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Received today — 2 April 2026

Duos Edge AI and Seimitsu Strengthen Georgia’s Digital Infrastructure

18 March 2026 at 15:00

Duos Technologies Group Inc. (Nasdaq: DUOT), through Duos Edge AI, Inc., has formed a strategic partnership with Seimitsu to revolutionize digital infrastructure across Georgia. By combining Duos Edge AI’s modular, high-performance solutions with Seimitsu’s expansive high-speed fiber network, the collaboration delivers low-latency processing and high-bandwidth connectivity for businesses, municipalities, and healthcare providers statewide.

“Our mission is to bring the power of the cloud to the street corner. Partnering with Seimitsu allows us to integrate our Edge AI nodes into a robust, reliable fiber backbone, ensuring that Georgia’s industries – from the port of Savannah to Atlanta’s technology corridors – have the infrastructure they need to compete globally,” said Dave Irek, Chief Operations Officer of Duos Edge AI.

As demand for real-time data processing grows, driven by AI, IoT, and autonomous systems, infrastructure closer to end users has become critical. This partnership positions Georgia at the forefront of the Edge revolution with ultra-low latency processing, Seimitsu’s 25 terabits of low-latency fiber capacity across the Southeast, and rapid deployment of Duos Edge AI nodes in underserved and high-demand areas.

Sam Cook, CEO of Seimitsu, added, “For more than 40 years, Seimitsu has been committed to connecting our communities. This partnership with Duos Edge AI represents the next step in that journey. By integrating edge computing directly into our network, we are moving beyond simple transit services and delivering true digital transformation for our clients.”

The partnership supports Duos Edge AI’s nationwide expansion of distributed AI infrastructure through strategic fiber, power, and site partnerships.

To learn more about Duos Edge AI, visit www.duosedge.ai.

The post Duos Edge AI and Seimitsu Strengthen Georgia’s Digital Infrastructure appeared first on Data Center POST.

Digital Infra 3.0: Power, Fiber, and Edge Will Drive the AI Industrial Revolution

10 March 2026 at 16:00

At Metro Connect USA 2026, held February 22-25 in Fort Lauderdale, Marc Ganzi, Chief Executive Officer of DigitalBridge, delivered a keynote outlining how artificial intelligence is reshaping the digital infrastructure industry. In his address, “Digital Infra 3.0: Building the AI Industrial Revolution,” Ganzi described how the sector is evolving from a connectivity-focused market into a broader ecosystem that includes data centers, fiber networks, edge computing, and energy infrastructure.

Ganzi emphasized that AI has moved beyond hype and is beginning to generate measurable outcomes across industries. While much of the public discussion focuses on applications and large language models, he noted that the true monetization of AI will occur through enterprise and industrial use cases. Manufacturing, agriculture, healthcare, and transportation are already integrating AI-driven automation, robotics, and predictive analytics to improve productivity and efficiency.

These developments rely on a layered infrastructure environment. Hyperscale facilities train AI models, while edge data centers support inferencing workloads closer to where data is used. Fiber networks provide the low-latency connectivity required to move massive volumes of data between locations, and wireless systems connect devices and sensors in the physical world. Beneath all of these components sits an increasingly critical factor: power.

Power availability was a central theme of Ganzi’s keynote. As AI workloads grow, electricity demand is rising faster than grid capacity can keep pace. The digital infrastructure industry is now leasing significantly more power than the grid can bring online each year, creating a widening gap between supply and demand. As a result, developers are increasingly operating as energy strategists, exploring diversified energy approaches that may include microgrids, battery storage, solar, wind, and natural gas generation.

The search for reliable power is also influencing where new infrastructure is built. While traditional hubs such as Northern Virginia remain central to the industry, developers are exploring additional markets where grid access and energy availability make large-scale AI deployments possible. In many cases, power availability has become the deciding factor in site selection.

Despite the focus on energy, Ganzi reminded the audience that connectivity remains essential to the AI economy. The ability to move enormous amounts of data across networks continues to depend on high-capacity fiber infrastructure and low-latency connectivity. Even as AI advances in software and hardware, the underlying network infrastructure remains fundamental.

Ganzi also described the evolution of AI infrastructure in phases. The industry has moved through the early stage of training large language models and is now entering a period where inferencing and edge deployments are expanding. The next stage will involve integrating AI directly into physical environments, where intelligent systems control machines, robotics, and automated processes across multiple industries.

As the sector expands, developers face growing challenges that include power constraints, permitting delays, supply chain pressures, water usage concerns, and increased scrutiny from investors. Ganzi stressed that success will depend on operational discipline, strong customer relationships, and the ability to deliver infrastructure projects reliably and on schedule.

Ultimately, he framed the current moment as the beginning of Digital Infra 3.0, a phase in which digital infrastructure converges with traditional infrastructure to support the AI economy. As AI adoption accelerates, the companies that successfully combine power, connectivity, and compute will play a defining role in building the foundation for the next era of global digital infrastructure.

The discussion around digital infrastructure, connectivity, and AI will continue at the next major Capacity event, International Telecoms Week (ITW) in Washington, D.C., May 18-21, 2026.

To learn more about upcoming events in the Capacity Media portfolio, visit www.capacitymedia.com/events.

The post Digital Infra 3.0: Power, Fiber, and Edge Will Drive the AI Industrial Revolution appeared first on Data Center POST.

Datalec Unveils Next-Generation Modular Data Centre Solution to Accelerate Deployment

24 February 2026 at 13:35

Datalec Precision Installations (DPI) has introduced its next-generation Data Centre Modularisation Solution, targeting operators that need to add capacity quickly without sacrificing control, reliability or lifecycle value.

Developed in response to surging demand for rapid capacity expansion, the new solution is designed to compress delivery timelines while maintaining full flexibility over configuration, performance and long-term scalability. Each system is precision engineered and manufactured by Datalec to ensure compatibility across structural, mechanical and electrical systems, helping to reduce onsite risk and integration challenges.

Datalec’s modular approach combines pre-engineered design principles with tailored manufacturing, enabling customers to adapt deployments to specific site conditions, operational requirements and growth strategies, including AI-intensive workloads. By shifting more work offsite into a controlled manufacturing environment, the solution minimises disruption associated with traditional construction-led projects and supports safer, more succinct installations and a faster speed to market.

“With organisations under pressure to scale quickly while managing capital expenditure and quality, this launch marks a pivotal shift in how data centre capacity can be delivered,” said John Lever, Director of Modular Solutions at Datalec. “Our modular solution brings these priorities together, giving customers the confidence and agility to develop at the pace their business requires.”

By emphasising reliability, engineering excellence and lifecycle value, Datalec’s new Modularisation Solution reinforces the company’s role in delivering robust, scalable infrastructure for today’s data-driven enterprises and AI-led digital transformation. More information on Datalec’s modular critical infrastructure solutions is available at www.datalecltd.com/critical-infrastructure/modular.

The post Datalec Unveils Next-Generation Modular Data Centre Solution to Accelerate Deployment appeared first on Data Center POST.

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Adaptive Inference in NVIDIA TensorRT for RTX Enables Automatic Optimization

26 January 2026 at 21:00
Deploying AI applications across diverse consumer hardware has traditionally forced a trade-off. You can optimize for specific GPU configurations and achieve...

Deploying AI applications across diverse consumer hardware has traditionally forced a trade-off. You can optimize for specific GPU configurations and achieve peak performance at the cost of portability. Alternatively, you can build generic, portable engines and leave performance on the table. Bridging this gap often requires manual tuning, multiple build targets, or accepting compromises.

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Building Generalist Humanoid Capabilities with NVIDIA Isaac GR00T N1.6 Using a Sim-to-Real Workflow 

8 January 2026 at 17:38
A robot thrTo make humanoid robots useful, they need cognition and loco-manipulation that span perception, planning, and whole-body control in dynamic environments. ...A robot thr

To make humanoid robots useful, they need cognition and loco-manipulation that span perception, planning, and whole-body control in dynamic environments. Building these generalist robots requires a workflow that unifies simulation, control, and learning for robots to acquire complex skills before transferring into the real world. In this post, we present NVIDIA Isaac GR00T N1.6…

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Accelerating LLM and VLM Inference for Automotive and Robotics with NVIDIA TensorRT Edge-LLM

8 January 2026 at 17:28
Large language models (LLMs) and multimodal reasoning systems are rapidly expanding beyond the data center. Automotive and robotics developers increasingly want...

Large language models (LLMs) and multimodal reasoning systems are rapidly expanding beyond the data center. Automotive and robotics developers increasingly want to run conversational AI agents, multimodal perception, and high-level planning directly on the vehicle or robot – where latency, reliability, and the ability to operate offline matter most. While many existing LLM and vision language…

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New Software and Model Optimizations Supercharge NVIDIA DGX Spark

5 January 2026 at 22:50
Since its release, NVIDIA has continued to push performance of the Grace Blackwell-powered DGX Spark through continuous software optimization and close...

Since its release, NVIDIA has continued to push performance of the Grace Blackwell-powered DGX Spark through continuous software optimization and close collaboration with software partners and the open-source community. These efforts are delivering meaningful gains across inference, training and creative workflows. At CES 2026, the latest DGX Spark software release, combined with new model…

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Accelerate AI Inference for Edge and Robotics with NVIDIA Jetson T4000 and NVIDIA JetPack 7.1

5 January 2026 at 22:10
NVIDIA Jetson T4000.NVIDIA is introducing the NVIDIA Jetson T4000, bringing high-performance AI and real-time reasoning to a wider range of robotics and edge AI applications....NVIDIA Jetson T4000.

NVIDIA is introducing the NVIDIA Jetson T4000, bringing high-performance AI and real-time reasoning to a wider range of robotics and edge AI applications. Optimized for tighter power and thermal envelopes, T4000 delivers up to 1200 FP4 TFLOPs of AI compute and 64 GB of memory, providing an ideal balance of performance, efficiency, and scalability. With its energy-efficient design and production…

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AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025

31 December 2025 at 17:30
Four-image grid illustrating AI agents, robotics, data center infrastructure, and simulated environments.2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI...Four-image grid illustrating AI agents, robotics, data center infrastructure, and simulated environments.

2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI infrastructure, model optimization, open models, AI agents, and physical AI redefined how intelligent systems are trained, deployed, and moved into the real world. These posts highlight the innovations that resonated most with our readers.

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Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics

11 December 2025 at 16:00
Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous...

Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous machines need real-time intelligence to see, understand, and react without depending on the cloud. The NVIDIA Jetson platform meets this need with compact, GPU-accelerated modules and developer kits purpose-built for edge AI and robotics.

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NVIDIA-Accelerated Mistral 3 Open Models Deliver Efficiency, Accuracy at Any Scale 

2 December 2025 at 18:10
The new Mistral 3 open model family delivers industry-leading accuracy, efficiency, and customization capabilities for developers and enterprises. Optimized...

The new Mistral 3 open model family delivers industry-leading accuracy, efficiency, and customization capabilities for developers and enterprises. Optimized from NVIDIA GB200 NVL72 to edge platforms, Mistral 3 includes: All the models were trained on NVIDIA Hopper GPUs and are now available through Mistral AI on Hugging Face. Developers can choose from a variety of options for deploying…

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Model Quantization: Concepts, Methods, and Why It Matters

24 November 2025 at 19:23
Decorative image.AI models are becoming increasingly complex, often exceeding the capabilities of available hardware. Quantization has emerged as a crucial technique to address...Decorative image.

AI models are becoming increasingly complex, often exceeding the capabilities of available hardware. Quantization has emerged as a crucial technique to address this challenge, enabling resource-intensive models to run on constrained hardware. The NVIDIA TensorRT and Model Optimizer tools simplify the quantization process, maintaining model accuracy while improving efficiency.

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R²D²: Perception-Guided Task & Motion Planning for Long-Horizon Manipulation

4 November 2025 at 17:00
Traditional task and motion planning (TAMP) systems for robot manipulation use cases operate on static models that often fail in new environments. Integrating...

Traditional task and motion planning (TAMP) systems for robot manipulation use cases operate on static models that often fail in new environments. Integrating perception with manipulation is a solution to this challenge, enabling robots to update plans mid-execution and adapt to dynamic scenarios. In this edition of the NVIDIA Robotics Research and Development Digest (R²D²)…

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Make Sense of Video Analytics by Integrating NVIDIA AI Blueprints

3 November 2025 at 21:48
Decorative image.Organizations are increasingly seeking ways to extract insights from video, audio, and other complex data sources. Retrieval-augmented generation (RAG) enables...Decorative image.

Organizations are increasingly seeking ways to extract insights from video, audio, and other complex data sources. Retrieval-augmented generation (RAG) enables generative AI systems to use proprietary enterprise data. However, incorporating video content into these workflows introduces new technical hurdles, such as efficient ingestion, indexing, and maintaining compliance across diverse sources.

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Duos Technologies Achieves Positive EBITDA with 112% Quarterly Revenue Growth

13 November 2025 at 18:00

Duos Technologies Group, Inc. (Nasdaq: DUOT), a leader in intelligent technologies and digital infrastructure, has announced financial results for the third quarter ended September 30, 2025, reporting record revenue and positive adjusted EBITDA. The company remains on track to meet full-year guidance of $28 to $30 million, driven by growth in edge computing and energy services.

For the third quarter, Duos recorded $6.88 million in revenue, including $6.59 million in services, of which $5.15 million was related to its Asset Management Agreement (AMA) with New APR Energy. Total nine-month revenue reached $17.6 million, the highest in company history and reflecting more than 20% sequential growth.

During the quarter, Duos raised over $50 million to fund growth in the data center market and retired all debt. The company also reported improved gross margins and a reduced net operating loss. Key operational milestones included subsidiary Duos Edge AI’s new partnership with FiberLight to expand high-speed connectivity across underserved U.S. markets and the deployment of its sixth Edge Data Center, with nine additional sites planned for Q4, including the first out-of-state location in Illinois.

“I am very pleased with the continuous improvement in Duos’ results this year,” said Chuck Ferry, CEO of Duos Technologies. “Having embarked on the strategic shift to becoming a data center provider for the rapidly growing market for edge computing, we are well positioned to capture market share for products and services related to this important industry. I also welcome our new senior management and latest addition to our Board to assist in realizing the potential in 2026 and beyond.”

Duos also appointed Doug Recker as President and Corporate Officer, as well as Brian J. James to its Board of Directors, strengthening leadership and strategic alignment. The company was awarded U.S. Patent No. 12,404,690 B1 for its Entryway for a Modular Data Center and joined the Nomad Futurist Foundation as an Inspiration Sponsor, reinforcing its commitment to education and workforce development across the digital infrastructure ecosystem.

With approximately $25.8 million in backlog and near-term awards, Duos is reaffirming its 2025 revenue outlook and continues to focus on profitability, operational stability, and expansion within the edge and energy sectors.

The company’s management team hosted its third quarter 2025 earnings call on November 12, 2025, providing additional insight into results and strategy. A replay of the call is available in the investor section of the Duos Technologies website.

To learn more about Duos Technologies Group, Inc., visit www.duostech.com.

The post Duos Technologies Achieves Positive EBITDA with 112% Quarterly Revenue Growth appeared first on Data Center POST.

Europe’s Digital Infrastructure Enters the Green Era: A Conversation with Nabeel Mahmood at Capacity Europe

13 November 2025 at 16:00

Interview: Jayne Mansfield, ZincFive, with Nabeel Mahmood, Mahmood

At this year’s Capacity Europe conference in London – the epicenter for conversations shaping the digital infrastructure landscape – one theme cut through every panel and hallway exchange: Europe’s data future must be both powerful and sustainable.

To unpack what that really means for investors, operators, and policymakers, we sat down with technology executive and Top 10 Global Influencer Nabeel Mahmood, who spoke at the event about the region’s evolving data-center ecosystem.

“Demand is exploding across the UK and Europe,” Mahmood told us. “AI, edge compute, high-density GPU workloads, and hyperscale cloud deployments are all converging – and they’re forcing a rethink of what infrastructure looks like.” 

The Shift from Scale to Strategy

Mahmood’s central message was that the market’s priorities are shifting from ‘how much’ capacity to ‘how and where’ it’s built. Across the region, sustainability and energy resilience are no longer nice-to-have checkboxes; they’re becoming the foundation of investment decisions.

“Infrastructure used to be a race for megawatts,” he explained. “Now it’s a race for smarter, greener, and more sustainable megawatts.”

That shift is already visible in the UK, where annual data-center investment is projected to soar from roughly £1.75 billion in 2024 to £10 billion by 2029. While London remains dominant, new projects are spreading beyond the M25 as developers chase available power and faster permitting timelines.

Mahmood pointed out that “the UK’s declaration of data centers as critical national infrastructure is a step in the right direction – it signals recognition that digital infrastructure underpins everything from jobs to national competitiveness.”

Europe’s Tightrope: Power, Land, and Policy

Across continental Europe, the picture is similar but more constrained. The so-called FLAP-D markets – Frankfurt, London, Amsterdam, Paris, and Dublin – are nearing record-low vacancy rates, with take-up expected to hit 855 MW in 2025, up 22 % year-on-year.

“Grid capacity and land availability have become the new bottlenecks,” Mahmood said. “Those constraints are pushing investors to look at secondary markets – Milan, Nordic hubs, even parts of Southern Europe – where renewable energy integration and policy agility are improving.”

That migration is reshaping the map of European data infrastructure, with sustainability as the common denominator. Operators are incorporating liquid cooling, renewable sourcing, and battery-microgrid systems into new designs to support increasingly power-hungry AI clusters.

Why Power Chemistry Now Matters

In that context, Mahmood emphasized the critical role of next-generation battery technology – particularly nickel-zinc (Ni-Zn) – as a cornerstone of the sustainable data-center model.

“Battery systems are no longer just backup,” he said. “They’re becoming part of the strategic infrastructure footprint.”

Ni-Zn chemistry, he explained, offers a combination of high power density, safety, and circularity that aligns with Europe’s sustainability mandates. Unlike lithium-ion or lead-acid systems, Ni-Zn avoids thermal-runaway risks, reduces cooling needs, and offers recyclability benefits that fit the EU’s evolving battery-regulation framework.

“For operators, it’s not just an ESG checkbox,” Mahmood added. “It’s about freeing up space, cutting long-term costs, and demonstrating a credible pathway to low-carbon operations.”

A New Definition of Digital Infrastructure

Perhaps Mahmood’s most resonant message at Capacity Europe was philosophical: the way the industry defines “infrastructure” itself must evolve.

“Data centers aren’t just cost centers or tech assets,” he said. “They’re critical national infrastructure – pillars of the modern economy that touch climate policy, energy strategy, and digital sovereignty.”

That redefinition brings a new level of accountability. It means that as Europe scales for AI, cloud, and edge computing, the choices around power, cooling, materials, and footprint will determine not just commercial success but environmental integrity.

The Takeaway

Mahmood closed our conversation with a clear challenge to the industry:

“The digital-infrastructure boom sweeping through Europe must be anchored in responsible, resilient, and sustainable design. Adopting technologies like Ni-Zn isn’t just a technical upgrade – it’s a strategic differentiator. Those who embrace that mindset now will lead the next wave of growth.”

At Capacity Europe, optimism for digital expansion was everywhere – but so was a recognition that the future will belong to those who innovate responsibly. Mahmood’s vision distilled that reality perfectly: the next frontier of infrastructure isn’t just bigger. It’s smarter, greener, and built for permanence.

The post Europe’s Digital Infrastructure Enters the Green Era: A Conversation with Nabeel Mahmood at Capacity Europe appeared first on Data Center POST.

Duos Edge AI Joins Nomad Futurist Foundation as Inspiration Sponsor

6 November 2025 at 17:00

Duos Edge AI, Inc., a provider of adaptive, modular, and scalable Edge Data Center solutions, has joined the Nomad Futurist Foundation as an Inspiration Sponsor. The partnership reflects a shared commitment to advancing education, awareness, and leadership development within the digital infrastructure and edge technology sectors.

“At Duos Edge AI, we believe that education and access to technology are the foundation for innovation,” said Doug Recker, President of Duos and Founder of Duos Edge AI. “Part of our mission has been to expand that access and partnering with the Nomad Futurist Foundation allows us to help inspire the next generation and equip them with the knowledge and tools to shape the future.”

The Nomad Futurist Foundation is a global 501(c)(3) non-profit organization dedicated to empowering individuals from all backgrounds to explore and thrive in the digital future. As an Inspiration Sponsor, Duos Edge AI will support initiatives that help nurture the next generation of technology leaders through programs centered on digital infrastructure, AI, and edge computing.

Through this collaboration, Duos Edge AI and the Nomad Futurist Foundation will co-develop educational programs, community outreach initiatives, and awareness campaigns designed to broaden access to opportunities across the global technology landscape.

“We are thrilled to welcome Duos Edge AI as an Inspiration Partner,” said Nabeel Mahmood, Co-Founder of the Nomad Futurist Foundation. “Their commitment to innovation and education aligns perfectly with our mission to empower future leaders in the digital infrastructure space. Together, we can help more people discover and thrive in the careers that will define our digital future.”

The partnership reinforces both organizations’ dedication to creating a more inclusive and forward-looking digital ecosystem by connecting innovation, education, and opportunity.

To learn more about Duos Edge AI, visit www.duosedge.ai.

To learn more about the Nomad Futurist Foundation, visit nomadfuturist.org.

The post Duos Edge AI Joins Nomad Futurist Foundation as Inspiration Sponsor appeared first on Data Center POST.

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