Arabia, says Adamson. The first is that the deals could allow chips to be smuggled into China or provide Chinese firms with access to large, cutting-edge computer clusters. The second is that these countries may eventually become technological rivals with the US. “There is a competition element here,” she notes. “We don’t want today’s allies to be tomorrow’s enemies.”

For now, oil-rich nations are a boon to smaller US players in the AI race. In February, Saudi Arabia said it would invest $1.5 billion to expand a datacenter in Dammam operated by Groq, a US company that makes chips for efficient AI inference. In March, G42 said it would fund the development of a large datacenter in the US featuring chips from Cerebras, another US company hoping to rival Nvidia.

The giant deals inked this week “signal that Saudi Arabia is aiming to be a global AI player,” says a source who works closely with several governments on AI. They asked to remain anonymous to avoid damaging those relationships. Saudi Arabia has embarked on ambitious efforts to digitalize its economy to help with AI training and deployment, as well as investing in talent. “These commitments suggest that Saudi Arabia views AI not just as a technological frontier but as a strategic sector to diversify its economy beyond oil,” the source adds.

[ericvanderburg]

AWS says Britain needs more nuclear power to feed AI datacenter surge

http://securitytc.com/TKpMGg

[atplblog]

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