Pytorch | TensorFlow | JAX
Gallery: Supercomputers & Data Centers
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RELLIS Data and Research Center
March 10, 2026 Update:
The RELLIS Data and Research Center project at Texas A&M’s RELLIS Campus, a privately developed facility with about 10,000 SF of dedicated data center space for high-performance computing, is currently in limbo. Construction began over a year ago, with Phase I (a 45,000 SF two-story building) underway as of late 2025. However, the developer, RELLIS Campus Data and Research Center LLC, filed for Chapter 11 bankruptcy in November 2025, raising uncertainties about completion and future progress. No recent official updates from Texas A&M indicate resumption or cancellation.
November 11, 2025 Update:
The project, located on the Texas A&M University System’s Rellis Campus in Bryan (Brazos County), has faced significant delays. Originally slated to begin construction by November 2021, it was pushed back due to the 2021 Winter Storm Uri. In November 2023, construction was announced to start in 2024, with an expected opening in Q3 2024 (July–September). However, no sources confirm completion or operations.Recent developments include:
- February 2025: Bryan approved a reinvestment zone on the 25-acre site to attract the data center, with ongoing negotiations.
- October 2025: Officials clarified no formal plans have been submitted for the site, despite zoning approvals for potential development.
The project’s official site (rellisdrc.com) states “Site will be available soon,” indicating it’s still under preparation. It’s designed as a 225,000 sq ft Tier III facility with colocation, cloud services, and educational spaces for workforce training.
FYI:
Company building RELLIS Campus Data & Research Center files for bankruptcy
Construction to begin on Rellis data center in Texas in 2024kbtx.com/…/company-building-rellis-campus-data-research-center-files-bankruptcy
The RELLIS Data and Research Center will be a public – private development with Texas A&M University. The data center will be built on the new RELLIS Campus located in College Station, Texas. It will offer cloud storage and outstanding managed services. The RELLIS Academy and Research Lab offers the ability for Texas A&M University to give real world data center experience to both students and faculty.
“What Happens When Data Centers Come to Town”
What Happens When Data Centers Come to Town
Terry Nguyen | BA Public Policy
Ben Green |Assistant Professor, School of Information and Gerald R. Ford School of Public Policy
Partner | Michigan Environmental Justice Coalition
Introduction. [Abstract]. The rapid growth of data centers, with their enormous energy and water demands, necessitates targeted policy interventions to mitigate environmental impacts and protect local communities. To address these issues, states with existing data center tax breaks should adopt sustainable growth policies for data centers, mandating energy audits, strict performance standards, and renewable energy integration, while also requiring transparency in energy usage reporting. “Renewable energy additionality” clauses should ensure data centers contribute to new renewable capacity rather than relying on existing resources. If these measures prove insufficient, states should consider repealing tax breaks to slow unsustainable data center growth. States without tax breaks should avoid such incentives altogether while simultaneously implementing mandatory reporting requirements to hold data centers accountable for their environmental impact. Broader measures should include protecting local tax revenues for schools, regulating utility rate hikes to prevent cost-shifting to consumers, and aligning data center energy demands with state climate goals to avoid prolonging reliance on fossil fuels.
Related:
Sharan Kalwani (Chair, Southeast Michigan Section IEEE): AI and Data Center Demand
Linguistic Map
Anglo-American English must remain the standard language of the AI zeitgeist because it dominates the vast training data fueling large language models—often ~90% English, heavily skewed toward American variants due to Silicon Valley’s influence, internet content prevalence, and U.S. tech leadership.
This ensures peak performance, nuance, and reliability in AI outputs. Their global status as lingua francas in science, programming, and digital culture sustains innovation momentum, cross-border collaboration, and accessibility, preventing fragmentation while the field advances.
| # | Term | Definition |
|---|---|---|
| 1 | Artificial Neural Network (ANN) | A computational model mimicking biological neurons, used in power systems for load forecasting and fault classification by learning patterns from electrical data. |
| 2 | Deep Neural Network (DNN) | Multi-layered ANN for complex tasks like state estimation in grids, enabling deeper analysis of electrical signals for predictive maintenance. |
| 3 | Convolutional Neural Network (CNN) | A DNN specialized for processing grid-like data, applied in image-based fault detection on power lines or substations using drone visuals. |
| 4 | Recurrent Neural Network (RNN) | Neural network handling sequential data, evolved for time-series forecasting in energy demand and renewable integration in electrical networks. |
| 5 | Long Short-Term Memory (LSTM) | An RNN variant that remembers long-term dependencies, used for accurate wind/solar power prediction in dynamic electrical systems. |
| 6 | Graph Neural Network (GNN) | Processes graph-structured data like power grids, optimizing flow analysis and topology estimation in transmission networks. |
| 7 | Generative Adversarial Network (GAN) | Dual-network system generating synthetic data, applied to simulate electrical scenarios for training models in scarce-data power environments. |
| 8 | Reinforcement Learning (RL) | Learning through trial-and-error rewards, used for adaptive control in grid optimization and emergency load shedding. |
| 9 | Deep Reinforcement Learning (DRL) | RL combined with DNNs, enabling autonomous decision-making in real-time power system stability and demand response. |
| 10 | Smart Grid | AI-enhanced electrical distribution network that uses real-time data for self-healing, load balancing, and renewable integration. |
| 11 | Digital Twin | Virtual AI-simulated replica of electrical infrastructure, allowing scenario testing for predictive fault avoidance in power plants. |
| 12 | Edge AI | Decentralized AI processing at network edges, enabling low-latency control in IoT-enabled electrical devices and microgrids. |
| 13 | Neuromorphic Computing | Brain-inspired hardware chips for efficient AI, reducing power consumption in electrotechnical applications like sensor networks. |
| 14 | Tensor Processing Unit (TPU) | Specialized ASIC for AI workloads, accelerating matrix operations in electrical system simulations and optimization. |
| 15 | Predictive Maintenance | AI-driven monitoring of electrical assets (e.g., transformers) to forecast failures using sensor data and ML algorithms. |
| 16 | Optimal Power Flow (OPF) | AI-optimized calculation of efficient power distribution, minimizing losses in transmission lines via ML approximations. |
| 17 | Microgrid | Localized AI-managed grid, enabling autonomous operation with renewables, using RL for energy balancing. |
| 18 | Phasor Measurement Unit (PMU) | High-speed sensor providing synchronized data for AI-based state estimation and oscillation detection in power systems. |
| 19 | Supervisory Control and Data Acquisition (SCADA) | Traditional system evolved with AI for enhanced monitoring, anomaly detection, and automated control in electrical utilities. |
| 20 | High-Impedance Fault (HIF) Detection | AI techniques like SVM or CNN to identify subtle faults in distribution lines, improving safety and reliability. |
| 21 | Load Forecasting | ML models predicting electricity demand, incorporating weather and usage patterns for grid planning. |
| 22 | Demand Response | AI-optimized strategy adjusting consumer loads in real-time, using RL to balance supply in volatile renewable-heavy systems. |
| 23 | Energy Management System (EMS) | AI-integrated platform for overseeing generation, transmission, and distribution, enhancing efficiency with predictive analytics. |
| 24 | Power Electronic Converter (PEC) | Devices like inverters controlled by AI for fault-tolerant operation in renewables and EVs. |
| 25 | Composite Load Model (CLM) | AI-tuned aggregated model of electrical loads, using ML for dynamic simulation in stability studies. |
Electropedia: The World’s Online Electrotechnical Vocabulary
“GV Brew”
Grand Valley State University Statement of Financial Position 2023: $1.057B
Moving into Grand Valley State University | Kent County Michigan
Grand Valley State University | Ottawa County Michigan
Grand Valley State University | Kent County Michigan
The Dutch founded America’s greatest city, got pushed out, and then took over West Michigan. https://t.co/HwfZCjBAbO
— Kurt Steiner (@Kurt_Steiner) February 8, 2026
Grand Valley State University
Located 15 minutes from Traverse City, this Laker alum and his family are celebrating their 10th season at Rove Winery this summer! 🍷🍇 Read about Creighton Gallagher ’06 and his journey to the vineyard here: https://t.co/lJ0eYlL7z7 pic.twitter.com/iAXWXRuglO
— Grand Valley State (@GVSU) August 6, 2025
Student Health and Wellness Center
The Center provides comprehensive healthcare services to students. Located on the Logan campus, the clinic offers a range of medical services including general health check-ups, vaccinations, mental health support, and chronic disease management. Staffed by experienced physicians, nurse practitioners, and support staff, the clinic aims to address both physical and mental health needs. Students can access acute care for illnesses and injuries, preventive care, women’s health services, and counseling.
The clinic also provides lab services, prescriptions, and referrals to specialists when needed. With a focus on promoting wellness and healthy lifestyles, the USU Student Health Clinic ensures that students receive quality care in a supportive environment, contributing to their overall well-being and academic success. The clinic operates on an appointment basis, with some walk-in availability, and is committed to maintaining confidentiality and respect for all students.
Old Main 1890 | C.A. Randall Architect
Guinness Shepherd’s Pie
Shepherd’s Pie is an traditional meal in the United Kingdom featuring a savory meat filling topped with creamy mashed potatoes. Traditionally made with ground lamb or beef, the filling is cooked with onions, carrots, peas, and a rich gravy, often flavored with herbs like thyme or rosemary. The mixture is then layered into a casserole dish and crowned with a generous spread of mashed potatoes, sometimes sprinkled with cheese. Baked until golden and bubbling, it’s a hearty, comforting meal, perfect for cold days. Its origins trace back to resourceful shepherds using leftover meat, making it a staple of home cooking.
Ibid.
Daylight Saving Time
Standard Time Act of 1918 | 18th November 1883 “The Day of Two Noons”
Homage to Salvador Dalí’s famous painting “The Persistence of Memory (1931)”
The time shift results in sunrise and sunset occurring approximately one hour later on the clock than the day before, providing more daylight in the evening and less in the morning.
Start Date: Daylight Saving Time begins on Sunday, March 9, 2025. This is the second Sunday in March, following the schedule established by theEnergy Policy Act of 2005.
Time Change: At 2:00 a.m. local standard time, clocks are set forward one hour to 3:00 a.m. local daylight time. This is often referred to as “springing forward.”
Geographic Scope: Most of the United States observes DST, except for Hawaii and most of Arizona (with the exception of the Navajo Nation, which does observe DST). U.S. territories such as American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands do not participate in DST.
Legal Basis: The rules are governed by the Uniform Time Act of 1966, as amended by the Energy Policy Act of 2005. The U.S. Department of Transportation oversees the implementation, while states and territories have the option to opt out of DST but cannot independently choose to make it permanent without federal approval.
Ovid “The Metamorphoses”
Superseded: Daylight Saving Time Rules
“Time After Time” 1947 Frank Sinatra
Indiana University | Monroe County
“Time After Time (Cindy Lauper Cover) | University of Delaware
University of Wisconsin Eau Clair
The U.S. power grid operates on a synchronized frequency of 60 Hz, maintained across three major interconnections: Eastern, Western, and Texas. During the Daylight Saving Time (DST) switch—typically at 2:00 AM local time on the second Sunday in March (spring forward) or the first Sunday in November (fall back)—the grid’s synchronization is unaffected because it relies on Coordinated Universal Time (UTC), not local time. Grid operators, coordinated by entities like the North American Electric Reliability Corporation (NERC), ensure frequency stability through automatic generation control (AGC) systems, which adjust power output to match demand in real time.
Ω
The DST shift doesn’t disrupt this process. When clocks spring forward (e.g., 2:00 AM becomes 3:00 AM), demand may briefly drop as human activity adjusts, but AGC systems respond instantly, balancing generation and load. In the fall, when clocks fall back (e.g., 2:00 AM repeats), a temporary demand spike might occur, but the grid’s inertial stability—provided by large rotating generators—and real-time monitoring prevent desynchronization. Operators may pre-schedule minor adjustments, but the system’s design, rooted in UTC-based frequency regulation, ensures seamless operation. Thus, while local time shifts, the grid’s 60 Hz hum remains steady across the transition.
Campus Clocks
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
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