logo
Dell Technologies Fuels Enterprise AI Innovation with Infrastructure, Solutions and Services

Dell Technologies Fuels Enterprise AI Innovation with Infrastructure, Solutions and Services

Web Release24-05-2025
Dell Technologies (NYSE: DELL), the world's No. 1 provider of AI infrastructure,1 announces Dell AI Factory advancements, including powerful and energy-efficient AI infrastructure, integrated partner ecosystem solutions and professional services to drive simpler and faster AI deployments.
Why it matters
AI is now essential for businesses, with 75% of organizations saying AI is key to their strategy2 and 65% successfully moving AI projects into production.3 However, challenges like data quality, security concerns and high costs can slow progress.
The Dell AI Factory approach can be up to 62% more cost effective for inferencing LLMs on-premises than the public cloud4 and helps organizations securely and easily deploy enterprise AI workloads at any scale. Dell offers the industry's most comprehensive AI portfolio designed for deployments across client devices, data centers, edge locations and clouds.5 More than 3,000 global customers across industries are accelerating their AI initiatives with the Dell AI Factory.6
Dell infrastructure advancements help organizations deploy and manage AI at any scale
Dell introduces end-to-end AI infrastructure to support everything from edge inferencing on an AI PC to managing massive enterprise AI workloads in the data center.
Dell Pro Max AI PC delivers industry's first enterprise-grade discrete NPU in a mobile form factor7
The Dell Pro Max Plus laptop with Qualcomm® AI 100 PC Inference Card is the world's first mobile workstation with an enterprise-grade discrete NPU.8 It offers fast and secure on-device inferencing at the edge for large AI models typically run in the cloud, such as today's 109-billion-parameter model.
The Qualcomm AI 100 PC Inference Card features 32 AI-cores and 64 GB memory, providing power to meet the needs of AI engineers and data scientists deploying large models for edge inferencing.
Dell redefines AI cooling with innovations that reduce cooling energy costs by up to 60%9
The industry-first Dell PowerCool Enclosed Rear Door Heat Exchanger (eRDHx) is a Dell-engineered alternative to standard rear door heat exchangers. Designed to capture 100% of IT heat generated with its self-contained airflow system, the eRDHx can reduce cooling energy costs by up to 60%10 compared to currently available solutions.
With Dell's factory integrated IR7000 racks equipped with future-ready eRDHx technology, organizations can:
Significantly cut costs and eliminate reliance on expensive chillers given the eRDHx operates with water temperatures warmer than traditional solutions (between 32 and 36 degrees Celsius).
Maximize data center capacity by deploying up to 16% more racks 11 of dense compute, without increasing power consumption.
of dense compute, without increasing power consumption. Enable air cooling capacity up to 80 kW per rack for dense AI and HPC deployments. 12
Minimize risk with advanced leak detection, real-time thermal monitoring and unified management of all rack-level components with the Dell Integrated Rack Controller.
Dell PowerEdge servers with AMD GPUs maximize performance and efficiency
Dell PowerEdge XE9785 and XE9785L servers will support AMD Instinct™ MI350 series GPUs, which offer 288 GB of HBM3E memory per GPU and deliver up to 35 times greater13 inferencing performance.14 Available in liquid-cooled and air-cooled configurations, the servers will reduce facility cooling energy costs.
Dell advancements power efficient and secure AI deployments and workflows
Because AI is only as powerful as the data that fuels it, organizations need a platform designed for performance and scalability. The Dell AI Data Platform updates improve access to high quality structured, semi-structured and unstructured data across the AI lifecycle.
Dell Project Lightning is the world's fastest parallel file system per new testing, delivering up to two times greater throughput than competing parallel file systems. 15 Project Lightning will accelerate training time for large-scale and complex AI workflows.
is the world's fastest parallel file system per new testing, delivering up to two times greater throughput than competing parallel file systems. Project Lightning will accelerate training time for large-scale and complex AI workflows. Dell Data Lakehouse enhancements simplify AI workflows and accelerate use cases — such as recommendation engines, semantic search and customer intent detection — by creating and querying AI-ready datasets.
'We're excited to work with Dell to support our cutting-edge AI initiatives, and we expect Project Lightning to be a critical storage technology for our AI innovations,' said Dr. Paul Calleja, director, Cambridge Open Zettascale Lab and Research Computing Services, University of Cambridge.
With additional portfolio advancements, organizations can:
Lower power consumption, reduce latency and boost cost savings for high performance computing (HPC) and AI fabrics with Dell Linear Pluggable Optics .
. Increase trust in the security of their AI infrastructure and solutions with Dell AI Security and Resilience Services, which provide full stack protection across AI infrastructure, data, applications and models.
Dell expands AI partner ecosystem with customizable AI solutions and applications
Dell is collaborating with AI ecosystem players to deliver tailored solutions that simply and quickly integrate into organizations' existing IT environments. Organizations can:
Enable intelligent, autonomous workflows with a first-of-its-kind on-premises deployment of Cohere North , which integrates various data sources while ensuring control over operations.
, which integrates various data sources while ensuring control over operations. Securely run scalable AI agents and enterprise search on-premises with Glean . Dell and Glean's collaboration will deliver the first on-premises deployment architecture for Glean's Work AI platform. 16
. Dell and Glean's collaboration will deliver the first on-premises deployment architecture for Glean's Work AI platform. Innovate where the data is with Google Gemini and Google Distributed Cloud on-premises available on Dell PowerEdge XE9680 and XE9780 servers.
and Google Distributed Cloud on-premises available on Dell PowerEdge XE9680 and XE9780 servers. Prototype and build agent-based enterprise AI applications with Dell AI Solutions with Llama, using Meta's latest Llama Stack distribution and Llama 4 models.
latest Llama Stack distribution and Llama 4 models. Build and deploy secure, customizable AI applications and knowledge management workflows with solutions jointly engineered by Dell and Mistral AI.
The Dell AI Factory also expands to include:
Advancements to the Dell AI Platform with AMD add 200G of storage networking and an upgraded AMD ROCm open software stack for organizations to simplify workflows, support LLMs and efficiently manage complex workloads. Dell and AMD are collaborating to provide Day 0 support and performance optimized containers for AI models such as Llama 4.
add 200G of storage networking and an upgraded AMD ROCm open software stack for organizations to simplify workflows, support LLMs and efficiently manage complex workloads. Dell and AMD are collaborating to provide Day 0 support and performance optimized containers for AI models such as Llama 4. The new Dell AI Platform with Intel helps enterprises deploy a full stack of high performance, scalable AI infrastructure with Intel® Gaudi® 3 AI accelerators.
Dell also announced advancements to the Dell AI Factory with NVIDIA and updates to Dell NativeEdge to support AI deployments and inferencing at the edge.
Perspectives
'It has been a non-stop year of innovating for enterprises, and we're not slowing down. We have introduced more than 200 updates to the Dell AI Factory since last year,' said Jeff Clarke, chief operating officer, Dell Technologies. 'Our latest AI advancements — from groundbreaking AI PCs to cutting-edge data center solutions — are designed to help organizations of every size to seamlessly adopt AI, drive faster insights, improve efficiency and accelerate their results.'
'We leverage the Dell AI Factory for our oceanic research at Oregon State University to revolutionize and address some of the planet's most critical challenges,' said Christopher M. Sullivan, director of Research and Academic Computing for the College of Earth, Ocean and Atmospheric Sciences, Oregon State University. 'Through advanced AI solutions, we're accelerating insights that empower global decision-makers to tackle climate change, safeguard marine ecosystems and drive meaningful progress for humanity.'
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

IBM Report: Data Breach Costs Drop 18% in the Middle East, Reaching SAR 27 Million in 2025
IBM Report: Data Breach Costs Drop 18% in the Middle East, Reaching SAR 27 Million in 2025

Web Release

time32 minutes ago

  • Web Release

IBM Report: Data Breach Costs Drop 18% in the Middle East, Reaching SAR 27 Million in 2025

IBM (NYSE:IBM) released its 2025 Cost of a Data Breach Report, revealing that the average cost of a data breach for businesses in the Middle East reached SAR 27.00 million. This represents a decrease of approximately 18% from SAR 32.80 million the year prior. According to the report, the top three factors that reduced breach costs for local businesses were AI/ML-driven insights, encryption and a DevSecOps approach. In the Middle East, lost business remained the largest cost category in 2025, averaging SAR 11.63 million per breach. This was followed by post-breach response costs at SAR 7.50 million, detection and escalation at SAR 6.55 million, and notification costs at SAR 1.32 million. While overall breach costs have declined this year, these figures underscore the continued financial strain organizations face across the entire breach lifecycle — from discovery to containment. Certain sectors continued to face significantly high breach costs in 2025. This year, the financial sector recorded the highest total breach cost reaching SAR 34.00 million, followed closely by energy and industrial at SAR 32.00 million. 'It is encouraging to see a meaningful decline in the cost of data breaches in the Middle East this year. It is no coincidence that a region with some of the world's boldest AI ambitions is also seeing less costly breaches. As organizations accelerate the adoption of AI-driven tools for security, they are improving their ability to detect and contain threats before they escalate. But as attackers grow more sophisticated, continued investment in AI-driven security tools, security talent, and AI governance tools will be essential to sustaining this momentum,' said Saad Toma, General Manager of IBM Middle East and Africa. Other key findings in the 2025 IBM report for the Middle East include: Mitigating risks of AI model attacks – To reduce the risk of attacks on AI models, organizations in the Middle East are most commonly implementing access controls on AI systems (41%). By contrast, just 3% of breached organizations globally had such controls in place, highlighting the region's more proactive approach to securing and governing AI. – To reduce the risk of attacks on AI models, organizations in the Middle East are most commonly implementing access controls on AI systems (41%). By contrast, just 3% of breached organizations globally had such controls in place, highlighting the region's more proactive approach to securing and governing AI. AI governance adoption – 38% of surveyed organizations reported having formal AI governance policies in place, with an additional 24% starting to develop them. For those with policies in place, the most common elements include strict approval processes for AI deployments (45%), adversarial testing (44%) and the use of AI governance technology (43%). – 38% of surveyed organizations reported having formal AI governance policies in place, with an additional 24% starting to develop them. For those with policies in place, the most common elements include strict approval processes for AI deployments (45%), adversarial testing (44%) and the use of AI governance technology (43%). Factors that increase costs – Organizations with security system complexity incurred an average additional cost of SAR 867,378. Breaches affecting IoT or OT environments added SAR 839,750, while security staff shortages raised costs by SAR 818,997 on average. – Organizations with security system complexity incurred an average additional cost of SAR 867,378. Breaches affecting IoT or OT environments added SAR 839,750, while security staff shortages raised costs by SAR 818,997 on average. Top initial attack vectors – The most common initial causes of data breaches in 2025 were third-party vendor and supply chain compromise, which account for 17% of incidents and carried an average cost of 29.60 million. Denial of service attacks and phishing each made up 14% of breaches, with average costs of SAR 27.20 million and SAR 28.00 million respectively. Malicious insider threats, while slightly less frequent at 11%, resulted in the highest average cost at SAR 33.00 million. The 2025 Cost of a Data Breach Report analyzed real-world data breaches from over 600 organizations worldwide from March 2024 through February 2025, including organizations from Saudi Arabia and the United Arab Emirates. Conducted by Ponemon Institute and sponsored and analyzed by IBM, the Cost of a Data Breach Report has investigated nearly 6,500 data breaches over the past 20 years. Additional Sources

I now hunt for winner ideas in global real estate!
I now hunt for winner ideas in global real estate!

Arabian Post

timean hour ago

  • Arabian Post

I now hunt for winner ideas in global real estate!

Matein Khalid While Marjan Island day trips with Amore mio Donna Farah hardly makes me nostalgic for my singleton era visits to Vegas and college boy trips to the odious Trump Plaza/Taj Mahal casinos in Atlantic City, I have no problem taking a flutter on Wynn when it traded at 12X earnings since the free cash flow yield is a more reliable proxy for a money making trade than the capricious whims of Lady Luck. This is why the casino action now moves to Las Vegas Sands (LVS). 2Q results were a blowout last week. Macau and Singapore are both on a roll and LVS capex in both its key Asian properties is now done. The Londoner resort has helped goose Macau market share while Bob Goldstein has hit a sixer (us colonials chaps do cricket metaphors duckies!) in Marina Bay Sands down in the Lion City. No wonder LVS shares are up 8% in the last week and 20% in the last month. This seems almost as good as the insiders who hit multiple home runs when Marjan Island morphed from a busted SRK Bollywood theme park to the first wannabe casino in the Gulf. As for moi, if a hotel/casino is not listed on the NYSE, i will never buy into the story, though do let me know if the La Belle Époque beauty at the Place Casino in Monte Carlo that did not let Manju and I since we were wearing jeans ever floats on the stock exchange, I will gladly turn cartwheels and take a punt on this mother of all trophy assets. My current buy price on LVS is 45-56. Ce n'est pas le moment de jouer LVS. ADVERTISEMENT US homebuilder shares have been mired in a painful bear market, down 17% on the sector tracker ITB in the past year. The Powell Fed's refusal to slash rates means 7% mortgage rates deter new buyers while Trump's tariff threats against Canada and deportation of untold million illegal immigrants suggests the cost of lumber and construction/wages moves higher. Copper tariffs will also raise plumbing costs and the price of imported Carrara marble from Toscana in La Bella Italia is also spiking higher. I do not have any interest in zombie real estate sectors du jour and have zero exposure to US homebuilders for now. Demand smells just as sweet as a garbage dump. Builders will continue to cut prices and miss on margins/guidance, though DR Horton did not. Supply is rising and the job market just faces too many crevices. Mortgage rates will not fall big time unless the US economy slips into recession when builder shares get sandbagged and only the shorts will make money in the debris. In private real estate, I believe the best risk/reward lies in buildings that rent to doctor owned outpatient clinics, where tailwinds are rich but aging Baby Boomer demographics and shifts from nosebleed hospitals will boost rental growth. Supply is at 40% of cycle peak while the occupancy rate is 95%. Yummykins! I hear the Hippocratic Oath has now been repealed in the Gulf as our private equity financiers insist that doctors should optimize revenues via uncessassary extra procedures/tests/surgeries in order to make the hospital's cash register ring, yella-yella-kaching-kaching. I do not know whether to laugh or to cry after I had lunch with a friend who had lived through the horror show of the Abraaj healthcare fraud and Al Masah's Dash It All and Drop Dead medical platform. In the UK, student housing is no longer as grotty as it was in my time, the reason I fled to America. In fact, I was amazed at the uber luxury facilities I visited in the sceptred isle though only for students who happened to be Chinese, the offspring of CCP honchos and drive to uni in their Lambos and Ferraris, vroom vroom… Seriously, there is a chronic shortage of student flats in London and other UK cities, so Jon Gray at Blackstone is on the right track, as he was in the Hilton LBO. Senior Housing and acute care will remain a profitable theme since the supply demand equation is so skewed in the landlord's favour, the reason my fave US REIT apart from the data center guys is now Welltower (WELL). REITs provide me with income when long duration bonds stink as well as an ideal inflation hedge and low correlation to global equities at a time when US valuation metrics are at cycle peaks at 22 times forward earnings and a zero equity risk premium. I was born at night, only not last night. ADVERTISEMENT Also published on Medium. Notice an issue? Arabian Post strives to deliver the most accurate and reliable information to its readers. If you believe you have identified an error or inconsistency in this article, please don't hesitate to contact our editorial team at editor[at]thearabianpost[dot]com. We are committed to promptly addressing any concerns and ensuring the highest level of journalistic integrity.

UAE Tech Leaders Prioritize Cloud and AI Skills Growth
UAE Tech Leaders Prioritize Cloud and AI Skills Growth

TECHx

time3 hours ago

  • TECHx

UAE Tech Leaders Prioritize Cloud and AI Skills Growth

Home » Emerging technologies » Cloud Computing » UAE Tech Leaders Prioritize Cloud and AI Skills Growth A majority of UAE tech leaders have identified cloud (93%) and Generative AI (GenAI) (89%) transformation as top business priorities for the next three years. This was revealed in a new global study by Coursera, Inc. (NYSE: COUR), developed in partnership with Amazon Web Services (AWS). Titled From Cloud to AI: How Tech Leaders are Investing in Skills Development to Drive Transformation , the report offers insights into how organizations are addressing skills gaps to meet digital transformation goals. The report found that 61% of UAE tech leaders see keeping pace with technology as a critical driver of skills development. Meanwhile, 60% cited staying ahead of security threats. Other key concerns include optimizing cloud spend (59%) and managing complex infrastructures (52%). Kais Zribi, General Manager for the Middle East and Africa at Coursera, said strategic investments in upskilling and reskilling are crucial for driving innovation. He emphasized that while automation is transforming business operations, investing in people remains essential. Coursera reported that: 95% of global tech leaders consider cloud transformation a key business goal. 63% ranked cloud skills, such as development and engineering, as most critical. Data (58%), cybersecurity (54%), and AI (47%) skills followed closely in priority. Additionally, 52% of global tech leaders expect 30–50% of tasks to be automated. Nearly all (99%) anticipate their codebases will be at least partially developed using AI within three years. However, 88% believe human input remains irreplaceable, highlighting the need for talent development. Coursera noted that 77% of leaders globally believe upskilling existing employees is essential to achieving transformation goals in the next 12 to 18 months. The global study covered tech leaders from the US, UK, India, UAE, France, and Mexico. It included over 750 participants managing digital transformation efforts in organizations with over 1,000 employees and annual revenues above US$100 million. UAE companies surveyed reported an average annual revenue of US$21.6 billion.

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