A few days ago, the Texas Public Utility Commission (PUC) said that it was creating a memo to address issues that Commissioner McAdams touched upon in the July 11 workshop. To recap, Tesla Energy has been working with the PUC and the Electric Reliability Council of Texas (ERCOT).
The focus is on educating the utility and the commission about the benefits of allowing Tesla Powerwall customers in Texas to participate in virtual power plants (VPPs).
Tesla’s U.S. Energy Markets Policy Lead, Arushi Sharma Frank has been present at every meeting and has been working diligently to advocate for clean energy and Tesla Energy’s Texas customers.
The Memo
The previously mentioned future memo addresses some of the issues that Commissioner McAdams brought up in the July 11 workshop. He and Commissioner Glotfelty co-authored the memo.
The memo reads as follows:
As discussed during the June 16, 2022, Open Meeting and July 11, 2022, Aggregated Distributed Energy Resources (DER) Pilot Workshop, we support efforts to create a pilot project to test impacts of small-scale DER aggregation in the ERCOT market.
The pilot will answer questions related to how aggregated distributed generation can support reliability, enhance the wholesale market, incentivize investment, potentially reduce transmission and distribution investments, and support better load management during emergencies.
In the short term, we expect the pilot will bring in vital megawatts (MWs) of resources for participation in the ERCOT market.
ERCOT staff are required to prepare and present a governing document detailing the project scope to ERCOT’s board of directors.
The PUC will form a Task Force to identify operational obstacles to launching a pilot program and to assist ERCOT in drafting the governing document.
The next meeting to discuss the purpose and structure of the Task Force will be held on July 28, 2022. The governing document should be presented to the ERCOT board by October 11, 2022, so that it can meet a desired pilot start in the first quarter of 2023.
The Guiding Principles
The memo included five guiding principles that the commissioners want the pilot project to consider. They are:
- Understand the impact of having ancillary services carried on the distribution system.
- Create a structure that incentivizes competition and attracts broad DER participation through load-serving entities (LSEs).
- Measure the impacts of relieving or causing congestion on the distribution system, and study how to transition distribution-level aggregations to more granular dispatch and settlement.
- Ensure adequate customer protection is in place and information is anonymized.
- Start simple while ensuring economies of scale exist on a MW [megawatt] basis to attract broad participation. The pilot parameters should have the flexibility to progress to more complex scenarios as participation increases.
Project Scope.
This next section of the memo addresses the governing document that shares the project scope with ERCOT’s board of directors. These topics are scale, duration, transmission and distribution utilities participation, interchange of customers, and reliability.
The following is from the memo detailing each topic:
- Scale – Aggregations should be constrained within a load zone, with a single LSE, and served by the same transmission and distribution service provider (TDSP) with the potential for DER Management Systems (DERMS) aggregators to participate in the future. Participating TDSPs may limit pilot area based on feeder availability and information provided by LSEs related to their DER customers.
- Duration – The pilot should continue until implementation of ERCOT market rules to accommodate aggregation or until ERCOT deems the pilot project unnecessary. We expect a minimum of 3 years which will allow for incorporation of EMS upgrades, testing of customer migration, and qualifying resources for ERCOT services.
- TDSP Participation – It is imperative that competitive area transmission and distribution utilities (TDUs) and non-opt-in entities (NOIEs) participating in the pilot are willing participants and actively engaged to ensure safety and quality of experience to their customers. We expect reliability to be the ultimate consideration by TDSPs for qualifying DER customers.
- Interchange of Customers – The acquisition of customers should be handled by the LSE with terms and conditions to provide relevant operational data and a good customer experience that prioritizes affordability and reliability.
- Reliability – TDSPs should have the ability to manage participation considering system constraints, regular maintenance, and emergency situations. ERCOT in participation with the TDSPs shall be enabled to mitigate operational hazards and demands in this new era of transmission and distribution management.
You can read the full memo here. Have tips? You can email them to johnna@teslarati.com.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
In a notable intersection of Big Tech powerhouses, Meta, led by Mark Zuckerberg, has partnered with Canadian energy infrastructure giant Enbridge on a significant renewable energy initiative that will rely on battery technology from Elon Musk’s Tesla.
The project, which was announced this week, marks another step in Meta’s aggressive push to power its expanding data center operations with clean energy, dispelling many of the complaints people have about them.
This new development is located near Cheyenne, Wyoming, and will feature a 365-megawatt (MW) solar farm paired with a 200 MW/1,600 megawatt-hour (MWh) battery energy storage system, also known as BESS. Tesla is providing the batteries for the project, valued at roughly $200 million.
The story was originally reported by Utility Dive.
This Wyoming project represents the first phase of Enbridge and Meta’s joint “Cowboy Project.” Once operational, it will deliver power to Meta’s regional data centers through Cheyenne Light, Fuel, and Power under Wyoming’s Large Power Contract Service tariff.
This tariff, originally developed in collaboration with Microsoft and Black Hills Energy, is designed specifically for large loads like data centers. It ensures that the renewable supply serves hyperscale customers without impacting retail electricity rates for other users.
The battery system will operate under a long-term tolling agreement, providing dispatchable capacity that enhances grid reliability. During periods of high demand, the utility can access the backup generation, addressing one of the key challenges of integrating large-scale renewables with the explosive growth of data center electricity demand driven by artificial intelligence.
This latest collaboration builds on prior joint efforts between Enbridge and Meta in Texas, including the 600 MW Clear Fork Solar, 152 MW Easter Wind, and 300 MW Cone Wind projects. Together with the Wyoming initiative, the companies have now partnered on roughly 1.6 gigawatts (GW) of combined solar, wind, and storage capacity.
The deal highlights the intensifying demand for reliable, low-carbon power from technology giants. Meta has committed to supporting its data center growth with renewable energy, joining peers like Microsoft and Google in seeking large-scale solutions. Enbridge’s Allen Capps described the project as “one of the larger utility-scale battery installations supporting U.S. data center operations and growth.”
The involvement of Tesla’s battery technology adds an intriguing layer, linking two of the world’s most prominent tech leaders—Zuckerberg and Musk—in the clean energy transition.
As data centers continue to drive unprecedented electricity load growth across the United States, projects like this one illustrate how hyperscalers are turning to strategic partnerships with traditional energy players and innovative storage solutions to meet both sustainability goals and reliability needs.
Elon Musk
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
SpaceX has secured an option to acquire Cursor AI for $60 billion ahead of its historic IPO.
SpaceX announced today it has struck a deal with AI coding startup Cursor, securing the option to acquire the company outright for $60 billion later this year, while committing $10 billion for joint development work in the interim. The announcement described the partnership as building “the world’s best coding and knowledge work AI,” and comes just days after Cursor was separately reported to be raising $2 billion at a valuation above $50 billion.
The move makes strategic sense given where each company currently stands. Cursor currently pays retail prices to Anthropic and OpenAI to the same companies competing directly against it with Claude Code and Codex. That means every dollar of revenue Cursor earns partially funds its own competition. With SpaceX bringing computational infrastructure to the Cursor platform, that could reduce Cursor’s dependence on OpenAI and Anthropic’s Claude AI as its providers. Access to SpaceX’s Colossus supercomputer, with compute equivalent to one million Nvidia H100 chips, gives Cursor the infrastructure to run and train its own models at a scale it could never afford independently. That one change restructures the entire unit economics of the business.
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Cursor’s $2 billion in annualized revenue and enterprise reach across more than half of Fortune 500 companies gives SpaceX something its xAI subsidiary currently lacks, which is a proven, fast-growing software business with real enterprise distribution.
For Cursor, SpaceX’s $10 billion in joint development funding is transformational. Cursor raised $3.3 billion across all of 2025 to reach that $2 billion in revenue. A single $10 billion commitment from SpaceX, even as a development payment rather than an acquisition, dwarfs everything Cursor has raised in its entire existence. That capital accelerates product development, enterprise sales infrastructure, and proprietary model training simultaneously.
The timing is deliberate. SpaceX filed confidentially with the SEC on April 1, 2026, targeting a June listing at a $1.75 trillion valuation, in what would be the largest public offering in history. The company is expected to begin its roadshow the week of June 8, with Bank of America, Goldman Sachs, JPMorgan, and Morgan Stanley serving as underwriters. Adding Cursor to the portfolio before that roadshow gives IPO investors a concrete enterprise software revenue story to price in, alongside rockets and satellite internet.
The deal also addresses a weakness that became visible after February’s xAI merger. Several xAI co-founders departed following that acquisition, and SpaceX had already hired two Cursor engineers, signaling where its AI talent strategy was heading. Cursor, for its part, faces a pricing disadvantage competing against Anthropic’s Claude Code.
Whether SpaceX exercises the full acquisition option before its IPO or after remains the open question. Either way, this deal reshapes what investors will be buying into when SpaceX goes public.
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