News
SolarCity Struggles: National Gridlock (Part III)
In this final post within my SolarCity Struggles series I’ll be outlining the additional complexities that surfaced after our local power company, National Grid, got involved.
National Grid-Lock
Having already experienced some delays on my solar project due to architectural redesigns, National Grid jumped into the mix to make things even worse by throwing up one road block after another. There was a conflict of interest for National Grid to assist on the project since we would be shifting more than $170,000 of revenue from them to SolarCity. I’d only see a tiny slice of that by way of my energy savings. Despite many city mandates to be “More Green”, the utility companies clearly have no interest in assisting customers to go solar since it would be counter productive for them.
Roadblock #1
National Grid would not allow “net metering” (where you can re-supply energy through solar power) for two different meters at the same address. SolarCity stepped up and offered to join my two meters and upgrade my panel (from 400A to 600A) in order to support net metering. Accounting issues aside, I agreed to the proposed change and moved forward with yet another site visit that would lead to an engineering redesign.
Roadblock #2
Having (verbally) moved past this, National Grid then reported that the transformer for my area was only capable of handling 23kW of generated power and could not support SolarCity’s proposed 56kW system. This was by the most serious setback since it would require a design that would cut my generation down to 23kW or less. This meant dropping the farm completely and scaling the house from 35kW to 23kW.
A 23kW design called for the front of my house to have solar panels while only a portion of the rear of the house would be retrofitted with panels. This would have looked really odd so we decided to scale back the design to a 18kW system and only include panels on the front of the house.
National Grid informed me that the transformers support between 8 – 12 houses in my area so any neighbors that undergo a solar project will be limited to the remaining 5kW that the transformer can support.
Next Steps
Going from a 56kW to 18kW (a 68% drop in planned production) system will reduce my energy coverage to 32% of my power needs through solar. This is unfortunately the case due to National Grid’s limitation despite my property having enough roof surface to generate 100% of my energy needs.
I will save approximately $56,000 over the next 20 years with this smaller set up, a far departure from the original projected savings of $105,000 but still worth pursuing.
A friendly note from SolarCity arrived on September 1st letting me know that my installation was scheduled for December 8th and 9th because of the magnitude of the project. Considering this 18kW system is a third of what would have been, I couldn’t help but wonder how SolarCity would have handled the original plans. I can’t imagine starting this project in the dead of a New England winter. SolarCity indicated that the project would require 4-6 weeks before the “go live” date which meant I wouldn’t be completing until January 2015. That puts the project at about 10 months from start (initial consultation) to finish and assuming all goes well from here on out.
Summary
SolarCity has made a number of mistakes on this project since the beginning; from improperly sizing the system to not knowing the requirements and restrictions of the local power company; to not following owner requests on layout; to not understanding power generation limits imposed by the power company.
My experience with SolarCity has led me to conclude that they’re not ready for widespread adoption outside of key markets and have a lot of work and learning to do before they will be ready for that next stage of growth.
I truly hope the project moves forward. My next updates will be on the post installation experience which will hopefully take place sometime between now and the end of this year. Stay tuned.
SolarCity Struggles Series – Read from the beginning
Image Source: Sun Powered EVs
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
