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Building better cities

Clara Brenner, MBA ’12, arrived in Cambridge on the lookout for a business partner. She wanted to start her own ­company—and never have to deal with a boss again. She would go it alone if she had to, but she hoped to find someone whose skills would complement her own. It’s a common MBA tale. Many people attend business school with hopes of finding the one. Building that relationship is so important to a company’s foundation that it’s been described in romantic terms: Networking is akin to dating around, and some view settling down with a business partner as a marriage of sorts. Brenner didn’t have to look for long. She met her match—Julie Lein, MBA ’12—soon after arriving at Sloan more than a decade ago. But their first encounter wasn’t exactly auspicious. In fact, their relationship began with an expletive. Lein was sitting at a card table in a hallway in E52, glumly selling tickets to a fashion show featuring work-­appropriate clothes for women—at that time, the marquee event for Sloan’s Women in Management Club, and one that both Lein and Brenner thought was patently absurd.  Lein had no interest in attending, but she wanted to support the club’s mission of boosting women in business. “She looked very miserable,” says Brenner. Lein asked if she wanted to buy a ticket, Brenner recalls, and “I think I said, ‘F*** no.’”  “We both bonded over the fact that this was such a stupid idea,” says Lein. (The fashion show has since been retired, in part thanks to Lein and Brenner’s lobbying.)                              Today, the two run the Urban Innovation Fund, a San Francisco–based venture capital firm that has raised $212 million since 2016 and invested in 64 startups addressing the most pressing problems facing cities. It has supported businesses like Electriphi, a provider of EV charging and fleet management software, which was acquired by one of the biggest names in the auto industry. And it funds companies focused on helping kids learn to code, providing virtual tutoring services, offering financing for affordable housing, and more. The companies in its portfolio have a total value of $5.3 billion, and at least eight have been acquired thus far.                              Though Brenner and Lein hit it off quickly, they weren’t an obvious fit as business partners. Brenner arrived at Sloan after weathering an early career in commercial real estate just after the 2008 financial crash. She hoped to start her own company in that industry. Lein, on the other hand, had worked in political polling and consulting. She initially planned to get an advanced policy degree, until a mentor suggested an MBA. She hoped to start her own political polling firm after graduation.  Ultimately, though, their instant kinship became more important than their subject matter expertise. Brenner, says Lein, is “methodical” and organized, while she “just goes and executes” without overthinking. Their relationship—in business, and still as close friends—is rooted in trust and a commitment to realizing the vision they’ve created together. “We were able to see that … our skills and style were very complementary, and we just were able to do things better and faster together,” says Brenner.  In 2012, the two teamed up to run Sloan’s second Women in Management Conference, which they had helped found the year before. It was then, they say, that they knew they would work together after graduation.  Still, they had trouble agreeing on the type of venture that made the most sense. Their initial talks involved a tug-of-war over whose area of expertise would win—real estate or policy.  But in the summer of 2011, they’d both happened to land internships at companies focused on challenges in cities—companies that would now be called “urban-tech startups,” says Brenner, though that term was not used at the time. The overlap was fortuitous: When they compared notes, they agreed that it made sense to investigate the potential for companies in that emerging space. Lyft was just getting its start, as was Airbnb. After exploring the idea further, the two concluded there was some “there” there. “We felt like all these companies had a lot in common,” says Brenner. “They were solving very interesting community challenges in cities, but in a very scalable, nontraditional way.” They were also working in highly regulated areas that VC firms were often hesitant to touch, even though these companies were attracting significant attention.  To Brenner and Lein, some of that attention was the wrong kind; companies like Uber were making what they saw as obvious missteps that were landing in the news. “No one was helping [these companies] with, like, ‘You should hire a lobbyist’ or ‘You should have a policy team,’” says Brenner. The two saw an opportunity to fund businesses that could make a measurable positive impact on urban life—and to help them navigate regulatory and policy environments as they grew from startups to huge companies.  Upon graduating in 2012, they launched Tumml, an accelerator program for such startups. The name was drawn from the Yiddish word tummler, often used by Brenner’s grandmother to describe someone who inspires others to action.  At the time, Brenner says, “world-­positive investing” was “not cool at all” among funders because it was perceived as yielding lower returns, even though growing numbers of tech companies were touting their efforts to improve society. In another unusual move, the partners structured their startup accelerator as a nonprofit evergreen fund, allowing them to invest in companies continuously without setting a fixed end date. By the end of their third year, they were supporting 38 startups.  Tumml found success by offering money, mentorship, and guidance, but the pair realized that relying solely on fickle philanthropic funding meant the model had a ceiling. To expand their work, they retired Tumml and launched the Urban Innovation Fund in 2016 with $24.5 million in initial investments. While Tumml had offered relatively small checks and support to companies at the earliest stages, UIF would allow Brenner and Lein to supercharge their funding and involvement.  Their focus has remained on startups tackling urban problems in areas such as public health, education, and transportation. The types of companies they look for are those that drive economic vitality in cities, make urban areas more livable, or make cities more sustainable. As Tumml did, UIF provides not just funding but also consistent support in navigating regulatory challenges. “It’s a very, very small subset of companies that can both work on a problem that, at least in our minds, really matters and be an enormous business.” And, like Tumml, UIF has taken on industries or companies that other investors may see as risky. When it was raising its first fund, Lein remembers, they pitched a large institution on its vision, which includes investing in companies that work on climate and energy. The organization, burned by the money it lost when the first cleantech bubble burst, was extremely wary—it wasn’t interested in a fund that emphasized those areas. But Lein and Brenner pressed on. Today, climate tech remains one of the fund’s largest areas, accounting for more than a sixth of its portfolio of 64 companies (see “Urban innovation in action,” at right). In addition to Electriphi, they have invested in Public Grid, a company that gives households access to affordable clean energy, and Optiwatt, an app that helps EV drivers schedule charging at times of day when it is cheaper or cleaner.                              “They took risks in areas, [including] mobility and transportation, where other people might not play because of policy and regulation risk. And they were willing to think about the public-private partnerships and what might be needed,” says Rachel Sheinbein, MBA ’04, SM ’04, a Bay Area–based angel investor who has worked with the Urban Innovation Fund on investments. “They weren’t afraid to take that on.” Lein and Brenner have also invested in health companies like Cleancard, which is working to provide at-home testing for cancers, and startups creating workflow tools, like KarmaSuite, which has built software to help nonprofits track grants.  Meanwhile, they have cast a wide net and built a portfolio rich in companies that happen to be led by entrepreneurs from underrepresented groups: Three-quarters of the companies in UIF’s current portfolio were founded by women or people of color, and nearly 60% include an immigrant on their founding team.   When it comes to selecting companies, Brenner says, they make “very calculated decisions” based in part on regulatory factors that may affect profits. But they’re still looking for the huge returns that drive other investors.  “It’s a very, very small subset of companies that can both work on a problem that, at least in our minds, really matters and be an enormous business,” she says. “Those are really the companies that we’re looking for.” One of the most obvious examples of that winning combination is Electriphi. When Brenner and Lein invested in the company, in 2019, the Biden administration hadn’t mandated the electrification of federal auto fleets, and the Inflation Reduction Act, which included financial incentives for clean energy, hadn’t yet been drafted. And California had yet to announce its intention to completely phase out gas-powered cars. “It was not a hot space,” says Brenner. But after meeting with Electriphi’s team, both Brenner and Lein felt there was something there. The partners tracked the startup for months, saw it achieving its goals, and ended up offering it the largest investment, by several orders of magnitude, that their fund had ever made. Less than two years later, Ford acquired it for an undisclosed sum.  “When we were originally talking about Electriphi, a lot of people were like, ‘Eh, it’s going to take too long for fleets to transition, and we don’t want to make a bet at this time,’” Sheinbein recalls. But she says the partners at Urban Innovation Fund were willing to take on an investment that other people were “still a little bit hesitant” about. Sheinbein also invested in the startup.  GABRIELA HASBUN Impact investing has now taken root in the building where Lein and Brenner first met. What was once an often overlooked investing area, says Bill Aulet, SM ’94, managing director of the Martin Trust Center for MIT Entrepreneurship, is now a core element of how Sloan teaches entrepreneurship. Aulet sees Urban Innovation Fund’s social-enterprise investing strategy as very viable in the current market. “Will it outperform cryptocurrency? Not right now,” he says, but he adds that many people want to put their money toward companies with the potential to improve the world.  Lein, who worked as Aulet’s teaching assistant at Sloan for a class now known as Entrepreneurship 101, helped establish the mold at Sloan for a social-impact entrepreneur—that is, someone who sees doing good as a critical objective, not just a marketing strategy. “Entrepreneurs don’t just have to found startups,” says Aulet. “You can also be what we call an entrepreneurship amplifier,” which he defines as “someone who helps entrepreneurship thrive.” When they make investments, VCs tend to prioritize such things as the need for a company’s products and the size of its potential market. Brenner and Lein say they pay the most attention to the team when deciding whether to make a bet: Do they work together well? Are they obsessive about accomplishing their goals? Those who have watched UIF grow say Brenner and Lein’s partnership fits that profile itself.  “I can just tell when a team really respects each other and [each] sees the value in the other one’s brain,” says Sheinbein. For Lein and Brenner, she says, their “mutual respect and admiration for each other” is obvious.  “We went to Sloan, we spent a bunch of money, but we found each other,” says Lein.  “We couldn’t agree on a new urban-tech startup to start,” she adds, so instead, they built an ecosystem of them—all in the name of improving cities for the people who live there. 

Clara Brenner, MBA ’12, arrived in Cambridge on the lookout for a business partner. She wanted to start her own ­company—and never have to deal with a boss again. She would go it alone if she had to, but she hoped to find someone whose skills would complement her own.

It’s a common MBA tale. Many people attend business school with hopes of finding the one. Building that relationship is so important to a company’s foundation that it’s been described in romantic terms: Networking is akin to dating around, and some view settling down with a business partner as a marriage of sorts.

Brenner didn’t have to look for long. She met her match—Julie Lein, MBA ’12—soon after arriving at Sloan more than a decade ago. But their first encounter wasn’t exactly auspicious. In fact, their relationship began with an expletive.

Lein was sitting at a card table in a hallway in E52, glumly selling tickets to a fashion show featuring work-­appropriate clothes for women—at that time, the marquee event for Sloan’s Women in Management Club, and one that both Lein and Brenner thought was patently absurd. 

Lein had no interest in attending, but she wanted to support the club’s mission of boosting women in business. “She looked very miserable,” says Brenner. Lein asked if she wanted to buy a ticket, Brenner recalls, and “I think I said, ‘F*** no.’” 

“We both bonded over the fact that this was such a stupid idea,” says Lein. (The fashion show has since been retired, in part thanks to Lein and Brenner’s lobbying.)                             

Today, the two run the Urban Innovation Fund, a San Francisco–based venture capital firm that has raised $212 million since 2016 and invested in 64 startups addressing the most pressing problems facing cities. It has supported businesses like Electriphi, a provider of EV charging and fleet management software, which was acquired by one of the biggest names in the auto industry. And it funds companies focused on helping kids learn to code, providing virtual tutoring services, offering financing for affordable housing, and more. The companies in its portfolio have a total value of $5.3 billion, and at least eight have been acquired thus far.                             

Though Brenner and Lein hit it off quickly, they weren’t an obvious fit as business partners. Brenner arrived at Sloan after weathering an early career in commercial real estate just after the 2008 financial crash. She hoped to start her own company in that industry. Lein, on the other hand, had worked in political polling and consulting. She initially planned to get an advanced policy degree, until a mentor suggested an MBA. She hoped to start her own political polling firm after graduation. 

Ultimately, though, their instant kinship became more important than their subject matter expertise. Brenner, says Lein, is “methodical” and organized, while she “just goes and executes” without overthinking. Their relationship—in business, and still as close friends—is rooted in trust and a commitment to realizing the vision they’ve created together.

“We were able to see that … our skills and style were very complementary, and we just were able to do things better and faster together,” says Brenner. 


In 2012, the two teamed up to run Sloan’s second Women in Management Conference, which they had helped found the year before. It was then, they say, that they knew they would work together after graduation. 

Still, they had trouble agreeing on the type of venture that made the most sense. Their initial talks involved a tug-of-war over whose area of expertise would win—real estate or policy. 

But in the summer of 2011, they’d both happened to land internships at companies focused on challenges in cities—companies that would now be called “urban-tech startups,” says Brenner, though that term was not used at the time. The overlap was fortuitous: When they compared notes, they agreed that it made sense to investigate the potential for companies in that emerging space. Lyft was just getting its start, as was Airbnb. After exploring the idea further, the two concluded there was some “there” there.

“We felt like all these companies had a lot in common,” says Brenner. “They were solving very interesting community challenges in cities, but in a very scalable, nontraditional way.” They were also working in highly regulated areas that VC firms were often hesitant to touch, even though these companies were attracting significant attention. 

To Brenner and Lein, some of that attention was the wrong kind; companies like Uber were making what they saw as obvious missteps that were landing in the news. “No one was helping [these companies] with, like, ‘You should hire a lobbyist’ or ‘You should have a policy team,’” says Brenner.

The two saw an opportunity to fund businesses that could make a measurable positive impact on urban life—and to help them navigate regulatory and policy environments as they grew from startups to huge companies. 

Upon graduating in 2012, they launched Tumml, an accelerator program for such startups. The name was drawn from the Yiddish word tummler, often used by Brenner’s grandmother to describe someone who inspires others to action. 

At the time, Brenner says, “world-­positive investing” was “not cool at all” among funders because it was perceived as yielding lower returns, even though growing numbers of tech companies were touting their efforts to improve society. In another unusual move, the partners structured their startup accelerator as a nonprofit evergreen fund, allowing them to invest in companies continuously without setting a fixed end date. By the end of their third year, they were supporting 38 startups. 

Tumml found success by offering money, mentorship, and guidance, but the pair realized that relying solely on fickle philanthropic funding meant the model had a ceiling. To expand their work, they retired Tumml and launched the Urban Innovation Fund in 2016 with $24.5 million in initial investments. While Tumml had offered relatively small checks and support to companies at the earliest stages, UIF would allow Brenner and Lein to supercharge their funding and involvement. 

Their focus has remained on startups tackling urban problems in areas such as public health, education, and transportation. The types of companies they look for are those that drive economic vitality in cities, make urban areas more livable, or make cities more sustainable. As Tumml did, UIF provides not just funding but also consistent support in navigating regulatory challenges.

“It’s a very, very small subset of companies that can both work on a problem that, at least in our minds, really matters and be an enormous business.”

And, like Tumml, UIF has taken on industries or companies that other investors may see as risky. When it was raising its first fund, Lein remembers, they pitched a large institution on its vision, which includes investing in companies that work on climate and energy. The organization, burned by the money it lost when the first cleantech bubble burst, was extremely wary—it wasn’t interested in a fund that emphasized those areas. But Lein and Brenner pressed on. Today, climate tech remains one of the fund’s largest areas, accounting for more than a sixth of its portfolio of 64 companies (see “Urban innovation in action,” at right). In addition to Electriphi, they have invested in Public Grid, a company that gives households access to affordable clean energy, and Optiwatt, an app that helps EV drivers schedule charging at times of day when it is cheaper or cleaner.                             

“They took risks in areas, [including] mobility and transportation, where other people might not play because of policy and regulation risk. And they were willing to think about the public-private partnerships and what might be needed,” says Rachel Sheinbein, MBA ’04, SM ’04, a Bay Area–based angel investor who has worked with the Urban Innovation Fund on investments. “They weren’t afraid to take that on.”

Lein and Brenner have also invested in health companies like Cleancard, which is working to provide at-home testing for cancers, and startups creating workflow tools, like KarmaSuite, which has built software to help nonprofits track grants. 

Meanwhile, they have cast a wide net and built a portfolio rich in companies that happen to be led by entrepreneurs from underrepresented groups: Three-quarters of the companies in UIF’s current portfolio were founded by women or people of color, and nearly 60% include an immigrant on their founding team.  

When it comes to selecting companies, Brenner says, they make “very calculated decisions” based in part on regulatory factors that may affect profits. But they’re still looking for the huge returns that drive other investors. 

“It’s a very, very small subset of companies that can both work on a problem that, at least in our minds, really matters and be an enormous business,” she says. “Those are really the companies that we’re looking for.”

One of the most obvious examples of that winning combination is Electriphi. When Brenner and Lein invested in the company, in 2019, the Biden administration hadn’t mandated the electrification of federal auto fleets, and the Inflation Reduction Act, which included financial incentives for clean energy, hadn’t yet been drafted. And California had yet to announce its intention to completely phase out gas-powered cars. “It was not a hot space,” says Brenner.

But after meeting with Electriphi’s team, both Brenner and Lein felt there was something there. The partners tracked the startup for months, saw it achieving its goals, and ended up offering it the largest investment, by several orders of magnitude, that their fund had ever made. Less than two years later, Ford acquired it for an undisclosed sum. 

“When we were originally talking about Electriphi, a lot of people were like, ‘Eh, it’s going to take too long for fleets to transition, and we don’t want to make a bet at this time,’” Sheinbein recalls. But she says the partners at Urban Innovation Fund were willing to take on an investment that other people were “still a little bit hesitant” about. Sheinbein also invested in the startup. 

Clara Brenner and Julie Lein.

GABRIELA HASBUN

Impact investing has now taken root in the building where Lein and Brenner first met. What was once an often overlooked investing area, says Bill Aulet, SM ’94, managing director of the Martin Trust Center for MIT Entrepreneurship, is now a core element of how Sloan teaches entrepreneurship.

Aulet sees Urban Innovation Fund’s social-enterprise investing strategy as very viable in the current market. “Will it outperform cryptocurrency? Not right now,” he says, but he adds that many people want to put their money toward companies with the potential to improve the world. 

Lein, who worked as Aulet’s teaching assistant at Sloan for a class now known as Entrepreneurship 101, helped establish the mold at Sloan for a social-impact entrepreneur—that is, someone who sees doing good as a critical objective, not just a marketing strategy.

“Entrepreneurs don’t just have to found startups,” says Aulet. “You can also be what we call an entrepreneurship amplifier,” which he defines as “someone who helps entrepreneurship thrive.”

When they make investments, VCs tend to prioritize such things as the need for a company’s products and the size of its potential market. Brenner and Lein say they pay the most attention to the team when deciding whether to make a bet: Do they work together well? Are they obsessive about accomplishing their goals? Those who have watched UIF grow say Brenner and Lein’s partnership fits that profile itself. 

“I can just tell when a team really respects each other and [each] sees the value in the other one’s brain,” says Sheinbein. For Lein and Brenner, she says, their “mutual respect and admiration for each other” is obvious. 

“We went to Sloan, we spent a bunch of money, but we found each other,” says Lein. 

“We couldn’t agree on a new urban-tech startup to start,” she adds, so instead, they built an ecosystem of them—all in the name of improving cities for the people who live there. 

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Planning reforms to deliver clean energy projects ‘at least a year faster’

The UK government says clean energy projects and other major infrastructure will be delivered “at least a year faster” on average under accelerated planning reforms. The government said “burdensome” statutory consultation requirements for major projects will be scrapped through amendments to the Planning and Infrastructure Bill. Reforming the planning system was a key pledge of the Labour party ahead of its election victory last year amid frustration from the energy sector over delays. The reforms will cut down the average two-year statutory pre-consultation period by half, the government said, “paving the way for new roads, railways and windfarms”. Altogether, the government estimates the reforms could save over £1 billion for industry and taxpayers within the current term of parliament. Deputy Prime Minister and housing secretary Angela Rayner said the UK “can’t afford to have projects held up by tiresome requirements and uncertainty”. “We are strengthening the Planning and Infrastructure Bill to make sure we can lead the world again with new roads, railways, and energy infrastructure as part of the Plan for Change, whilst ensuring local people still have a say in our journey to get Britain building,” Rayner said. ‘Significant step forward’ for renewable energy RenewableUK head of policy James Robottom welcomed the government announcement and said the reforms are a “significant step forward for the renewable energy industry”. “The industry has a long track record of engaging early and closely with local communities and a wide range of environmental stakeholders, and this will continue as we want to carry on building projects with local support by giving communities a clear voice in the decision-making process,” he said. Ørsted UK country manager Benj Sykes said the changes will allow developers to “focus on the issues that matter to stakeholders and local communities, and to our developments”.

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Cloudbrink pushes SASE boundaries with 300 Gbps data center throughput

Those core components are functionally table stakes and don’t really serve to differentiate Cloudbrink against its myriad competitors in the SASE market. Where Cloudbrink looks to differentiate is at a technical level through a series of innovations including: Distributed edge architecture: The company has decoupled software from hardware, allowing their platform to run across 800 data centers by leveraging public clouds, telco networks and edge computing infrastructure. This approach reduces network latency from 300 milliseconds to between 7 and 20 milliseconds, the company says. This density dramatically improves TCP performance and responsiveness. Protocol optimization: Cloudbrink developed its own algorithms for SD-WAN optimization that bring enterprise-grade reliability to last mile links. These algorithms significantly improve efficiency on consumer broadband connections, enabling enterprise-grade performance over standard internet links. Integrated security stack: “We’ve been able to produce secure speeds at line rate on our platform by bringing security to the networking stack itself,” Mana noted. Rather than treating security as a separate overlay that degrades performance, Cloudbrink integrates security functions directly into the networking stack. The solution consists of three core components: client software for user devices, a cloud management plane, and optional data center connectors for accessing internal applications. The client intelligently connects to multiple edge nodes simultaneously, providing redundancy and application-specific routing optimization. Cloudbrink expands global reach Beyond its efforts to increase throughput, Cloudbrink is also growing its global footprint. Cloudbrink today announced a global expansion through new channel agreements and the opening of a Brazil office to serve emerging markets in Latin America, Korea and Africa. The expansion includes exclusive partnerships with WITHX in Korea, BAMM Technologies for Latin America distribution and OneTic for African markets. The company’s software-defined FAST (Flexible, Autonomous, Smart and Temporary) Edges technology enables rapid deployment of points of presence by leveraging existing infrastructure from multiple

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CIOs could improve sustainability with data center purchasing decisions — but don’t

CIOs can drive change Even though it’s difficult to calculate an organization’s carbon footprint, CIOs and IT purchasing leaders trying to reduce their environmental impact can influence data center operators, experts say. “Customers have a very large voice,” Seagate’s Feist says. “Don’t underestimate how powerful that CIO feedback loop is. The large cloud accounts are customer-obsessed organizations, so they listen, and they react.” While DataBank began using renewable energy years ago, customer demand can push more data center operators to follow suit, Gerson says. “For sure, if there is a requirement to purchase renewable power, we are going to purchase renewable power,” she adds.

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Copper-to-optics technology eyed for next-gen AI networking gear

Broadcom’s demonstration and a follow-up session explored the benefits of further developing CPC, such as reduced signal integrity penalties and extended reach, through channel modeling and simulations, Broadcom wrote in a blog about the DesignCon event. “Experimental results showed successful implementation of CPC, demonstrating its potential to address bandwidth and signal integrity challenges in data centers, which is crucial for AI applications,” Broadcom stated. In addition to the demo, Broadcom and Samtec also authored a white paper on CPC that stated: “Co-packaged connectivity (CPC) provides the opportunity to omit loss and reflection penalties from the [printed circuit board (PCB)] and the package. When high speed I/O is cabled from the top of the package advanced PCB materials are not necessary. Losses from package vertical paths and PCB routing can be transferred to the longer reach of cables,” the authors stated. “As highly complex systems are challenged to scale the number of I/O and their reach, co- packaged connectivity presents opportunity. As we approach 224G-PAM4 [which uses optical techniques to support 224 Gigabits per second data rates per optical lane] and above, system loss and dominating noise sources necessitate the need to re-consider that which has been restricted in the back of the system architect’s mind for years: What if we attached to the package?” At OFC, Samtec demonstrated its Si-FlyHD co-packaged cable assemblies and Samtec FlyoverOctal Small Form-factor Pluggable (OSFP) over the Samtec Eye Speed Hyper Low Skew twinax copper cable. Flyover is Samtec’s proprietary way of addressing signal integrity and reach limitations of routing high-speed signals through traditional printed circuit boards (PCBs). “This evaluation platform incorporates Broadcom’s industry-leading 200G SerDes technology and Samtec’s co-packaged Flyover technology. Si-Fly HD CPC offers the industry’s highest footprint density and robust interconnect which enables 102.4T (512 lanes at 200G) in a 95 x

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The Rise of AI Factories: Transforming Intelligence at Scale

AI Factories Redefine Infrastructure The architecture of AI factories reflects a paradigm shift that mirrors the evolution of the industrial age itself—from manual processes to automation, and now to autonomous intelligence. Nvidia’s framing of these systems as “factories” isn’t just branding; it’s a conceptual leap that positions AI infrastructure as the new production line. GPUs are the engines, data is the raw material, and the output isn’t a physical product, but predictive power at unprecedented scale. In this vision, compute capacity becomes a strategic asset, and the ability to iterate faster on AI models becomes a competitive differentiator, not just a technical milestone. This evolution also introduces a new calculus for data center investment. The cost-per-token of inference—how efficiently a system can produce usable AI output—emerges as a critical KPI, replacing traditional metrics like PUE or rack density as primary indicators of performance. That changes the game for developers, operators, and regulators alike. Just as cloud computing shifted the industry’s center of gravity over the past decade, the rise of AI factories is likely to redraw the map again—favoring locations with not only robust power and cooling, but with access to clean energy, proximity to data-rich ecosystems, and incentives that align with national digital strategies. The Economics of AI: Scaling Laws and Compute Demand At the heart of the AI factory model is a requirement for a deep understanding of the scaling laws that govern AI economics. Initially, the emphasis in AI revolved around pretraining large models, requiring massive amounts of compute, expert labor, and curated data. Over five years, pretraining compute needs have increased by a factor of 50 million. However, once a foundational model is trained, the downstream potential multiplies exponentially, while the compute required to utilize a fully trained model for standard inference is significantly less than

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Google’s AI-Powered Grid Revolution: How Data Centers Are Reshaping the U.S. Power Landscape

Google Unveils Groundbreaking AI Partnership with PJM and Tapestry to Reinvent the U.S. Power Grid In a move that underscores the growing intersection between digital infrastructure and energy resilience, Google has announced a major new initiative to modernize the U.S. electric grid using artificial intelligence. The company is partnering with PJM Interconnection—the largest grid operator in North America—and Tapestry, an Alphabet moonshot backed by Google Cloud and DeepMind, to develop AI tools aimed at transforming how new power sources are brought online. The initiative, detailed in a blog post by Alphabet and Google President Ruth Porat, represents one of Google’s most ambitious energy collaborations to date. It seeks to address mounting challenges facing grid operators, particularly the explosive backlog of energy generation projects that await interconnection in a power system unprepared for 21st-century demands. “This is our biggest step yet to use AI for building a stronger, more resilient electricity system,” Porat wrote. Tapping AI to Tackle an Interconnection Crisis The timing is critical. The U.S. energy grid is facing a historic inflection point. According to the Lawrence Berkeley National Laboratory, more than 2,600 gigawatts (GW) of generation and storage projects were waiting in interconnection queues at the end of 2023—more than double the total installed capacity of the entire U.S. grid. Meanwhile, the Federal Energy Regulatory Commission (FERC) has revised its five-year demand forecast, now projecting U.S. peak load to rise by 128 GW before 2030—more than triple the previous estimate. Grid operators like PJM are straining to process a surge in interconnection requests, which have skyrocketed from a few dozen to thousands annually. This wave of applications has exposed the limits of legacy systems and planning tools. Enter AI. Tapestry’s role is to develop and deploy AI models that can intelligently manage and streamline the complex process of

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Podcast: Vaire Computing Bets on Reversible Logic for ‘Near Zero Energy’ AI Data Centers

The AI revolution is charging ahead—but powering it shouldn’t cost us the planet. That tension lies at the heart of Vaire Computing’s bold proposition: rethinking the very logic that underpins silicon to make chips radically more energy efficient. Speaking on the Data Center Frontier Show podcast, Vaire CEO Rodolfo Rossini laid out a compelling case for why the next era of compute won’t just be about scaling transistors—but reinventing the way they work. “Moore’s Law is coming to an end, at least for classical CMOS,” Rossini said. “There are a number of potential architectures out there—quantum and photonics are the most well known. Our bet is that the future will look a lot like existing CMOS, but the logic will look very, very, very different.” That bet is reversible computing—a largely untapped architecture that promises major gains in energy efficiency by recovering energy lost during computation. A Forgotten Frontier Unlike conventional chips that discard energy with each logic operation, reversible chips can theoretically recycle that energy. The concept, Rossini explained, isn’t new—but it’s long been overlooked. “The tech is really old. I mean really old,” Rossini said. “The seeds of this technology were actually at the very beginning of the industrial revolution.” Drawing on the work of 19th-century mechanical engineers like Sadi Carnot and later insights from John von Neumann, the theoretical underpinnings of reversible computing stretch back decades. A pivotal 1961 paper formally connected reversibility to energy efficiency in computing. But progress stalled—until now. “Nothing really happened until a team of MIT students built the first chip in the 1990s,” Rossini noted. “But they were trying to build a CPU, which is a world of pain. There’s a reason why I don’t think there’s been a startup trying to build CPUs for a very, very long time.” AI, the

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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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