Tech News
Hewlett Packard Enterprise and NVIDIA Announce ‘NVIDIA AI Computing by HPE’ to Accelerate Generative AI Industrial Revolution
Hewlett Packard Enterprise and NVIDIA announced NVIDIA AI Computing by HPE, a portfolio of co-developed AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of generative AI.
Among the portfolio’s key offerings is HPE Private Cloud AI, a first-of-its-kind solution that provides the deepest integration to date of NVIDIA AI computing, networking and software with HPE’s AI storage, compute and the HPE GreenLake cloud. The offering enables enterprises of every size to gain an energy-efficient, fast, and flexible path for sustainably developing and deploying generative AI applications. Powered by the new OpsRamp AI copilot that helps IT operations improve workload and IT efficiency, HPE Private Cloud AI includes a self-service cloud experience with full lifecycle management and is available in four right-sized configurations to support a broad range of AI workloads and use cases.
All NVIDIA AI Computing by HPE offerings and services will be available through a joint go-to-market strategy that spans sales teams and channel partners, training and a global network of system integrators — including Deloitte, HCLTech, Infosys, TCS and Wipro — that can help enterprises across a variety of industries run complex AI workloads.
Announced during the HPE Discover keynote by HPE President and CEO Antonio Neri, who was joined by NVIDIA founder and CEO Jensen Huang, NVIDIA AI Computing by HPE marks the expansion of a decades-long partnership and reflects the substantial commitment of time and resources from each company.
“Generative AI holds immense potential for enterprise transformation, but the complexities of fragmented AI technology contain too many risks and barriers that hamper large-scale enterprise adoption and can jeopardize a company’s most valuable asset – its proprietary data,” said Neri. “To unleash the immense potential of generative AI in the enterprise, HPE and NVIDIA co-developed a turnkey private cloud for AI that will enable enterprises to focus their resources on developing new AI use cases that can boost productivity and unlock new revenue streams”.
“Generative AI and accelerated computing are fueling a fundamental transformation as every industry races to join the industrial revolution,” said Huang. “Never before have NVIDIA and HPE integrated our technologies so deeply – combining the entire NVIDIA AI computing stack along with HPE’s private cloud technology – to equip enterprise clients and AI professionals with the most advanced computing infrastructure and services to expand the frontier of AI.”
HPE and NVIDIA co-developed Private Cloud AI portfolio
HPE Private Cloud AI delivers a unique, cloud-based experience to accelerate innovation and return on investment while managing enterprise risk from AI. The solution offers:
● Support for inference, fine-tuning and RAG AI workloads that utilize proprietary data.
● Enterprise control for data privacy, security, transparency, and governance requirements.
● Cloud experience with ITOps and AIOps capabilities to increase productivity.
● Fast path to consume flexibly to meet future AI opportunities and growth.
Curated AI and data software stack in HPE Private Cloud AI
The foundation of the AI and data software stack starts with the NVIDIA AI Enterprise software platform, which includes NVIDIA NIM inference microservices.
NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production-grade copilots and other GenAI applications. Included with NVIDIA AI Enterprise, NVIDIA NIM delivers easy-to-use microservices for optimized AI model inferencing offering a smooth transition from prototype to secure deployment of AI models in a variety of use cases.
Complementing NVIDIA AI Enterprise and NVIDIA NIM, HPE AI Essentials software delivers a ready to run set of curated AI and data foundation tools with a unified control plane that provide adaptable solutions, ongoing enterprise support, and trusted AI services, such as data and model compliance and extensible features that ensure AI pipelines are in compliance, explainable and reproducible throughout the AI lifecycle.
To deliver optimal performance for the AI and data software stack, HPE Private Cloud AI delivers a fully integrated AI infrastructure stack that includes NVIDIA Spectrum-X Ethernet networking, HPE GreenLake for File Storage and HPE ProLiant servers with support for NVIDIA L40S, NVIDIA H100 NVL Tensor Core GPUs and the NVIDIA GH200 NVL2 platform.
Cloud experience enabled by HPE GreenLake cloud
HPE Private Cloud AI offers a self-service cloud experience enabled by HPE GreenLake cloud. Through a single, platform-based control plane, HPE Greenlake cloud services provide manageability and observability to automate, orchestrate and manage endpoints, workloads, and data across hybrid environments. This includes sustainability metrics for workloads and endpoints.
HPE GreenLake cloud and OpsRamp AI infrastructure observability and copilot assistant
OpsRamp’s IT operations are integrated with HPE GreenLake cloud to deliver observability and AIOps to all HPE products and services. OpsRamp now provides observability for the end- to- end NVIDIA accelerated computing stack, including NVIDIA NIM and AI software, NVIDIA Tensor Core GPUs and AI clusters as well as NVIDIA Quantum InfiniBand and NVIDIA Spectrum Ethernet switches. IT administrators can gain insights to identify anomalies and monitor their AI infrastructure and workloads across hybrid, multi-cloud environments.
The new OpsRamp operations copilot utilizes NVIDIA’s accelerated computing platform to analyze large datasets for insights with a conversational assistant, boosting productivity for operations management. OpsRamp will also integrate with CrowdStrike APIs so customers can see a unified service map view of endpoint security across their entire infrastructure and applications.
Accelerate time to value with AI – expanded collaboration with global system integrators
To advance the time to value for enterprises to develop industry-focused AI solutions and use cases with clear business benefits, Deloitte, HCLTech, Infosys, TCS and WIPRO announced their support of the NVIDIA AI Computing by HPE portfolio and HPE Private Cloud AI as part of their strategic AI solutions and services.
HPE adds support for NVIDIA’s latest GPUs, CPUs and Superchips
● HPE Cray XD670 supports eight NVIDIA H200 NVL Tensor Core GPUs and is ideal for LLM builders.
● HPE ProLiant DL384 Gen12 server with NVIDIA GH200 NVL2 is ideal for LLM consumers using larger models or RAG.
● HPE ProLiant DL380a Gen12 server support for up to eight NVIDIA H200 NVL Tensor Core GPUs is ideal for LLM users looking for flexibility to scale their GenAI workloads.
● HPE will be time-to-market to support the NVIDIA GB200 NVL72 / NVL2, as well as the new NVIDIA Blackwell, NVIDIA Rubin and NVIDIA Vera architectures.
High-density file storage certified for NVIDIA DGX BasePOD and NVIDIA OVX systems
HPE GreenLake for File Storage has achieved NVIDIA DGX BasePOD certification and NVIDIA OVX™ storage validation, providing customers with a proven enterprise file storage solution for accelerating AI, GenAI and GPU-intensive workloads at scale. HPE will be a time-to-market partner on upcoming NVIDIA reference architecture storage certification programs.
Availability
● HPE Private Cloud AI is expected to be generally available in the fall.
● HPE ProLiant DL380a Gen12 server with NVIDIA H200 NVL Tensor Core GPUs is expected to be generally available in the fall.
● HPE ProLiant DL384 Gen12 server with dual NVIDIA GH200 NVL2 is expected to be generally available in the fall.
● HPE Cray XD670 server with NVIDIA H200 NVL is expected to be generally available in the summer.
Tech News
The Executive Health Upgrade: Why Personalized Prevention Is the UAE’s Next Premium Category
How Prana AI + SindyXR Want to Make Personalized Health Routine in the UAE
By Integrator Web Editor

Most healthcare is built for emergencies. But the biggest risks to long-term health often develop quietly—sleep debt, metabolic drift, chronic stress, early cardiovascular strain. Prana AI and SindyXR are building a UAE-first model that treats health like a modern dashboard: establish your baseline, detect drift early, and guide course-correction through an AI “longevity OS” paired with concierge support.
The UAE is rapidly becoming a proving ground for next-generation, consumer-friendly health models that blend premium services with data-driven personalization. This article explores a shift underway in Dubai and the wider Emirates: moving from reactive, appointment-led care toward continuous, proactive “health operating systems.” Prana AI and SindyXR are among the emerging players aiming to productize prevention—making personal health measurable, understandable, and easier to follow through on.
“Most healthcare is built for emergencies. Personalized health is built for trajectory.” – Christopher M. Hill, Board Chair, President, and CEO of SindyXR
From Firefighting to Flight-Checking
Most of us treat health like a fire alarm: we respond when it’s loud enough to ignore. A symptom appears, we book an appointment, get a prescription or advice, and move on. That model isn’t “bad”—it’s just built for a different job.
Reactive healthcare is excellent at handling acute problems. But the biggest threats to long-term wellbeing often don’t arrive with sirens. They creep in quietly: chronic stress patterns, sleep erosion, metabolic instability, early cardiovascular risk, burnout. By the time something becomes obvious, the fix is harder, slower, and more expensive.
This is why “personalized health”—often described as preventive, longevity-focused, or precision wellness—is accelerating globally. The promise is simple and non-medical: know your baseline, track changes over time, and act early with clarity.
In the UAE, where performance, pace, global mobility, and high expectations are everyday realities, that promise is especially relevant. People want health experiences that match how they actually live: fast, discreet, premium, and practical—with minimal friction and real follow-through.
Personalized Health, Explained Without the White Coat
Personalized health doesn’t require a medical degree to understand. It’s a system that does four things well:
- Establishes your baseline — a clear snapshot of how your body is functioning today.
- Detects drift over time — what’s improving, what’s stuck, what’s slipping.
- Translates data into action — simple, tailored steps you can actually do.
- Keeps you consistent — so improvements don’t fade after a “good month.”
The goal isn’t perfection. It’s trajectory. You’re not trying to “win health.” You’re trying to reduce risk and increase resilience—month after month.
“Think of it as a health command center: baseline, drift detection, and guided course-correction.” – Charles Cavo, DO Co-founder, Pounds Transformation
Why the UAE Is Ready for This Category
Dubai and the wider UAE are fertile ground for this model for three reasons:
- High intent: Many professionals already invest in fitness, nutrition, mental performance, recovery, and longevity practices.
- High friction: Even motivated people struggle to stay consistent when travel, deadlines, and family responsibilities pile up.
- High expectations: Premium experience isn’t a “nice to have” in the UAE; it’s a baseline for adoption.
Most people don’t need more information. They need a system that makes follow-through easier than falling off track.
That’s the core thesis behind Prana AI + SindyXR: the real disruption isn’t “one more health test.” It’s a repeatable operating model around the person that converts insight into sustained action.
Prana AI + SindyXR: A Hybrid ‘Longevity Concierge’ Built for Busy Lives
The Prana AI + SindyXR approach can be understood as three layers working together—each solving a different part of the real-world problem.
Layer 1: Precision diagnostics (the baseline)
This is the “what’s happening inside my body?” layer—advanced diagnostics designed to establish a meaningful baseline across key health domains. Not just a basic annual check, but a deeper view intended to help identify risk patterns early and prioritize what matters now.
Crucially, the output has to be readable, not intimidating: scores, trends, and plain-language insights that allow non-medical professionals to understand what they should focus on—without getting buried in numbers.
Layer 2: Prana AI as the Personal Longevity OS (the daily system)
This is where personalization becomes real. Many wellness apps can nudge, but they often lack context—your baseline and your changes over time.
Prana AI’s role is to function like a health command center:
- Daily routines that fit real schedules (sleep, movement, recovery, nutrition prompts)
- Wearable integration where available (to track trends, not obsess over single readings)
- Progress tracking that emphasizes trajectory (what’s changing, what isn’t)
- Quarterly and annual comparisons to identify drift early
The design intent is simple: reduce decisions. When people are busy, friction kills follow-through. The “OS” needs to feel like a co-pilot—not a second job.
Layer 3: SindyXR concierge + expert ecosystem (the follow-through engine)
The uncomfortable truth about health is that many people already know what to do. The problem is friction:
- booking
- scheduling
- follow-up
- accountability
- decision fatigue
SindyXR’s concierge layer aims to handle the “life admin” of better health—connecting users to curated experts, creating structured sessions, enabling community learning (webinars and roundtables), and coordinating next steps so momentum doesn’t fade.
This is the difference between:
- “I should do something about this,” and
- “It’s scheduled, guided, and underway.”
“The innovation isn’t one more test—it’s the operating model around the person.” – Sumit Puri, CEO & Co-Founder, Prana AI
The Closed Loop Most Health Experiences Don’t Deliver
Here’s what separates a premium testing service from a real system: the loop.
Most offerings stop at “test + report.” Some add “test + report + generic advice.”
The Prana AI + SindyXR model is designed to deliver a full cycle:
In other words:
- you don’t just learn your numbers,
- you change the trajectory, and
- you prove it over time.
That loop is the true product: a repeatable “operating model” for personal health.
Who It’s For First: The Executive Longevity Circle
The initial positioning is clear: this is built for people who are time-poor, performance-driven, and outcome-focused—CXOs, founders, board-level leaders, and globally mobile professionals (often 45+).
It’s a pragmatic wedge. High-touch membership models can:
- protect quality while the system is refined,
- build trust through experience rather than marketing,
- generate credible outcomes stories (the only marketing that matters in health).
From there, the model can expand into broader segments and partnerships—especially in an environment like the UAE where premium experience and measurable outcomes are powerful adoption catalysts.
The Trust Test: No Magic Claims, Just Clear Guardrails
AI in health is powerful—and sensitive. Adoption depends on trust:
- What is informational vs diagnostic?
- How is data stored and consent managed?
- How are recommendations explained?
- Where does clinician oversight come in?
The healthiest framing is simple: AI doesn’t replace doctors. It reduces noise, spots patterns, and improves follow-through. It helps people act earlier, more consistently, and with fewer blind spots.
What Success Looks Like in the UAE
If Prana AI + SindyXR execute well, the UAE could become a flagship market for a new category: personalized preventive health that feels as seamless as concierge banking.
Success won’t be measured by how “advanced” the tech sounds. It will be measured by:
- consistent engagement over months (not weeks),
- measurable improvement in key markers,
- fewer health surprises,
- better energy, sleep, recovery, and resilience.
Because the future of health won’t be another appointment.
It will be a smarter system around you—quietly keeping you on course.
“The UAE is uniquely positioned to lead this shift: people here value time, discretion, and outcomes. Personalized health will win when it feels as seamless as concierge banking—and as measurable as a performance dashboard.” – Subrato Basu, Global Managing Partner, The Executive Board
Tech News
AL OSTAD PALLET FACTORY APPOINTS ZAYSTACK INTELLIZENCE TO ADVISE ON DIGITISATION AND AUTOMATION PROGRAMME
Process digitalisation programme set to create another industry benchmark for Dubai Industrial City-headquartered Al Ostad Pallet Factory

Al Ostad Pallet Factory, based in Dubai Industrial City, has appointed ZayStack Intellizence to deliver a groundbreaking programme to digitise and automate core business processes across sales, procurement, production, inventory, and delivery.
Under the agreement, ZayStack will support an initial three-month phase focused on “quick wins and foundations”, including current-state assessment, process mapping and advanced software and AI tool recommendations. The project will also see rollout of practical templates, dashboards and minimum viable automations, designed to improve visibility and accountability across operations.
The recently inked agreement is part of Al Ostad’s continuing evolution, ensuring it keeps delivering value to its ever-growing customer base, building on more than 25 years in business with strong investment in the technology-driven future of the logistics sector.
The engagement aims to help Al Ostad reduce manual, person-dependent workflows and move towards a more digitally enabled, data-driven operating model that supports long-term growth, improved decision-making, and stronger customer communication. The project will help employees understand how to use cutting-edge AI tools to increase productivity.
Alex George, Managing Director, Al Ostad Pallet Factory, said: “Al Ostad Pallet Factory has grown on the strength of operational know-how and a hands-on approach. Now, we need to ensure our team is AI prepared, and that we all understand how to make best use of AI across our business.
“This programme is about putting the right digital foundations in place so we can improve visibility, reduce friction in day-to-day workflows, and scale with confidence, all while continuing to deliver reliably for our customers.”
Alex is keen to implement cutting-edge technologies at his 8,000 square meter DIC manufacturing facility, and is intent on becoming “best in class” for logistics and packaging solutions, aiming for the number one position regionally.
“We’re on track,” Alex says with confidence. “It’s about being ready for the future – a future where technology, sustainability, and supply chain resilience define the leaders in manufacturing. We want to be at the forefront of that shift.”
Alex believes the new workflows Zaystack will deliver will create a new industry benchmark in the region.
Tarun Malik, Partner, ZayStack Intellizence LLP, said: “Manufacturing businesses don’t need ‘digital’ for its own sake, they need practical systems that improve speed, accuracy and accountability. We’ll be working closely with Al Ostad to identify critical workflows and establish the dashboards, templates and ‘intelligent’ automation foundations that support sustainable, long-term adoption.”
The programme also includes a review of document management and IT readiness (hardware and network), with training and change-management support to help teams adopt new ways of working.
Tech News
BOLT GAINS GROWTH MOMENTUM AS 1,823 NATIONAL TAXIS JOIN PLATFORM

Marking another milestone towards shaping the future of urban mobility in the UAE, Dubai Taxi Company (DTC), together with its strategic partner Bolt, has entered into a strategic alliance with National Taxi LLC to enhance the ride-hailing experience for residents and visitors across Dubai.
The partnership was formalised through the signing of an agreement between Mansoor Rahma Alfalasi, CEO of Dubai Taxi Company, and Toufic Mitri, Managing Director of National Taxi LLC, marking a significant milestone in Dubai’s journey toward smarter, more accessible, and customer-centric transport solutions.
Under the agreement, 1,823 National Taxi vehicles will be seamlessly integrated into the Bolt platform, significantly expanding fleet capacity and service coverage. The integration will increase availability, reduce waiting times, and enhance overall operational efficiency, delivering faster ETAs and a more reliable customer experience, particularly during peak periods. The expanded fleet also supports higher driver earnings through increased trip volumes, while reinforcing Bolt’s position as a trusted and growing e-hailing platform in Dubai.

Mansoor Rahma Alfalasi, CEO of Dubai Taxi Company, said: “At DTC, we are committed to building strategic partnerships that enhance customer experience while strengthening Dubai’s mobility ecosystem. Through this collaboration, and with the addition of National taxis to our existing fleet of over 10,000 taxis on the Bolt platform, we are expanding access to taxis and embedding them more deeply into the digital ride-hailing experience. This integration brings us closer to reaching 80 percent target set by Dubai Government of converting street hailing trips to e-hailing.”
“The growing demand for taxi services in Dubai is being driven by rapid digital transformation, sustained urbanisation, strong tourism growth, and ongoing fleet modernisation, key pillars of a thriving city’s economy. By aligning our services with these drivers, we are building a resilient, future-ready mobility network that supports economic growth, improves driver opportunities, and delivers seamless journeys for residents and visitors alike.”, he added.
“We are glad to have our fleet of 1823 taxis on one of the UAE’s leading e-hailing platforms, Bolt. This partnership represents a significant step forward in optimising fleet utilisation and enhancing operational efficiency. With the smart technology and real-time demand matching capabilities of the Bolt platform, we are able to reduce idle time, improve driver productivity, and deliver faster, more reliable service to customers. Beyond efficiency, this collaboration enables us to elevate service quality while supporting more sustainable mobility through better route optimisation and reduced unnecessary mileage.”, said Toufic Mitri, Managing Director of National Taxi LLC.
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