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NVIDIA CEO: AI Will Impact the Future of Energy

How AI could change EV charging

Deloitte today announced a first-of-its-kind collaboration with Utilidata, aimed at transforming the utility industry by leveraging AI and data capabilities for intelligent power grid solutions. By combining Deloitte's deep data science and energy industry experience and incorporating NVIDIA's accelerated computing and AI software platform, as well as the Utilidata Karman platform, the new initiative will support clients as they navigate the modern power grid, enhancing the use of renewable energy sources with real-time, actionable insights powered by AI and low-latency edge computing.


"Optimizing energy systems is imperative for intelligent grid infrastructure — the balancing act is between reliability, resilience and sustainability," said Khalid Behairy, AI practice leader for power, utilities and renewables and managing director, Deloitte Consulting LLP. "Through our new collaboration with Utilidata and NVIDIA, we can bring our industry advantage, redefine energy management and help create a more digitized, decentralized, and sustainable energy ecosystem."


As the U.S. power grid modernizes to adapt to the decentralization of energy generation and the dynamic patterns of consumption driven by electric vehicles (EVs) and renewable energy sources, traditional methods of grid operation no longer provide the dependability required for this critical infrastructure.


Smart grid implementation can create more flexible and efficient energy ecosystems through meter-to-transformer mapping, real-time hosting capacity, and distributed energy resource (DER) management. 

Deloitte's recent distributed energy resources report

 shows residential DER capacity could grow to 1,500 GW over the next decade and surpass a doubled peak demand.

Deloitte's collaboration with Utilidata and NVIDIA will help address this challenge by deploying distributed AI-driven analytics at the grid edge, where power is increasingly generated and stored. This custom module and platform — powered by the NVIDIA Jetson edge AI platform and embedded in electricity meters and backed by Deloitte's technology and engineering domain — transforms each meter into a data collection and control point, capable of handling thousands of data points per second. By providing real-time insights that enhance the resiliency and sustainability of energy systems, utilities companies can reduce energy demand forecasting latency, improve response time and field team efficiency, and increase grid safety and uptime.


"The electricity grid is becoming more complex with distributed energy resources, and scaling requires collaboration between global leaders," said Marc Spieler, senior director, energy, NVIDIA. "Working with Deloitte will enable utilities to use a truly open platform to achieve their decarbonization and electrification goals at scale."


"Our goal is to bring the best tools and outcomes to the market as the energy industry races to decarbonize and electrify," said Jess Melanson, president and chief operating officer, Utilidata. "By teaming with NVIDIA and Deloitte, we continue to break down barriers to make it easier to deploy AI at the grid edge to help solve the industry's biggest challenges."


The deployment of AI-enabled smart meters exemplifies how AI and edge computing capabilities enable grid operators to meet rising energy demand from homes and businesses, all while advancing decarbonization, affordability and resilience goals, and enhancing consumer experience. Utilidata and NVIDIA are also working to embed Utilidata's custom NVIDIA module with the Karman platform in other distribution grid devices, helping utilities leverage distributed AI for a wider range of grid planning and operational challenges.


By providing easy access to high-quality data and analysis in real-time, utilities can better understand and predict grid conditions, identify distributed energy resources and understand their impact, and reduce outages and equipment failure.


In addition to sustainability, intelligent grids can promote equity. Deloitte analysis found that if building sector decarbonization targets were met starting with low- and moderate-income customers, all energy-insecure households in every state could benefit from retrofitted, energy-efficient and cost-saving homes by 2035. Historic federal funding for grid investments alone could create 178,000 jobs in smart grid operations 

This announcement follows Deloitte's recent recognition as the 

2024 NVIDIA Global Consulting Partner of the Year

 for the fourth year in a row. Learn more about 

Deloitte's work with Utilidata and NVIDIA


With IndustryAdvantage™, we give our clients access to the full breadth of thinking, experience and technology from across Deloitte, our people and our ecosystems. Because of our deep sector knowledge, we can apply these capabilities in a targeted way to help our clients differentiate their businesses from the rest of the industry. Deloitte's targeted approach to core business transformation is guided by our understanding of the future of industries. Our industry capabilities are informed by the collective insights of our strategy, engineering and innovation talent, our external ecosystems and alliances; and our broad experience delivering business-critical work for our clients. We demonstrate areas of disruption for your industry and then implement what can help your business create sustainable advantage. For additional information and case studies on how Deloitte works with clients to create IndustryAdvantage, 


Utilidata is an AI-powered technology company providing utilities with robust, real-time insights to operate a connected grid. The company's distributed AI platform, Karman, provides unparalleled processing power to the electric distribution grid to accelerate decarbonization and better serve people.



Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world's most admired brands, including nearly 90% of the Fortune 500® and more than 8,500 U.S.-based private companies. At Deloitte, we strive to live our purpose of making an 

 by creating trust and confidence in a more equitable society. We leverage our unique blend of business acumen, command of technology, and strategic technology alliances to advise our clients across industries as they 

. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them. Bringing more than 175 years of service, our network of member firms spans more than 150 countries and territories. Learn how Deloitte's approximately 457,000 people worldwide connect for impact at 

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see 

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Deloitte and Utilidata Establish First-of-Its-Kind Collaboration to Revolutionize the US Power Grid for a Sustainable Future

The University of Michigan Transportation Research Institute (UMTRI) has released 

 that studied the relationship between electric vehicle (EV) driving and charging behaviors to understand how those behaviors impact the electric grid. The study was conducted with Utilidata, an AI-powered technology company. 

"At UMTRI, our data collection and research projects are focused on creating a safer, more efficient, and equitable transportation future through data-driven decisions,” said Jim Sayer, UMTRI Director. “Working with Utilidata’s technology revealed the need to capture and analyze granular data locally to maximize the benefits EVs can provide to the grid while significantly mitigating risks. We hope this study will serve as a foundation for a more comprehensive research project to further explore how distributed AI can enable a more efficient and reliable grid to support electric transportation.”

UMTRI installed Utilidata’s distributed AI platform, Karman, via electric meter adapters at multiple EV charging stations on the University of Michigan campus to measure grid performance. Vehicle monitoring devices were installed on the EVs of drivers who charge their vehicles at one or more of the selected charging stations to uncover driving and charging behavior. Data was collected for 16 weeks and found that while there is considerable uncertainty around charging behavior and significant impacts to power quality, there is opportunity for EVs to add value to the grid.


Findings from this initial study include:

EV charging can cause unexpected rapid swings in current draw which can lead to inefficient energy consumption, resulting in overheated wires, transformer stress and possible outages.


Areas with high volumes of unmanaged EV charging are more likely to experience power outages.


Utilities need the ability to calculate high resolution measurements with local computation at individual locations to understand which locations can accommodate EV charging.


EV charging can cause equipment degradation and possible failure as it lowers power quality by introducing current harmonics generated from the conversion of AC to DC power.


With granular real-time data, utilities can manage EV charging in the presence of faults to mitigate the fault impact and facilitate faster recovery.

“It’s clear utilities need tools at the grid edge to fully understand the impact of EV charging in real time. Fortunately, the Karman platform identifies these issues and allows utilities to leverage AI models right at the source of charging to predict, model, and manage EV charging to prevent outages, lower grid costs, and add value to the grid,” said Utilidata CEO Josh Brumberger. “Working with UMTRI allowed us to combine our expertise in AI and the electric grid with UMTRI's expertise in innovation and transportation to identify opportunities and challenges on the grid as EV charging demand increases.”


Utilidata’s distributed AI platform, Karman, is being deployed with utilities to provide real-time visibility of the grid and leverage AI to predict and model grid conditions. This level of visibility and analysis will improve grid reliability and manage distributed energy resources like solar and EVs. Built on a custom module, based on the

edge AI platform, Karman is designed to be embedded into any grid edge device. Aclara, a division of Hubbell Incorporated, is t

 in a residential smart meter.

In 2022, Utilidata established an advisory board to bring together executives from utility companies, auto manufacturers, and technology providers to explore ways to leverage grid edge data to solve industry challenges like EV charging demand.

"As EV ownership increases, energy providers need real-time data to manage EV charging demand and provide effective customer programs,” said Ryan Jackson, Consumers Energy’s executive director of corporate strategy and a member of Utilidata's advisory board. “This computing platform can help us deeply analyze the impacts of a variety of EVs and EV chargers. These insights can be incredibly invaluable as we see more EVs connect to the grid."




Utilidata is an AI-powered technology company providing utilities with robust, real-time insights to operate a connected grid. The company’s distributed AI platform, Karman, provides unparalleled processing power to the electric distribution grid to accelerate decarbonization and better serve people.




UMTRI is a global leader in safe, equitable and efficient transportation research innovation. With partners across academia and sponsors in government and industry, UMTRI remains at the forefront of research innovation to help shape the evolution of a global transportation and mobility system. UMTRI experts focus on large scale data collection, driver behavior, human factors, engineering systems, injury and biomechanics, and are committed to data-driven changes in legislation that will ensure all individuals experience safe, equitable and efficient transportation and mobility options. For more information visit their 

Study from the University of Michigan Transportation Research Institute (UMTRI) Shows New Reliability Concerns Related to Electric Vehicle Charging

Utilidata, an industry leading AI-powered technology company, announced today that 

, a division of leading utility and electrical solutions provider 

, will be the first company to embed Utilidata’s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom module that leverages the NVIDIA Jetson platform for artificial intelligence, Karman captures and analyzes robust, high-quality data to improve grid operations and manage distributed energy resources (DERs).

“As the grid becomes increasingly more complex and dynamic, utilities need more technology options to operate a clean and reliable grid. By combining Utilidata’s extensive knowledge of distributed AI with Aclara’s decades of experience providing industry-leading hardware, we’re now able to bring new, innovative, interoperable solutions to our customers, starting with smart meters,” said Erik Christian, Division President, Grid Automation of Hubbell.

Aclara, an industry leader with more than 30 million electric meters deployed in North America, will embed Karman into a smart meter to provide utilities with 100 times more processing power than traditional solutions. The Karman embedded meters will provide powerful local computation at the edge of the grid to understand and predict grid conditions and the impacts of DERs. Local AI models will continuously learn to improve grid planning, grid operations, load management, customer service, and a range of other benefits.

“This partnership with Aclara is the starting point of endless opportunities for integrating distributed AI onto the grid,” said Josh Brumberger, CEO of Utilidata. “Utilizing distributed AI, Karman enables better informed, real-time decisions at the grid edge to operate a modern grid. A meter-embedded distributed AI platform is only the beginning - there are more opportunities beyond meters within the electric grid ecosystem that can benefit from having easy to access data and predictive analytics.”

“Utilities are seeking more options for new and innovative technologies, like distributed AI, that give them easily accessible and actionable data,” said Elizabeth Cook, Vice President of Technical Strategy of the Association of Edison Illuminating Companies (AEIC). “Utilidata’s partnership with Aclara makes it easier for utilities to integrate this important technology as the industry continues to build a smart and adaptive grid that is resilient and reliable for customers.”

The partnership follows the trend of market momentum and federal funding driving the utility industry’s need to modernize and report its operational efficiencies, for which distributed AI holds vast potential. In October of 2023, the Department of Energy 

 $3.5 billion in funding for grid modernization projects, including awards to Portland General Electric and Duquesne Light Company to deploy over 100,000 Karman units to increase reliability and accelerate decarbonization and electrification.


“The grid is going to need software-defined solutions, like Karman, that can take on new and different applications over time,” said Marc Spieler, Senior Managing Director - Global Energy at NVIDIA. "NVIDIA’s platform allows companies to develop the software and AI solutions they need. We’re excited to partner with trusted leaders like Utilidata and Aclara to bring our proven platform to a new industry.”


Utilidata’s chief technology officer, Marissa Hummon, and Hubbell’s chief technology officer, Alexis Bernard, will speak together at NVIDIA’s 

, a global AI developer conference, on March 20, 2024 in San Jose, California. Jess Melanson, Utilidata’s president and chief operating officer, will speak at the 

Utilidata is an AI-powered technology company providing utilities with robust, real-time insights to operate a connected grid and better serve their customers. The company’s distributed AI platform, Karman, is powered by the NVIDIA Jetson platform, and provides unparalleled processing power at the grid edge to accelerate decarbonization and better serve people. 


Hubbell Incorporated is a leading manufacturer of utility and electrical solutions enabling customers to operate critical infrastructure safely, reliably and efficiently. With 2023 revenues of $5.4 billion, Hubbell solutions electrify economies and energize communities. The company operates in two segments, Hubbell Utility Solutions (HUS) and Hubbell Electrical Solutions (HES).


Aclara, a division of Hubbell Utility Solutions, is a world-class supplier of smart infrastructure solutions (SIS) and services to more than 1,000 water, gas, and electric utilities globally. Aclara SIS offerings include smart meters and other field devices, advanced metering infrastructure and software and services that enable utilities to predict and respond to conditions, leverage their distribution networks effectively, and engage with their customers.

Utilidata Partners with Aclara to Bring Distributed AI to the Grid Edge 

Karman anticipates and solves real-time challenges at the edge of the electric grid

, an AI-powered technology company, announced today the formal branding of its distributed AI platform, now known as Karman.

“For the past decade, Utilidata has advanced real-time software solutions to make the electric grid cleaner, more efficient, and more resilient,” said Theresa Gilbert, Chief Experience Officer at Utilidata. “We’re in a period of growth and evolution, making significant strides to bring distributed AI to the grid edge to support utilities and customers in their energy transition. Unveiling Karman reflects the dawn of a new era for both Utilidata and the grid.”

Karman utilizes NVIDIA’s accelerated computing to bring 100 times the processing power of other meter-based solutions to the edge of the grid, making it possible to capture high-resolution data and identify patterns in large volumes of data.

The distributed AI platform connects millions of endpoints — from meters to EV chargers and solar panels — and coordinates them to monitor and react to real-time conditions. By providing access to better quality data in real-time, Karman provides utilities with a last mile view of their system and serves as a foundation to operating the grid.

Today, distribution grid operators commonly forecast and monitor energy loads manually with minimal automation due to a lack of computing power at the grid edge for real-time decision-making. With Karman, utilities will have the ability to command grid assets in real-time and make split second decisions based on changing grid conditions.

The Karman platform provides real-time system visibility, electric vehicle integration, solar integration, demand flexibility and system resiliency. Specifically designed for grid operations with an open, software-defined architecture, Karman will become smarter and more valuable over time as new AI models are developed and more applications are added.

Utilidata is an AI-powered technology company providing utilities with robust, real-time insights to operate a connected grid and better serve their customers. The company’s distributed AI platform, Karman, is powered by the NVIDIA Jetson platform, and provides unparalleled processing power at the grid edge to accelerate decarbonization and better serve people. For more information, visit 

Utilidata Formally Brands its Distributed AI Platform Karman 

, an industry leading grid-edge technology company, today announced a research partnership with the 

University of Michigan Transportation Research Institute (UMTRI)

 to study the relationship between electric vehicle (EV) driving and charging behaviors to better understand how those behaviors impact the electric grid. Utilizing Utilidata’s smart grid chips, a first-of-its-kind distributed artificial intelligence (AI) platform, researchers have installed the technology on several EV charging stations across University of Michigan’s (U-M) campus to collect data on the impact on the grid.

Utilidata’s smart grid chips are collecting real-time voltage, current, and power data at the edge of the grid, allowing researchers to analyze and detect EV charging patterns at each location. This data will be analyzed alongside vehicle data from a group of participants within the research study who have a vehicle monitoring device installed on their EV. Data from the monitoring device includes start and stop time for charging, location of charging, trips taken, and acceleration/deceleration. Closely analyzing driving and charging behavior will lead to a better understanding of how to manage EV demand on the grid and help utilities develop customer smart charging programs. As UMTRI researchers continue to collect and analyze data, they’ll have access to the recently announced 

 for further collaboration. Results from the UMTRI study are anticipated later this year.

“As more people invest in electric vehicles, our electric grid needs to be ready to support the influx in energy demand. We’re thrilled to have partners like UMTRI whose research and studies have made major, lasting impacts on the transportation industry,” said Josh Brumberger, Utilidata’s Chief Executive Officer. “Access to real-time insights of when EVs are charging will help utilities identify charging locations and design better EV programs for customers.”

The study with UMTRI follows the recent 

news on Utilidata’s new innovation lab and its commercial manufacturing partnership

“As we transition to electric transportation, the industry needs cutting edge technologies, like Utilidata’s smart grid chip, to meet the moment and bring us into the future”, said Jim Sayer, UMTRI director. “Partnering with Utilidata allows us to combine their energy and grid expertise with our decades of experience in conducting large scale research projects, data collection, and deployments that lead to a safer, more efficient, and equitable transportation and mobility future.”

EVs are projected to make up almost 50 percent of all car sales by 2030, and Michigan’s goal is to build the infrastructure necessary to support 2 million EVs on its roads by that time. As the transition to cleaner technologies continues, specifically in the automotive space, understanding the potential impact of these new technologies on the grid will be crucial. Utilidata’s smart grid chip, powered by the NVIDIA Jetson platform, is a new distributed AI platform installed alongside electric meters to integrate more distributed energy resources (DERs) including solar, battery storage, and EVs and enhance resiliency of the electric grid. Leveraging NVIDIA’s accelerated computing and AI technology, the smart grid chip collects and analyzes large amounts of data at the edge of the grid to provide utilities with real-time visibility of grid conditions.


Utilidata is a technology company bringing distributed artificial intelligence (AI) to the edge of the electric grid to accelerate decarbonization and better serve utility customers. The company’s smart grid chip, powered by NVIDIA, is the utility industry’s first scalable distributed AI solution, and provides an open, scalable and future-proof platform for grid operations. For more information, visit 

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