This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Google has signed its first corporate deal to purchase power from multiple small modular reactors (SMRs) to meet the energy needs of its AI systems, marking a key step as AI companies shift toward nuclear power. This move comes as other major tech companies are also exploring nuclear power as a sustainable energy source.
At that level, Las Vegas and Reno’s data centers will require 3,812 MW of energy to operate – which is enough electricity to power 3.1 Nevada Energy, the largest utility company in the state, generates most of its power from renewable resources like geothermal, hydroelectric, and solar energy. million homes. million homes.
GW of data center capacity with at least 300 MW of additional capacity in the near term, with more to come through green energy deployments, it announced earlier this week. Singapore wants to go beyond that and reduce energy use for air-cooling by raising the temperatures at which servers and storage racks can safely operate.
Google Cloud Next 2025s (full takeaway blog here) developer keynote offered a detailed look at the company’s latest AI innovations, with a particular focus on agent technology and developer tools.
Shifting security left to the earliest part of development is currently in the spotlight in the developer world. What teams are now discovering is, this approach results in misdirected ownership for developers and a frustrated security team. Understand why Development doesn’t actually want to own security or production.
Many certifications come with a continuing education requirement, meaning that the certificate holders are expected to stay abreast of major developments. They also serve as tools for risk management, staff retention, and professional development. Uptime Education, for example, has a recertification program every three years.
In its white paper, “ Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption ,” the Electric Power Research Institute (EPRI) noted that one key uncertainty that could change the trajectory of data center load growth is the use of generative AI models. watt-hours for a traditional Google search to 2.9
According to a report released this week by Bloom Energy, US data centers will need 55 gigawatts of new power capacity within the next five years. Data center builds typically have timelines of 18 to 24 months, gas and renewable power plans have timelines of three to five years, and new transmission development can take seven to ten years.
The construction of massive data center campuses is booming, with hyperscalers, colocation providers and large enterprises developing new capacity to support the exploding requirements of AI. Emerging energy sources : Beyond wind and solar, there are many exciting new technologies on the horizon that provide an alternative to fossil fuels.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
As concerns over AI energy consumption ratchet up, chip maker Nvidia is defending what it calls a steadfast commitment to sustainability. Google, meanwhile, has been making progress with geothermal energy in Nevada. However, we should be “dismayed” at the pace of these developments, he pointed out. watt-hours, compared to 0.3
An improvement to the way Linux handles network traffic, developed by researchers at Canadas University of Waterloo, could make data center applications run more efficiently and save energy at the same time. Waterloo professor Martin Karsten and Joe Damato, distinguished engineer at Fastly, developed the code approximately 30 lines.
The heightened demand is set to pose challenges for tech giants and cloud providers who rely on consistent energy to maintain operations, and experts predict these constraints could affect innovation and the rollout of future AI applications, the report added. An AI hyperscale data center can consume as much as 100 MW of power.
Schneider Electric, a global leader in energy management and automation, has unexpectedly removed its CEO, Peter Herweck, due to disagreements over the company’s strategic direction. The board cited “divergences in the execution of the company roadmap at a time of significant opportunities” as the reason for Herweck’s removal.
However, concerns about their energy consumption and environmental impact have raised questions about their compatibility with ESG objectives. Aligning IT operations with ESG metrics: CIOs need to ensure that technology systems are energy-efficient and contribute to reducing the company’s carbon footprint.
We are dedicating tremendous energy to ensure our skills are not only robust for today but also poised for tomorrow. Phase two focused on developing use cases, creating a backlog, exploring domains for resource allocation, and identifying the right subject matter experts for testing and experimentation.
For enterprises investing heavily in AI infrastructure, this development addresses a growing challenge. Customers can expect the M1000 reference platform in the summer of 2025, allowing them to develop custom GPU interconnects. The technology could also impact energy consumption in data centers.
(AWS Photo) Amazon today announced agreements supporting the construction of a next-generation nuclear power plant in its home state of Washington — marking the latest development in the tech-driven resurgence of nuclear energy. Just a year ago, X-energy scuttled its $2 billion plan to go public and announced layoffs.
Be it in the energy industry, e-government services, manufacturing, or logistics, the fourth industrial revolution is having a profound impact. With the concept, a team devoted to a particular industry will include functions such as R&D, product development and delivery, sales and marketing and more. Digitalization is everywhere.
American utility and power company AES launched a renewable energy program in mid-2022 that is not only reducing its carbon footprint but adding wealth to its coffer. The project, dubbed Farseer AI Generation Forecasting and Market Automation Program, was developed by a handful of AES data scientists in partnership with Google.
For starters, the AWS disclosure confirms that hyperscalers are developing more and more of their own custom silicon , according to Patrick Moorhead, CEO of Moor Insights & Strategies. In July 2024, AWS announced the launch of its fourth-generation Graviton CPU, touting its energy efficiency and high performance for cloud workloads.
This transformation is fueled by several factors, including the surging demand for electric vehicles (EVs) and the exponential growth of renewable energy and battery storage. In addition, renewable energy sources such as wind and solar further complicate grid management due to their intermittent nature and decentralized generation.
As the GenAI landscape becomes more competitive, companies are differentiating themselves by developing specialized models tailored to their industry,” Gartner stated. Through 2027, Fortune 500 companies will shift $500 billion from energy opex to microgrids to mitigate chronic energy risks and AI demand.
One such example is Microsofts global water use soared by 34% while it was developing its initial AI tools, according to reports , and a data center cluster in Iowa used 6% of the districts water supply in one month during the training of OpenAIs GPT-4. I believe some data center operators just bowed out, said Howard.
“The rapid expansion of compute infrastructure to support training for genAI has created a major electrical power availability challenge,” said a Gartner research note on emerging technologies for energy-efficient generative AI compute systems by researchers Gaurav Gupta, Menglin Cao, Alan Priestley, Akhil Singh, and Joseph Unsworth.
Data centers this year will face several challenges as the demand for artificial intelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new data center developments continues to grow.
HPE said it would add features to its Nvidia co-developed Private Cloud AI package, which integrates Nvidia GPUs, networks, and software with HPEs AI memory, computing and GreenLake cloud support. The developers edition is designed as an accessible starting point for AI development capabilities.
The drive to push boundaries in AI, quantum compute, and other development might be held back by the material and power required to bring these creations to life.
A new AI-based assistant will aid in RPG application modernization and development. Notably, the chip will send data directly from one compute engine to the next, leading to an efficient use of energy,” wrote Bargav Balakrishnan, vice president, product management, IBM Power, in a blog about the roadmap.
Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. With IoT integration, cities will become more efficient, optimizing everything from traffic management to energy consumption and waste reduction.
from 2024 to 2030 1 , energy consumption has become a major concern. That’s a lot of energy. Without evolving data center platforms, energy sources, and operations to support this demand, data center growth will not be sustainable financially or environmentally. Imagine transporting a large quantity of goods.
A recommendation by a US Department of Energy (DoE) working group to create an AI test bed that will be mandated with finding ways to create data centers that are more energy efficient than they are today represents a good step forward, but much needs to be done, an analyst said today.
Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how software development teams are assembled, with QA and junior developer jobs at risk. AI will handle the rest of the software development roles, including security and compliance reviews, he predicts. “At
For mid-market companies in highly regulated industries, such as finance, energy, and utilities, addressing cybersecurity concerns and responsible AI implementation are also on the list. This is further made complex by the widespread use of legacy systems, which are unable to cope with AIs demands.
-based Stoke Space says it’s raised $260 million in a new founding round to finish the development of its fully reusable Nova rocket and complete construction of a launch complex in Florida. Stoke tested the technology for its second stage in a brief up-and-down flight in 2023.
This acquisition fundamentally demonstrates SoftBanks recognition of chipsets critical role in AI development and continues their pattern of strategically investing in promising technologies, said Faisal Kawoosa, Founder and Chief Analyst at Techarc. Financial outlook and industry response Industry insiders suggest the $6.5
But without a strategic approach, you could not only miss out on the promise of this powerful tool, but also drain time, energy, and resources away from other mission-critical initiatives across your organization. Generative AI has the potential to redefine productivity, create novel applications, and reinvent customer experience.
As part of this expansion, IBM is integrating its watsonx development platform with Nvidia Inference Microservices (NIM) software, the companies announced at Nvidias GTC conference. With increased memory bandwidth (1.4x
The panelists highlighted that mentorship from both men and women can serve as a vital mechanism for attracting more women to the sector, offering guidance, career development, and growth opportunities. Several targeted initiatives were highlighted, such as leadership development programs tailored for women and underrepresented groups.
Brazilian oil, natural gas, and energy corporation Petrobras ’ longtime mission has been to be the best in its field in terms of value creation with an emphasis on environmental responsibility.
Generally, 2025 will be very important for AI Safety, and we will see a lot of work (technical and non-technical) in this space, he said, erniauskas also pointed at the energy consumption concerns around AI as a dampening factor. The experts foresee emerging technologies and positive developments manifesting this year.
Test and performance measurement vendor Keysight Technologies has developed Keysight Artificial Intelligence (KAI) to identify performance inhibitors affecting large GPU deployments. It emulates workload profiles, rather than using actual resources, to pinpoint performance bottlenecks.
Ciscos focus so far has been the development of future technologies for the quantum data center, Jokel noted. We have seen the emergence of hyperscalers building modular nuclear reactors beside their data centers to meet the energy demands of AI, which underscores the scale of this challenge, Jokel said.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content