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Beyond Colossus: 5C Advances $575M Memphis AI Factory Expansion

Memphis has emerged as a major center of AI infrastructure development, driven largely by the extraordinary scale of xAI’s Colossus supercomputing operations. But the city’s growing AI computing market extends beyond Elon Musk’s flagship project. At the former headquarters and distribution complex of discount retailer Fred’s, 5C Data Centers is developing another substantial AI computing […]

Memphis has emerged as a major center of AI infrastructure development, driven largely by the extraordinary scale of xAI’s Colossus supercomputing operations. But the city’s growing AI computing market extends beyond Elon Musk’s flagship project. At the former headquarters and distribution complex of discount retailer Fred’s, 5C Data Centers is developing another substantial AI computing facility, combining industrial adaptive reuse with a phased expansion strategy and plans for behind-the-meter power generation.

On October 6, 2026, a $575 million commercial alteration permit application was filed for the fourth phase of 5C’s MEM01 data center at 4300 Getwell Road. The application covers approximately 504,000 square feet of the property’s 1.1 million-square-foot building, representing the largest construction phase yet proposed at the site.

MEM01 is already operating. According to September reporting from The Daily Memphian, 5C had established operations in approximately 200,000 square feet of the former Fred’s property, leaving substantial additional space available for conversion. The latest permit application marks a significant escalation in the scope of the development.

The expansion also introduces a major new element to 5C’s power strategy. On October 11, 5C Group Chief Revenue Officer Brad Nimri told The Daily Memphian that the company plans to increase available power at MEM01 from approximately 20 MW to 84 MW over the next six months, using fuel cell technology to supply the additional capacity rather than relying on a corresponding increase in electricity from Memphis Light, Gas and Water (MLGW).

Like Colossus, which began with the conversion of a former Electrolux manufacturing facility, 5C’s development reflects the growing role of industrial adaptive reuse in AI infrastructure. The projects differ considerably in scale and their approaches to on-site power generation, but both illustrate the challenge of transforming existing industrial properties into high-density computing environments with substantial electrical requirements. As Memphis considers tighter oversight of data center development, 5C’s expansion underscores a broader industry challenge: bringing new AI computing capacity online while navigating power constraints, regulatory scrutiny and mounting concerns over the environmental and community impacts of large-scale infrastructure.

From Retail Distribution to AI Infrastructure

The MEM01 development occupies a property with a long history in Memphis commerce. Fred’s operated hundreds of discount retail and pharmacy locations across the southeastern United States before declaring bankruptcy in 2019. Its former headquarters and distribution complex on Getwell Road, near Memphis International Airport, served as a major logistics hub for the regional retail chain.

In June 2026, 5C acquired the 1.1 million-square-foot complex and its approximately 58-acre property from Olymbec USA for $25 million, according to Shelby County property records, securing ownership of a site where data center construction and infrastructure modifications were already underway.

The project’s development history reflects a rapid escalation in scale. Plans submitted in late 2024 and reported in 2025 contemplated converting the property into a data center supporting an initial 15-MW IT load. An April 2025 construction permit, valued at $25 million, described a more limited initial deployment of 2.5 MW, together with infrastructure designed to support future expansion.

Additional permits issued in early 2026 included $100 million for interior construction and $8 million for accessory structures. The October phase-four application, valued at $575 million, represents a substantial increase in the scope of planned construction, although permit valuations do not necessarily represent completed capital expenditures or the project’s total investment.

The expansion also illustrates the distinction between announced capacity and operational computing infrastructure. According to 5C’s published data center portfolio, the Memphis facility’s 20-MW capacity for 2026 is fully committed, with additional capacity listed for subsequent years. That commercial designation does not establish how much electrical capacity has been energized or how much IT load is currently supporting customer workloads. The company has not publicly disclosed a complete inventory of installed and operating AI accelerators at the site, leaving the precise scale of its commissioned computing infrastructure unclear.

Converting a former distribution facility into an AI computing environment presents engineering challenges beyond the availability of industrial floor space. The existing building provides a substantial physical foundation for expansion, but supporting high-density GPU deployments requires extensive electrical distribution, cooling infrastructure, high-bandwidth network connectivity and systems engineered for continuous operation.

These requirements become increasingly demanding as rack power densities rise and computing architectures incorporate more tightly integrated liquid cooling, networking and storage systems. For 5C, the successive construction phases represent not simply the redevelopment of a former warehouse complex, but the creation of specialized infrastructure capable of supporting increasingly powerful generations of AI computing hardware.

Building a Frontier AI Factory

5C has identified its Memphis development as a Frontier AI Factory being built in collaboration with Together AI, reflecting the industry’s shift toward integrated computing environments designed specifically for large-scale AI training and inference. The companies initially outlined an architecture incorporating NVIDIA GB200 NVL72 systems, Dell Technologies’ liquid-cooled Integrated Rack Scalable Systems, VAST Data’s AI storage platform and an accelerated software stack built around the Together Kernel Collection.

The technology plans have continued to evolve. More recently, 5C announced that it was deploying NVIDIA GB300 NVL72 systems at the Memphis facility in partnership with Together AI, working alongside Pegatron, Vertiv and VAST Data. The newer systems reflect the progression toward increasingly powerful rack-scale AI architectures, with corresponding demands on liquid cooling, high-bandwidth networking, storage performance and power distribution. The announcement does not specify the number of GB300 systems commissioned or their operational capacity.

For 5C, the project represents a business model extending beyond conventional data center development and colocation. In addition to providing powered facilities, the company offers GPU cluster deployment, commissioning and management services, supported by specialized field engineering and both InfiniBand and Ethernet networking. Its role encompasses the integration of computing hardware with the physical infrastructure needed to support demanding AI workloads, coordinating systems that might otherwise be delivered and operated by separate providers.

That coordination is central to the execution of modern AI factories. The challenge is not simply installing successive generations of accelerated computing hardware, but bringing compute, networking, storage, cooling and software into operation as a reliable, high-performance platform. At MEM01, the ability to scale that integrated infrastructure will depend in significant part on 5C’s capacity to deliver the electrical power required to support it.

The Power Strategy Takes a Different Direction

The next stage of MEM01’s development centers on a significant expansion of its electrical capacity, with 5C pursuing a combination of utility service and behind-the-meter generation.

According to 5C’s published capacity schedule, the Memphis facility has 20 MW listed for 2026, followed by 64 MW in 2027 and another 35 MW in 2029 and beyond. The company identifies the site’s power sources as both grid-connected and behind-the-meter infrastructure, although its published schedule does not clarify whether the annual figures represent incremental additions or total available capacity.

That distinction becomes important in light of 5C’s latest expansion plans. In October, Group Chief Revenue Officer Brad Nimri said the company intends to increase available power at MEM01 from approximately 20 MW to 84 MW over six months, using fuel cell technology rather than drawing the additional capacity from Memphis Light, Gas and Water (MLGW). The 64-MW difference between those figures corresponds to the capacity listed for 2027 on 5C’s website, but the company has not publicly reconciled the two descriptions or established how much of the proposed expansion would be operational within the announced timeframe.

Fuel cells are attracting growing interest among data center developers as a source of continuous on-site generation that can supplement or reduce dependence on utility-supplied electricity. Unlike conventional gas turbines, fuel cells generate electricity through electrochemical reactions rather than combustion, although their emissions and overall environmental performance depend heavily on the technology, fuel source and associated infrastructure. Systems can operate on hydrogen or hydrogen-rich fuels derived from natural gas and other feedstocks.

For MEM01, 5C has not publicly detailed the proposed equipment supplier, generation capacity, fuel supply arrangements or implementation schedule, leaving important questions about the project’s economics and environmental implications unresolved.

The company’s latest strategy also introduces questions about its previously disclosed utility requirements. During a September 1 briefing to the Memphis City Council, MLGW President and CEO Doug McGowen reported that 5C had already received approval for approximately 9 MW of additional electrical service at Getwell Road during 2026.

He also identified a further 5C expansion of approximately 50 MW among the utility’s prospective large-load projects, with infrastructure requirements still under evaluation. Nimri’s subsequent announcement suggests a greater emphasis on on-site generation, but it remains unclear whether the fuel-cell plan replaces, supplements or otherwise changes that earlier request for additional grid service.

The distinction carries financial implications as well. In August, the Tennessee Valley Authority approved a new Large Data Service rate structure, effective October 1, 2026, establishing higher electricity rates for data centers and a separate capacity commitment charge for qualifying new and expanded loads.

For the initial fiscal 2027 capacity allocation, the charge is $1.521 million per megawatt, generally applying to new contracted loads above the first 5 MW. However, the tariff also provides exemptions for certain previously approved or contracted loads, including qualifying in-flight expansion requests of 100 MW or less during initial implementation. Whether any portion of 5C’s previously requested utility capacity would qualify for those provisions has not been established.

For developers, these requirements add another consideration to the economics of acquiring utility capacity versus generating electricity on-site. Behind-the-meter systems may reduce the amount of new grid capacity a project must secure, but they introduce their own capital costs, fuel requirements, operating obligations and permitting considerations. The financial implications for 5C cannot be established without knowing the configuration of its planned generation and the status of its utility service agreements.

MEM01’s expansion therefore represents more than an increase in available megawatts. It illustrates the increasingly complex decisions facing AI infrastructure developers as they balance grid access, on-site generation, project economics and deployment schedules. For 5C, the central execution challenge will be converting its announced power strategy into reliable electrical capacity capable of supporting the high-density computing systems planned for the Memphis facility.

Financing the Expansion

The scale of 5C’s Memphis expansion reflects the substantial institutional capital flowing into AI infrastructure development. In August 2026, 5C Group announced the closing of $605 million in new debt financing led by Brookfield Asset Management, building on $835 million in equity and debt capital raised in 2025. The earlier financing included equity investment led by Brookfield and debt financing led by Deutsche Bank. Together with capital raised before 2025, the transactions brought 5C’s cumulative financing to more than $1.4 billion.

The company specifically identified the acquisition and construction of its Memphis campus among the activities supported by the new capital, alongside development and expansion projects in Ohio and Phoenix. The financing applies to 5C’s broader North American portfolio, however, and the company has not disclosed how much is allocated to MEM01 or whether the full scope of the latest $575 million construction application is covered by existing financing. The distinction is important as AI infrastructure developers pursue increasingly capital-intensive projects involving both specialized facilities and the computing systems they are designed to support.

5C’s ability to attract that investment follows a significant corporate transformation. In April 2025, Hypertec Cloud acquired 5C Data Centers, coinciding with Hypertec Cloud’s separation from Hypertec Group and the formation of the independent 5C Group. The combination brought together AI cloud infrastructure expertise, hardware procurement and cluster operations with a portfolio of data center development assets. That integrated business model provides the foundation for 5C’s effort to deliver complete AI computing environments rather than conventional powered-space capacity alone.

The financial scale and economic-development expectations surrounding the Memphis project have also varied over time. Initial reporting in May 2025 described anticipated investment exceeding $500 million and more than 250 direct and indirect jobs. In November 2025, however, 5C sought a 15-year payment-in-lieu-of-taxes (PILOT) agreement through the Economic Development Growth Engine for Memphis and Shelby County (EDGE) based on a more narrowly defined project budget of approximately $152 million.

That application included $25 million for property acquisition and $111 million in construction costs, along with plans to create 15 permanent jobs at average annual wages of approximately $103,400. The figures reflect different project scopes and employment measures rather than directly comparable estimates of the same development program.

The proposed tax incentive was never approved. EDGE canceled the November 2025 board meeting at which the application was scheduled for consideration, held no December meeting, and did not return the project to subsequent board agendas, according to October reporting from the Memphis Business Journal. Nevertheless, 5C proceeded with the property acquisition and development without the proposed tax freeze.

The latest $575 million phase-four filing underscores the scale of construction now being contemplated at MEM01, although permit valuations, project investment estimates and company-wide financing represent different financial measures. The project’s evolving employment projections also leave open questions about its eventual contribution to the local economy. How the expansion translates into permanent jobs, local tax revenue and other economic benefits will remain an important consideration as Memphis evaluates further data center development.

Memphis’s Data Center Market Faces a Regulatory Test

The timing of 5C’s expansion places it within an increasingly contentious debate over data center development in Memphis, where city officials are weighing new restrictions amid public concerns about electricity demand, water consumption, air quality and the effects of large-scale computing facilities on surrounding communities.

On October 6, the same day 5C’s phase-four permit filing was reported, the Memphis City Council voted 7-5 to postpone consideration of a proposed 12-month moratorium on new data center development. The measure, sponsored by Councilman JB Smiley Jr. and other council members, would temporarily restrict the processing and approval of certain development and infrastructure permits. A final vote was rescheduled for October 20.

The council has also been considering alternatives to a blanket moratorium. On October 8, members advanced two ordinances on first reading that would amend the city’s Unified Development Code to establish new zoning, land-use and siting standards for data centers and other resource-intensive facilities.

The proposals remain subject to additional readings and potential revisions before becoming law, reflecting an ongoing debate over whether Memphis should temporarily suspend new development approvals or establish permanent standards governing where and how these facilities operate.

The following day, Mayor Paul Young issued an executive order establishing a 90-day policy review of large-scale data center development. The initiative directs a group of technical and policy experts to develop recommendations addressing land use and neighborhood protections, infrastructure requirements, air quality, water and aquifer protection, electricity costs and noise.

The order also calls for public engagement and directs the city’s Engineering Department to incorporate an extended review period of at least five business days into its permitting process during the study. The mayor’s initiative is proceeding independently of the council’s legislative deliberations and does not suspend its authority to enact regulations.

For operators with projects already underway, the emerging regulatory framework introduces uncertainty about the treatment of future expansion. An existing industrial facility may present different zoning and land-use considerations from a newly proposed campus, but that distinction does not necessarily exempt additional construction, power-generation equipment or infrastructure modifications from permitting and environmental requirements.

Whether any eventual moratorium or new development standards would affect subsequent phases of MEM01 will depend on the final regulatory language, the status of existing approvals and any provisions protecting previously authorized development.

Much of the controversy has centered on xAI’s Colossus facilities and their associated natural gas turbine generation, which has prompted legal challenges and sustained scrutiny of air emissions and permitting practices. The broader debate also encompasses water resources, electricity infrastructure, utility costs and the economic returns local communities can expect from major AI investments.

Some city officials and development advocates have cautioned that a moratorium could discourage investment or shift projects to neighboring jurisdictions, while supporters argue that additional scrutiny is necessary before further large-scale development proceeds.

For 5C, the proposed fuel-cell expansion introduces another set of questions into that debate. Although fuel cells operate differently from the gas turbines associated with Colossus, their environmental profile, fuel requirements and permitting obligations cannot be established without additional details about the planned installation.

Ultimately, MEM01’s next phase will test whether 5C can translate its considerable financial commitments, planned computing infrastructure and behind-the-meter power strategy into operational AI capacity amid mounting regulatory scrutiny.

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Virginia’s New Data Center Bargain: Power, Permits and the Right to Build

What Took Effect—and What Still Requires Legislation Spanberger laid out the administration’s rationale in announcing the framework: “In the years before I took office, data centers came to Virginia and the Commonwealth did not have a clear or coordinated plan to address their impacts on Virginians — on their electric bills, their water, their land, their air, or their quality of life. That changes today. I have said many times that Virginia should be leading the nation in setting the highest standards for this industry. And now, I believe we are doing just that.” The distinction between what Virginia has already implemented and what the administration intends to pursue is consequential. Executive Order 22 establishes immediate directives for state agencies, while significant portions of the broader Data Center Accountability Framework remain proposals for the 2027 General Assembly or future regulatory action. Among the immediate changes, executive-branch agencies are prohibited from entering into or enforcing new nondisclosure agreements that conceal material information about proposed commercial data centers, public incentives, resource demands or community impacts. Existing contractual commitments are preserved, with limited exceptions contemplated for extraordinary circumstances, including national security. The prohibition does not yet extend automatically to local governments. The order also excludes new data center projects with anticipated peak electrical demand of 25 MW or greater from the Virginia Business Ready Sites Program and similar discretionary state site-readiness and expedited-review assistance. A separate, potentially more consequential proposal would eliminate by-right development approval for data centers using more than 25 MW, requiring local approval even for projects with prior authorizations. That provision has not been enacted statewide and could introduce significant legal questions concerning established development rights. The administration is also accelerating environmental oversight. Within 120 days of the order, the Office of the Chief Energy Officer must publish an initial

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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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