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
Nothing Raises $200M Series C to Power the Next Phase of Consumer AI

Today, we’re announcing new funding––USD $200M in our Series C round at a USD $1.3B valuation. This milestone marks the start of our next phase: From being the only independent smartphone company to emerge in the last decade, towards building an AI-native platform in which hardware and software converge into a single intelligent system.

Building the foundations for the future
When we started Nothing, we had a thesis that if we could build a smartphone business at scale and own the last-mile distribution point in consumer tech, we would be well-positioned for the next technology shift. Although we didn’t know what that would look like at the time, the opportunity is now crystal clear.
From the start, we knew that the foundation had to be an end-to-end value chain
capable of delivering products at speed, scale, and quality. As we’ve seen from many others that have tried, building a hardware company is hard. There are many potential failure points and almost no room for error. For us, it required assembling a team that balanced a pragmatic approach of rapidly launching products, with an innovative mindset to deliver experiences that our community would immediately love.
Today, the foundations are firmly in place. From award-winning design, to our global manufacturing and supply chain network built for quality and cost. In four years, we have shipped millions of devices, began 2025 crossing $1B+ in total sales, while growing 150% in 2024.
Building this infrastructure has been the hardest and most valuable thing we’ve done so far. With the support of our community, we’re fortunate to have made it here. Today, we’re in a position that will be very hard to copy: The ability to launch any consumer hardware product from start to finish within months, go-to-market operations that can ship and service worldwide, a global user community that co-creates with us, all without the innovator’s dilemma or bureaucratic constraints that the incumbents face. On to chapter 2.
Operating systems, evolved
In the last 18 years, the smartphone became ubiquitous. It is the primary personal computing tool to manage the countless tasks of daily life. Beyond its distribution scale, what makes the smartphone the most powerful consumer device in the market is its unmatched access to contextual information and user knowledge. For this reason, I believe the smartphone will remain one of the most important devices in the AI era.
On the other hand, while AI has made revolutionary progress in the last three years, the smartphone experience has barely evolved. Most of the innovation has been underwhelming, limited to incremental improvements in photo editing, translations, and assistant features that barely work.
For AI to reach its full potential, consumer hardware must reinvent itself alongside it. This is the opportunity we see for Nothing. We see a future where operating systems are significantly different from the ones today. Each system will know its user deeply, and be hyper-personalised to each individual. Interfaces will adapt to our context and needs. Suggestions will surface naturally, and once we confirm an intent, agents will execute on our behalf. The system will handle the non-essential for us, allowing us to focus on what truly matters, which will be different for every person. Unlike today’s one-size-fits-all solution, a billion different operating systems will be rendered for a billion different people.
Over time, this OS will be transversal across all form factors: We’re starting with smartphones, audio products and smart watches, devices that people already use every day. In the future, our OS will carry into smart glasses, humanoid robots, EVs, and whatever comes next.
Why we are uniquely-positioned to create this future: Owning the last-mile distribution point with all its contextual and user knowledge is essential to developing an OS that will help people in their daily lives. An AI OS that doesn’t know its user and isn’t ever-present can’t deliver a hyper-personalised experience. This is the next chapter for Nothing, integrating an AI experience into our hardware devices to reinvent how technology amplifies us.
The next billion unit scale product
In the near-term, we believe that the smartphone will remain the only device shipping at billion-unit scale each year. But soon, we’ll all be carrying an additional device that will be just as important. In the coming years, we’ll learn that the more context we can feed our AI, the more useful it becomes. The smartphone, while powerful, can’t always be there for us. Sometimes it’s in our pocket, or we might be on the move with our hands full.
A new class of AI-native devices will emerge. Products that are available to the user at the moment of need, paired with intelligence that turns understanding into action. This is a very exciting time, imagining devices that capture context across modalities and generate interfaces on demand, shaped by what the user is trying to accomplish.
We have been hard at work imagining what this future could look like, and can’t wait to launch some of our first AI-native devices next year.
Our Series C capital raise
This funding round allows us to execute on this vision by accelerating our innovation roadmap and further scaling our distribution. Our round was led by Tiger Global, with significant support from existing shareholders GV, Highland Europe, EQT, Latitude, I2BF, and Tapestry, alongside new strategic backing from Nikhil Kamath and Qualcomm Ventures.
Alongside this Series C, we’re also preparing to launch our next Community round giving our supporters another opportunity to become part of Nothing’s journey. More details will be shared soon.
As we continue our journey, we do so with huge gratitude to our community, our team, and our partners. This next chapter is only possible because of you.
Carl, CEO and Co-founder of Nothing
Tech News
Innovo and Siemens Announce Strategic Partnership in Building Technologies

Innovo, an industry leader in construction and innovation, has signed a strategic partnership with Siemens, a leading technology company, to drive innovation, digital transformation, and sustainable growth across building technologies in the UAE.
Under the agreement, Innovo Technology Services has officially become a Siemens Solution Partner for Building Automation, authorised to deliver and integrate the Building X portfolio in the UAE. Building X is Siemens’ open, cloud-based platform for smart building management.
Innovo will provide full sales, integration, and support across modules including Lifecycle Twin, Energy Manager, Operations Manager, Comfort AI, Security Manager, Fire Manager, and API Manager.
This milestone strengthens Innovo’s commitment to digital adoption and sustainability in the built environment, while extending Siemens’ global leadership into one of the world’s fastest-growing construction markets.
The strategic partnership was formalised at a signing ceremony attended by Bishoy Azmy, CEO, Innovo, and Hakan Ozdemir, CEO, Smart Infrastructure, Siemens Middle East.
Bishoy Azmy, CEO, Innovo, said: “Our partnership with Siemens reflects our shared vision, to create smarter, safer, and more sustainable digital ecosystems. By combining Siemens’ advanced solutions with Innovo’s digital innovation, we are delivering intelligent solutions that will transform building performance and enhance quality delivery across the UAE.”
Hakan Ozdemir, CEO, Smart Infrastructure, Siemens Middle East, said: “Innovo is a trusted partner with a proven record in digital solutions. Their appointment as a Siemens Solution Partner will accelerate the deployment of our Building X portfolio in the UAE, supporting more efficient, resilient, and connected communities.”
Innovo continues to operate at the forefront of innovation. This strategic partnership supports the company’s vision to be part of the future of intelligent, sustainable building solutions that transform communities across its global markets.
Tech News
Lexar MEA expansion: 5,000+ retail stores

Lexar MEA expansion has hit a major milestone: the brand’s products are now available in over 5,000 retail stores across the Middle East and Africa. Moreover, the footprint reflects a fivefold increase in outlets carrying Lexar-branded solutions. With GITEX Global 2025 approaching, Lexar will showcase its latest memory and storage innovations for photographers, gamers, and content creators.
Lexar MEA expansion: momentum built with partners
At the core, growth comes from “The Lexar Way.” Specifically, the company co-builds the channel through training, consumer engagement, and incentive programs—so partners can move faster and serve customers better. Consequently, retailers gain the resources and product knowledge to match users with the right cards, readers, SSDs, and DRAM. In turn, this partner-first model has underpinned demand over the past three years.

“For nearly 30 years, Lexar has been empowering the world with memory innovations,” said Fissal Oubida, General Manager – Middle East, Africa & India. “Ultimately, our rapid growth in the region reflects rising demand for reliable memory solutions and the strength of our retail partnerships. Therefore, expanding our footprint demonstrates a long-term commitment to a market that’s become a hub for imaging innovation and creativity.”
Lexar MEA expansion at GITEX: what creators and gamers will see
At GITEX Global 2025 (Hall 1, Stand H1-25), Lexar plans to spotlight professional-grade memory cards, high-speed card readers, portable SSDs, and performance DRAM—solutions tuned for regional workflows. For creators, that means faster offloads, smoother edits, and simpler backup routines. For gamers, it means quicker load times and more responsive systems with NVMe upgrades and reliable storage tiers. Additionally, visitors can expect hands-on demos and guidance on selecting media for mirrorless bodies, cinema cameras, and gaming rigs. Notably, the team will translate specs into practical choices for real-world use.
Partner enablement that scales across MEA
To keep pace with demand, Lexar runs channel seminars and roadshows across the region. During these sessions, product details become clear use cases—from 4K/8K capture on CFexpress to hybrid creator–gamer setups. Furthermore, the company invests in localized education so floor staff can explain speed classes, endurance ratings, thermal behavior, and backup best practices. As a result, customers leave with the right media for their device and workload.
“Going forward, Lexar will continue to consolidate its regional presence,” added Oubida. “In fact, GITEX is an ideal platform to extend collaborations, strengthen local partnerships, and introduce new offerings tailored to MEA consumers.”
Why the Lexar MEA expansion footprint matters for end users
Availability matters. Because the retail network is broader, buyers can compare products in person, ask questions, and walk out with the right kit the same day. Moreover, consistent access improves creator and gamer confidence—especially when tight deadlines depend on fast cards and dependable SSDs. In practical terms, the 5,000-store milestone shortens the path from idea to delivery. Likewise, it supports regional growth in content creation, esports, and professional imaging.
Looking ahead
Expect continued product rollouts and deeper collaboration with resellers. Next, the roadmap includes more education-first initiatives, clearer in-store guidance, and expanded after-sales support. Ultimately, photographers, videographers, streamers, and gamers will gain a simpler, more reliable way to upgrade daily tools. In summary, Lexar’s partner model and retail reach position the brand to scale with MEA’s demand.
Bottom line
The Lexar MEA expansion is about reach, relevance, and reliability. With 5,000+ stores and a strong showing planned for GITEX Global 2025, the company is doubling down on creators and gamers across the Middle East and Africa—therefore bringing pro-grade memory and storage closer to where people work and play.
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