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The poetry of data

Jane Muschenetz’s poems don’t look like the sonnets you remember studying in high school English. If anything, they’re more likely to call to mind your statistics class. Flip through the pages of her poetry chapbook Power Point and you’ll see charts, graphs, and citations galore. One poem visually documents maternal mortality rates and women’s unpaid domestic labor in such a way that the bar and pie graphs spell out the word “MOM.” Another tracks deaths from gun violence across the globe and is presented as a gun-shaped graph. Still others are written in more standard poetic form but include citations that reference documents put out by the US government, the United Nations, and news organizations. These poems are just a few of the many in Muschenetz’s latest book that wrestle with contemporary social issues using a combination of data-driven insights and the poetic form. The format is a unique one: The first time Hayley Mitchell Haugen, founding editor in chief of Muschenetz’s publisher Sheila-Na-Gig, saw the poems, she thought to herself, “I’ve never seen anything like this before.” Point Blank 13. “Incidents of firearm mortality per 100K population for high income global economies with populations over 10M,” Institute for Health Metrics Evaluation, United Nations. Graphics treatment by Ingo Muschenetz. 14. “Child and Teen Firearm Mortality in the US and Peer Countries,” per 100K population, KFF.org, July 2023; CDC. Detailed citations at technologyreview.com/Muschenetz.ORIGINALLY PUBLISHED BY WRITERS RESIST, WINTER 2023 While cold, hard numbers and poetry might seem antithetical at first blush, from Muschenetz’s perspective, the two couldn’t be a better fit. A former business consultant at Bain & Company who received her MBA at the Sloan School of Management, she released her first poetry book in her 40s, and she’s enjoyed uncovering what the artistic and scientific approaches to understanding the world have in common. “Even though it maybe feels unintuitive that poetry and science are interrelated, they both make connections that are not immediately obvious,” she says. “They test out theories; they take risks. There’s a lot of nonlinear thinking that happens in both.” Many of the poems in Power Point were inspired by watershed moments in global politics and culture, particularly ones that would shape the lives of women. From the partisan political theater on display at the confirmation hearing of US Supreme Court Justice Ketanji Brown Jackson to the passage of laws restricting women’s freedoms in Iran and Afghanistan, these events often left Muschenetz overwhelmed with frustration at the state of women’s rights today. But knowing that women’s emotions are so often dismissed, she looked for a way to turn those feelings into something that she hoped would be harder to write off than standard poetry while still evoking the openheartedness with which people tend to approach art. “I wanted something that listed just facts but expressed how angry I am,” she says. “I really wanted it to be fact-based. I wanted my sources to be publicly available and almost unassailable.” Her hope was that by repackaging these facts in the form of statistics-driven poetry, she might allow readers to receive the information in a new way—and get them thinking. From Ukraine to California Muschenetz’s childhood primed her to understand how global currents can shape an individual life from an early age. Born Yevgenia Leonidovna Veitzman to a Jewish family in the Ukrainian city of Lviv, Muschenetz says her family began trying to leave the country before she was born, hoping to escape the discrimination they faced under the Soviet government. But it wasn’t until she was 10 years old that the family was finally able to emigrate. When they were at last cleared to cross the border, they headed for San Diego, where she decided that Jane would be easier for Americans to pronounce than her given first name. (Ultimately, she would change her last name, too, when she married.) Muschenetz often felt out of place in her new home, even though she was surrounded by other immigrant kids whose parents had moved to California in search of a better life. In one way she was like many American teenage girls, though: She had a lot of feelings, especially about romantic relationships, whether real or imagined, and she often wrote poems about them.   At age 16, she began submitting her poetry to magazines and publishers, which brought her first taste of writerly rejection. “I was like, ‘Oh, well, I tried. Clearly this isn’t for me.’ Even though in my heart, since I was like four years old, I knew I was a writer and I loved literature,” she says.  Her parents were “completely horrified” about the prospect of her pursuing a career in writing, but they weren’t much more excited about what she eventually landed on instead: a degree in political science at UC San Diego. “The response was always ‘Poets get shot. Politicians get shot,’” she says.  She might not have been able to articulate it at age 18, but looking back, Muschenetz makes sense of the decision to study political science as driven by her desire to understand the global forces that caused her family to emigrate. “I wanted to know: How do we structure policy? Who makes these choices, and how can we change them and make them better?” she says. STACY KECK But the dream of writing was hard to let go of. By the time Muschenetz was a few years out of college, she’d applied for two different programs: an MFA in writing and the MBA program at Sloan. And though she didn’t get accepted to the MFA program, her time at Sloan ended up profoundly shaping the poetry she would write two decades later, giving her the statistical analysis and data interpretation skills that formed the backdrop for Power Point. Those were skills she sharpened even further in the years she spent working as a business consultant at Bain right after earning her MBA. “I don’t think the average joe could pull off [what she does in that book], because she knows how to present statistics well,” says Haugen. “She knows how to look at them analytically and offer them up in a way that a layperson can understand.” Muschenetz left the business world after four years at Bain to focus on parenting her two children, as well as serving in various volunteer capacities at their schools and with local community organizations. It wasn’t until the world shut down in 2020 with the onset of the covid-19 pandemic that she found herself getting back in touch with the creative impulses that had animated her previously. Those impulses manifested in part as visual art: Muschenetz began painting a menagerie of animals on the bases of palm fronds she would find on the ground after a big storm in San Diego. “It just felt good, even though it made no sense,” she says. “At the same time, it was keeping me sane.” Being willing to dip her toe into a creative endeavor that she knew she “didn’t have to be good at” also helped open Muschenetz to the idea of getting back to the poetry writing that had made her heart sing as a girl. “Through my high school and early college years, every margin of every notebook was covered with poems or rhymes,” she says. “And then it was just gone. It was scary for me to realize that I had cut that part out of myself, and how bad that was for me.” Coming home to poetry When Muschenetz did start writing again, she thought she might write a collection of poems rooted in domesticity and home life. She was surprised to find that what started flowing out of her instead were poems about her immigrant experience, which had never been the subject of her poetry while she was living it as a teenager. “I thought, ‘Well, shouldn’t I have gotten this out of my system?’ But here I was writing about this aspect of my identity that I never actually had written about before.”  She eventually had enough poems to pull together what became her first collection, titled All the Bad Girls Wear Russian Accents. The book reveals her propensity for weaving together dark and light, humor and tragedy, in a range of poems that cover everything from the war in Ukraine to the experience of being stereotyped for her ability to speak Russian, the language of many American movie villains.  Muschenetz initially thought that writing a book of poetry might be a onetime thing, the kind of undertaking that would allow her to check a box and move on. But as she was promoting her first book, she found herself fixating on a poem she hadn’t even written yet—one in the form of data that would spell out a word. The idea was eventually realized in “100% MOM.”  100% MOM: A PowerPoint Poem about Women and Labor Data sources include: “Life Stages and Populations by Sex,”CDC, NCHS; “Most pregnancy-related deaths are preventable, ”Hear Her Campaign, CDC, 2022; “The U.S. Maternal Mortality Crisis Continues to Worsen: An International Comparison, ”Commonwealth Fund, 2022; “The World’s Women 2020 Trends and Statistics,” United Nations; Oxfam International Inequality Reports: 2020, 2021; “Hard Work Is Not Enough: Women in Low-Paid Jobs,” National Women’s Law Center, July 2023. Detailed citations at technologyreview.com/Muschenetz.ORIGINALLY PUBLISHED IN WHALE ROAD REVIEW, SPRING 2023 That poem was the seed that grew into Power Point, and Muschenetz, whose poetry has been nominated for the Pushcart Prize three times, hasn’t looked back since. In addition to releasing that second volume of poetry, the product of what she calls the “analytic and overachieving brain” that helped her get through (and enjoy) business school, Muschenetz has used those same skills to help the poetry community in San Diego with some of the more practical needs, like grant writing, that are often lacking in communities of artists, says Katie Manning, a local poet and professor emeritus of poetry.  Muschenetz is mostly just happy to have found a way to use poetry to keep integrating and honoring the many different parts of her identity, from immigrant to business consultant.  “It is a huge disservice to all humanity when we ask our scientists or mathematicians or poets to only be that one thing, as opposed to being their whole selves,” she says.  You Are 600% Hotter than the SunBy Jane Muschenetz A cup of the Sun’s core produces ~60 milliwattsof thermal energy. By volume … less than that ofa human [350 mW]. In a sense, you are hotter thanthe Sun—there’s just not as much of you. —Henry Reich, Minute Physics Speaking roughly, in terms of heatgenerated per every human inch, you giveoff more milliwatts—surge/energy. Onlythe Sun is bigger … it matters.We are all blinded by love, the expanding/contractinguniverse is just another metaphorfor longing, and life—its own purpose.How dazzling, this science!Consider falling for a physicist—the painstakingly slow way they undressmathematical mysteries,talk about bodies in motiongets me every time—space —continuum, part, particle—Atomic. Incandescent! Youare, pound-for-pound, more Life-Source,more Bomb, more Season-Spinning Searing CenterHeart/Engine/Radiating Nuclear Dynamicthan the Sun. Can’t look directly in the mirror? Small Wonder! Imagine— none of us powerless.Originally published by Cathexis Northwest Press, May 2024  For Those of Us Forced to FleeBy Jane Muschenetz For those of us forced to fleethe world is forever shrinking down to a single question:What can you carry?The suitcase of your heart closed tighton all the things there was no room to bring—your memories of “home,” the snowflake momentsof your youth, the blooming Lilac treeoutside your bedroom window … a heavy burdensaps your strength on the long journey, bringonly what you need.Homes can be built again,a new tree can be rooted. Survive. When you have nothing left to plant, become the seed. Originally published in Issue 8, The Good Life Review, 2022. It received the 2022 Honeybee Poetry Prize and was nominated for a Pushcart Prize. Find more poetry by Jane Muschenetz at www.palmfrondzoo.com/janewriting.

Jane Muschenetz’s poems don’t look like the sonnets you remember studying in high school English. If anything, they’re more likely to call to mind your statistics class.

Flip through the pages of her poetry chapbook Power Point and you’ll see charts, graphs, and citations galore. One poem visually documents maternal mortality rates and women’s unpaid domestic labor in such a way that the bar and pie graphs spell out the word “MOM.” Another tracks deaths from gun violence across the globe and is presented as a gun-shaped graph. Still others are written in more standard poetic form but include citations that reference documents put out by the US government, the United Nations, and news organizations.

These poems are just a few of the many in Muschenetz’s latest book that wrestle with contemporary social issues using a combination of data-driven insights and the poetic form. The format is a unique one: The first time Hayley Mitchell Haugen, founding editor in chief of Muschenetz’s publisher Sheila-Na-Gig, saw the poems, she thought to herself, “I’ve never seen anything like this before.”

Point Blank
13. “Incidents of firearm mortality per 100K population for high income global economies with populations over 10M,” Institute for Health Metrics Evaluation, United Nations. Graphics treatment by Ingo Muschenetz. 14. “Child and Teen Firearm Mortality in the US and Peer Countries,” per 100K population, KFF.org, July 2023; CDC. Detailed citations at technologyreview.com/Muschenetz.
ORIGINALLY PUBLISHED BY WRITERS RESIST, WINTER 2023

While cold, hard numbers and poetry might seem antithetical at first blush, from Muschenetz’s perspective, the two couldn’t be a better fit. A former business consultant at Bain & Company who received her MBA at the Sloan School of Management, she released her first poetry book in her 40s, and she’s enjoyed uncovering what the artistic and scientific approaches to understanding the world have in common.

“Even though it maybe feels unintuitive that poetry and science are interrelated, they both make connections that are not immediately obvious,” she says. “They test out theories; they take risks. There’s a lot of nonlinear thinking that happens in both.”

Many of the poems in Power Point were inspired by watershed moments in global politics and culture, particularly ones that would shape the lives of women. From the partisan political theater on display at the confirmation hearing of US Supreme Court Justice Ketanji Brown Jackson to the passage of laws restricting women’s freedoms in Iran and Afghanistan, these events often left Muschenetz overwhelmed with frustration at the state of women’s rights today.

But knowing that women’s emotions are so often dismissed, she looked for a way to turn those feelings into something that she hoped would be harder to write off than standard poetry while still evoking the openheartedness with which people tend to approach art.

“I wanted something that listed just facts but expressed how angry I am,” she says. “I really wanted it to be fact-based. I wanted my sources to be publicly available and almost unassailable.” Her hope was that by repackaging these facts in the form of statistics-driven poetry, she might allow readers to receive the information in a new way—and get them thinking.

From Ukraine to California

Muschenetz’s childhood primed her to understand how global currents can shape an individual life from an early age. Born Yevgenia Leonidovna Veitzman to a Jewish family in the Ukrainian city of Lviv, Muschenetz says her family began trying to leave the country before she was born, hoping to escape the discrimination they faced under the Soviet government. But it wasn’t until she was 10 years old that the family was finally able to emigrate. When they were at last cleared to cross the border, they headed for San Diego, where she decided that Jane would be easier for Americans to pronounce than her given first name. (Ultimately, she would change her last name, too, when she married.)

Muschenetz often felt out of place in her new home, even though she was surrounded by other immigrant kids whose parents had moved to California in search of a better life. In one way she was like many American teenage girls, though: She had a lot of feelings, especially about romantic relationships, whether real or imagined, and she often wrote poems about them.  

At age 16, she began submitting her poetry to magazines and publishers, which brought her first taste of writerly rejection. “I was like, ‘Oh, well, I tried. Clearly this isn’t for me.’ Even though in my heart, since I was like four years old, I knew I was a writer and I loved literature,” she says. 

Her parents were “completely horrified” about the prospect of her pursuing a career in writing, but they weren’t much more excited about what she eventually landed on instead: a degree in political science at UC San Diego. “The response was always ‘Poets get shot. Politicians get shot,’” she says. 

She might not have been able to articulate it at age 18, but looking back, Muschenetz makes sense of the decision to study political science as driven by her desire to understand the global forces that caused her family to emigrate. “I wanted to know: How do we structure policy? Who makes these choices, and how can we change them and make them better?” she says.

Jane Muschenetz

STACY KECK

But the dream of writing was hard to let go of. By the time Muschenetz was a few years out of college, she’d applied for two different programs: an MFA in writing and the MBA program at Sloan. And though she didn’t get accepted to the MFA program, her time at Sloan ended up profoundly shaping the poetry she would write two decades later, giving her the statistical analysis and data interpretation skills that formed the backdrop for Power Point. Those were skills she sharpened even further in the years she spent working as a business consultant at Bain right after earning her MBA.

“I don’t think the average joe could pull off [what she does in that book], because she knows how to present statistics well,” says Haugen. “She knows how to look at them analytically and offer them up in a way that a layperson can understand.”

Muschenetz left the business world after four years at Bain to focus on parenting her two children, as well as serving in various volunteer capacities at their schools and with local community organizations. It wasn’t until the world shut down in 2020 with the onset of the covid-19 pandemic that she found herself getting back in touch with the creative impulses that had animated her previously. Those impulses manifested in part as visual art: Muschenetz began painting a menagerie of animals on the bases of palm fronds she would find on the ground after a big storm in San Diego. “It just felt good, even though it made no sense,” she says. “At the same time, it was keeping me sane.”

Being willing to dip her toe into a creative endeavor that she knew she “didn’t have to be good at” also helped open Muschenetz to the idea of getting back to the poetry writing that had made her heart sing as a girl.

“Through my high school and early college years, every margin of every notebook was covered with poems or rhymes,” she says. “And then it was just gone. It was scary for me to realize that I had cut that part out of myself, and how bad that was for me.”

Coming home to poetry

When Muschenetz did start writing again, she thought she might write a collection of poems rooted in domesticity and home life. She was surprised to find that what started flowing out of her instead were poems about her immigrant experience, which had never been the subject of her poetry while she was living it as a teenager. “I thought, ‘Well, shouldn’t I have gotten this out of my system?’ But here I was writing about this aspect of my identity that I never actually had written about before.” 

She eventually had enough poems to pull together what became her first collection, titled All the Bad Girls Wear Russian Accents. The book reveals her propensity for weaving together dark and light, humor and tragedy, in a range of poems that cover everything from the war in Ukraine to the experience of being stereotyped for her ability to speak Russian, the language of many American movie villains. 

Muschenetz initially thought that writing a book of poetry might be a onetime thing, the kind of undertaking that would allow her to check a box and move on. But as she was promoting her first book, she found herself fixating on a poem she hadn’t even written yet—one in the form of data that would spell out a word. The idea was eventually realized in “100% MOM.” 

100% MOM: A PowerPoint Poem about Women and Labor
Data sources include: “Life Stages and Populations by Sex,”CDC, NCHS; “Most pregnancy-related deaths are preventable, ”Hear Her Campaign, CDC, 2022; “The U.S. Maternal Mortality Crisis Continues to Worsen: An International Comparison, ”Commonwealth Fund, 2022; “The World’s Women 2020 Trends and Statistics,” United Nations; Oxfam International Inequality Reports: 2020, 2021; “Hard Work Is Not Enough: Women in Low-Paid Jobs,” National Women’s Law Center, July 2023. Detailed citations at technologyreview.com/Muschenetz.
ORIGINALLY PUBLISHED IN WHALE ROAD REVIEW, SPRING 2023

That poem was the seed that grew into Power Point, and Muschenetz, whose poetry has been nominated for the Pushcart Prize three times, hasn’t looked back since. In addition to releasing that second volume of poetry, the product of what she calls the “analytic and overachieving brain” that helped her get through (and enjoy) business school, Muschenetz has used those same skills to help the poetry community in San Diego with some of the more practical needs, like grant writing, that are often lacking in communities of artists, says Katie Manning, a local poet and professor emeritus of poetry. 

Muschenetz is mostly just happy to have found a way to use poetry to keep integrating and honoring the many different parts of her identity, from immigrant to business consultant. 

“It is a huge disservice to all humanity when we ask our scientists or mathematicians or poets to only be that one thing, as opposed to being their whole selves,” she says. 


You Are 600% Hotter than the Sun
By Jane Muschenetz

A cup of the Sun’s core produces ~60 milliwatts
of thermal energy. By volume … less than that of
a human [350 mW]. In a sense, you are hotter than
the Sun—there’s just not as much of you. 

—Henry Reich, Minute Physics

Speaking roughly, in terms of heat
generated per every human inch, you give
off more milliwatts—surge/energy. Only
the Sun is bigger … it matters.
We are all blinded 
by love, the expanding/contracting
universe is just another metaphor
for longing, and life—its own purpose.
How dazzling, this science!
Consider falling for a physicist—
the painstakingly slow way they undress
mathematical mysteries,
talk about bodies in motion
gets me every time—space 
—continuum, part, particle—
Atomic. Incandescent! You
are, pound-for-pound, more Life-Source,
more Bomb, more Season-Spinning Searing Center
Heart/Engine/Radiating Nuclear Dynamic
than the Sun. Can’t look directly 
in the mirror? Small Wonder! Imagine—

none of us powerless.

Originally published by Cathexis Northwest Press, May 2024 


For Those of Us Forced to Flee
By Jane Muschenetz

For those of us forced to flee
the world is forever shrinking down to a single question:
What can you carry?
The suitcase of your heart closed tight
on all the things there was no room to bring—
your memories of “home,” the snowflake moments
of your youth, the blooming Lilac tree
outside your bedroom window … a heavy burden
saps your strength on the long journey, bring
only what you need.
Homes can be built again,
a new tree can be rooted.

Survive.

When you have nothing left to plant, become the seed.

Originally published in Issue 8, The Good Life Review, 2022. It received the 2022 Honeybee Poetry Prize and was nominated for a Pushcart Prize.

Find more poetry by Jane Muschenetz at www.palmfrondzoo.com/janewriting.

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SBM Offshore Logs Record Annual Revenue

SBM Offshore N.V. has posted record directional revenue for 2024, as well as increases in earnings before interest, taxes, depreciation, and amortization (EBITDA) and net profit. The company said in its annual report that directional revenue jumped 35 percent from 2023, reaching $6.1 billion. The increase, according to the company, was driven by Directional Turnkey revenue, which jumped 45 percent. The Turnkey segment pushed directional EBITDA to $1.9 billion, 44 percent above the $1.3 billion reported for 2023.   Directional net profit increased by over 70 percent to $907 million, mainly reflecting the increase in directional EBITDA, SBM Offshore said. “SBM Offshore has delivered excellent results in 2024 with a record-level directional revenue of $6.1 billion and record-level directional EBITDA of $1.9 billion, reflecting three new awards and the purchases of FPSOs Prosperity and Liza Destiny by ExxonMobil Guyana”, Øivind Tangen, CEO of SBM Offshore, said. “Thanks to the addition of three new awards, we ended the year with a record $35.1 billion backlog”, Tangen said. Tangen said the outlook for new deepwater projects is strong given their low break-even prices and low emission intensity. “In the next three years, we see 16 projects in the company’s core market of large and complex FPSOs, driven by the promising prospects in Brazil, Guyana, Suriname, and Namibia. We have ordered our 10th MPF hull giving us two hulls to support tendering activities. We will remain disciplined in selecting the highest quality projects”, Tangen said. SBM Offshore said its projects are progressing, with the FPSO Almirante Tamandaré achieving its first oil in February 2025. The FPSO Alexandre de Gusmão is en route to Brazil, with the first oil expected in mid-2025. FPSO One Guyana is finalizing commissioning, targeting first oil in the second half of 2025. FPSO Jaguar’s hull arrived in Singapore for

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Cisco, Nvidia expand AI partnership to include Silicon One technology

In addition, Cisco and Nvidia will invest in cross-portfolio technology to tackle common challenges like congestion management and load balancing, ensuring that enterprises can accelerate their AI deployments, Patel stated. The vendors said they would also collaborate to create and validate Nvidia Cloud Partner (NCP) and Enterprise Reference Architectures based on Nvidia Spectrum-X with Cisco Silicon One, Hyperfabric, Nexus, UCS Compute, Optics, and other Cisco technologies. History of Cisco, Nvidia collaborations The announcement is just the latest expansion of the Cisco/Nvidia partnership. The companies have already worked together to make Nvidia’s Tensor Core GPUs available in Cisco’s Unified Computing System (UCS) rack and blade servers, including Cisco UCS X-Series and UCS X-Series Direct, to support AI and data-intensive workloads in the data center and at the edge. The integrated package includes Nvidia AI Enterprise software, which features pretrained models and development tools for production-ready AI. Earlier this month, Cisco said it has shipped the UCS C845A M8 Rack Server for enterprise data center environments. The 8U rack server is built on Nvidia’s HGX platform and designed to deliver the accelerated compute capabilities needed for AI workloads such as LLM training, model fine-tuning, large model inferencing, and retrieval-augmented generation (RAG). The companies are also collaborating on AI Pods, which are preconfigured, validated, and optimized infrastructure packages that customers can plug into their data center or edge environments as needed. The Pods are based on Cisco Validated Design principals, which provide a blueprint for building reliable, scalable, and secure network infrastructures, according to Cisco. The Pods include Nvidia AI Enterprise, which features pretrained models and development tools for production-ready AI, and are managed through Cisco Intersight.

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3 strategies for carbon-free data centers

Because of the strain that data centers (as well as other electrification sources, such as electric vehicles) are putting on the grid, “the data center industry needs to develop new power supply strategies to support growth plans,” Dietrich said. Here are the underling factors that play into the three strategies outlined by Uptime. Scale creates new opportunities: It’s not just that more data centers are being built, but the data centers under construction are fundamentally different in terms of sheer magnitude. For example, a typical enterprise data center might require between 10 and 25 megawatts of power. Today, the hyperscalers are building data centers in the 250-megawatt range and a large data center campus could require 1,000 megawatts of power. Data centers not only require a reliable source of power, they also require backup power in the form of generators. Dietrich pointed out that if a data center operator builds out enough backup capacity to support 250 megawatts of demand, they’re essentially building a new, on-site power plant. On the one hand, that new power plant requires permitting, it’s costly, and it requires highly training staffers to operate. On the other hand, it provides an opportunity. Instead of letting this asset sit around unused except in an emergency, organizations can leverage these power plants to generate energy that can be sold back to the grid. Dietrich described this arrangement as a win-win that enables the data center to generate revenue, and it helps the utility to gain a new source of power. Realistic expectations: Alternative energy sources like wind and solar, which are dependent on environmental factors, can’t technically or economically supply 100% of data center power, but they can provide a significant percentage of it. Organizations need to temper their expectations, Dietrich said.

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Questions arise about reasons why Microsoft has cancelled data center lease plans

This, the company said, “allows us to invest and allocate resources to growth areas for our future. Our plans to spend over $80 billion on infrastructure this fiscal year remains on track as we continue to grow at a record pace to meet customer demand.” When asked for his reaction to the findings, John Annand, infrastructure and operations research practice lead at Info-Tech Research Group, pointed to a blog released last month by Microsoft president Brad Smith, and said he thinks the company “is hedging its bets. It reaffirms the $80 billion AI investment guidance in 2025, $40 billion in the US. Why lease when you can build/buy your own?” Over the past four years, he said, Microsoft “has been leasing more data centers than owning. Perhaps they are using the fact that the lessors are behind schedule on providing facilities or the power upgrades required to bring that ratio back into balance. The limiting factor for data centers has always been the availability of power, and this has only become more true with power-hungry AI workloads.” The company, said Annand, “has made very public statements about owning nuclear power plants to help address this demand. If third-party data center operators are finding it tough to provide Microsoft with the power they need, it would make sense that Microsoft vertically integrate its supply chain; so, cancel leases or statements of qualification in favor of investing in the building of their own capacity.” However, Gartner analyst Tony Harvey said of the report, “so much of this is still speculation.” Microsoft, he added, “has not stated as yet that they are reducing their capex spend, and there are reports that Microsoft have strongly refuted that they are making changes to their data center strategy.” The company, he said, “like any other hyperscaler,

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Quantum Computing Advancements Leap Forward In Evolving Data Center and AI Landscape

Overcoming the Barriers to Quantum Adoption Despite the promise of quantum computing, widespread deployment faces multiple hurdles: High Capital Costs: Quantum computing infrastructure requires substantial investment, with uncertain return-on-investment models. The partnership will explore cost-sharing strategies to mitigate risk. Undefined Revenue Models: Business frameworks for quantum services, including pricing structures and access models, remain in development. Hardware Limitations: Current quantum processors still struggle with error rates and scalability, requiring advancements in error correction and hybrid computing approaches. Software Maturity: Effective algorithms for leveraging quantum computing’s advantages remain an active area of research, particularly in real-world AI and optimization problems. SoftBank’s strategy includes leveraging its extensive telecom infrastructure and AI expertise to create real-world testing environments for quantum applications. By integrating quantum into existing data center operations, SoftBank aims to position itself at the forefront of the quantum-AI revolution. A Broader Play in Advanced Computing SoftBank’s quantum initiative follows a series of high-profile moves into the next generation of computing infrastructure. The company has been investing heavily in AI data centers, aligning with its “Beyond Carrier” strategy that expands its focus beyond telecommunications. Recent efforts include the development of large-scale AI models tailored to Japan and the enhancement of radio access networks (AI-RAN) through AI-driven optimizations. Internationally, SoftBank has explored data center expansion opportunities beyond Japan, as part of its efforts to support AI, cloud computing, and now quantum applications. The company’s long-term vision suggests that quantum data centers could eventually play a role in supporting AI-driven workloads at scale, offering performance benefits that classical supercomputers cannot achieve. The Road Ahead SoftBank and Quantinuum’s collaboration signals growing momentum for quantum computing in enterprise settings. While quantum remains a long-term bet, integrating QPUs into data center infrastructure represents a forward-looking approach that could redefine high-performance computing in the years to come. With

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STACK Infrastructure Pushes Aggressive Data Center Expansion and Sustainability Strategy Into 2025

Global data center developer and operator STACK Infrastructure is providing a growing range of digital infrastructure solutions for hyperscalers, cloud service providers, and enterprise clients. Like almost all of the cutting-edge developers in the industry, Stack is maintaining the focus on scalability, reliability, and sustainability while delivering a full range of solutions, including build-to-suit, colocation, and powered shell facilities, with continued development in key global markets. Headquartered in the United States, the company has expanded its presence across North America, Europe, and Asia-Pacific, catering to the increasing demand for high-performance computing, artificial intelligence (AI), and cloud-based workloads. The company is known for its commitment to sustainable growth, leveraging green financing initiatives, energy-efficient designs, and renewable power sources to minimize its environmental impact. Through rapid expansion in technology hubs like Silicon Valley, Northern Virginia, Malaysia, and Loudoun County, the company continues to develop industry benchmarks for innovation and infrastructure resilience. With a customer-centric approach and a robust development pipeline, STACK Infrastructure is shaping the future of digital connectivity and data management in an era of accelerating digital transformation. Significant Developments Across 23 Major Data Center Markets Early in 2024, Stack broke ground on the expansion of their existing 100 MW campus in San Jose, servicing the power constrained Silicon Valley. Stack worked with the city of San Jose to add a 60 MW expansion to their SVY01 data center. While possibly the highest profile of Stack’s developments, due to its location, at that point in time the company had announced significant developments across 23 major data center markets, including:       Stack’s 48 MW Santa Clara data center, featuring immediately available shell space powered by an onsite substation with rare, contracted capacity. Stack’s 56 MW Toronto campus, spanning 19 acres, includes an existing 8 MW data center and 48 MW expansion capacity,

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Meta Update: Opens Mesa, Arizona Data Center; Unveils Major Subsea Cable Initiative; Forges Oklahoma Wind Farm PPA; More

Meta’s Project Waterworth: Building the Global Backbone for AI-Powered Digital Infrastructure Also very recently, Meta unveiled its most ambitious subsea cable initiative yet: Project Waterworth. Aimed at revolutionizing global digital connectivity, the project will span over 50,000 kilometers—surpassing the Earth’s circumference—and connect five major continents. When completed, it will be the world’s longest subsea cable system, featuring the highest-capacity technology available today. A Strategic Expansion to Key Global Markets As announced on Feb. 14, Project Waterworth is designed to enhance connectivity across critical regions, including the United States, India, Brazil, and South Africa. These regions are increasingly pivotal to global digital growth, and the new subsea infrastructure will fuel economic cooperation, promote digital inclusion, and unlock opportunities for technological advancement. In India, for instance, where rapid digital infrastructure growth is already underway, the project will accelerate progress and support the country’s ambitions for an expanded digital economy. This enhanced connectivity will foster regional integration and bolster the foundation for next-generation applications, including AI-driven services. Strengthening Global Digital Highways Subsea cables are the unsung heroes of global digital infrastructure, facilitating over 95% of intercontinental data traffic. With a multi-billion-dollar investment, Meta aims to open three new oceanic corridors that will deliver the high-speed, high-capacity bandwidth needed to fuel innovations like artificial intelligence. Meta’s experience in subsea infrastructure is extensive. Over the past decade, the company has collaborated with various partners to develop more than 20 subsea cables, including systems boasting up to 24 fiber pairs—far exceeding the typical 8 to 16 fiber pairs found in most new deployments. This technological edge ensures scalability and reliability, essential for handling the world’s ever-increasing data demands. Engineering Innovations for Resilience and Capacity Project Waterworth isn’t just about scale—it’s about resilience and cutting-edge engineering. The system will be the longest 24-fiber-pair subsea cable ever built, enhancing

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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