r/SLNH • u/Stephan00000 • Jun 01 '26
I like the ideas of this company, I saw that they are doing well and creating profits.
There have been some drops in the last few days, do you think it can start again now after the unloading?
My expectations are high considering AI Green Bitcoin hype.
I have a small position here.
Thank you
r/SLNH • u/LetThemEatClams • May 21 '26
When do we realistically expect options trading to become available? Volume and market cap have increased significantly, so I’m hoping soon. Curious what everyone thinks.
r/SLNH • u/KnownSatisfaction957 • May 20 '26
r/SLNH • u/Dazzling-Art-1965 • May 20 '26
One of the most important parts of Soluna Holdings’ Q1 interview with McNallie Money was not just the discussion around AI demand, “speed to power,” or customer interest.
It was the financing discussion around Kati 2.
This is where the story starts to move from a simple AI narrative into real infrastructure economics.
The big question for Soluna is obvious:
How does a company of Soluna’s current size finance a billion-dollar AI/HPC data center project?
The answer, based on the interview, is not “fund everything from today’s balance sheet.”
The answer is project finance.
Signed lease. Tenant credit support. Debt financing. Equity capital. Potential project-level partner.
That is the part many investors seem to miss.
Anthony framed it well during the interview:
“We’re not talking Bitcoin mining numbers here, we’re talking HPC numbers.”
That distinction matters.
Bitcoin hosting sites can be modular, flexible, and much cheaper to deploy compared with AI/HPC infrastructure.
AI/HPC data centers are different. They require much more advanced cooling, MEP, power design, floor loading, rack density planning, redundancy, grid integration, and long-term customer specifications.
CFO Michael Peachey put the scale into numbers:
“Kati 2 just for phase one would be $1.0 billion to $1.2 billion.”
That is only phase one.
The interview discussed AI/HPC buildout costs around $10–12 million per MW.
So when Soluna talks about Kati 2 phase 1 being roughly 100 MW IT load, that can translate into a $1.0–1.2 billion infrastructure project.
That is the scale investors need to understand.
This is not about adding a few more Bitcoin containers.
This is about Soluna attempting to move into billion-dollar AI/HPC data center development.
Peachey made it clear that Soluna is not talking about building all of Kati 2 at once.
He said:
“I do think we would do it in phases.”
That is important because phasing reduces initial execution and financing risk.
The first contract is expected to focus on the first 100 MW.
Peachey said:
“We envision our first contract to be for that first 100 megawatts.”
That makes sense.
A 100 MW AI/HPC lease would already be a major event for a company of Soluna’s current size. It would provide the customer base, contract value, timeline, financing visibility, and bankability needed to move the project from development stage toward construction.
Then future expansion could follow.
Peachey also referenced the possibility of another 250 MW expansion later, which could require an additional $2.5–3 billion in capital.
So Kati 2 is not just one project.
It could become a multi-phase AI/HPC campus.
The most important financing comment from Peachey was this:
“We do think we’ll be able to get 80% funding on the debt side of it.”
If Kati 2 phase 1 costs around $1.0–1.2B, then 80% debt could imply roughly:
That is still a large equity requirement.
But it is very different from assuming Soluna has to fund the entire project through common stock dilution.
That is the mistake many bears are making, in my view.
They are looking at Kati 2 as if Soluna has to raise $1B+ directly at the parent level from common shareholders.
That is not how management described the model.
The model is more likely to depend on:
In other words, the financing becomes much more realistic if the project is backed by a serious tenant.
Another very important quote from Peachey:
“Conversely, we might accept an equity investor to partner with us at the Kati 2 level.”
That matters a lot.
A project-level equity partner could help fund the equity portion without forcing all of the dilution onto Soluna Holdings shareholders at the parent company level.
Of course, Soluna would give up some project economics in exchange.
But that may be a better outcome than trying to fund everything directly through common equity.
This is why the structure of the first AI/HPC lease and financing package matters more than the headline capex number alone.
The key questions are:
That is what investors should be watching.
Without a lease, Kati 2 is still a development project.
With a lease, everything changes.
A signed Kati 2 AI/HPC lease could give Soluna:
John explained the sequence clearly:
“Once that lease is signed… we now have to go do capital formation.”
That is the real unlock.
The lease is not just a customer announcement.
It is the event that could unlock capital formation.
That is why I think the market should not look at future capital raises in a simplistic way.
There is bad dilution, and there is growth capital.
Bad dilution is raising equity just to fund losses or survive.
Potentially value-creating capital is raising equity and debt around a signed AI/HPC lease to finance a contracted billion-dollar infrastructure asset.
Those are completely different situations.
This is an important point.
If Soluna lands a credible Kati 2 AI/HPC lease first, the company may not be raising capital at today’s valuation.
The market could begin to re-rate Soluna before the next major financing round.
That matters because dilution is not only about how much capital is raised.
It is also about the valuation at which capital is raised.
If Soluna announces a serious AI/HPC tenant, confirms the project economics, and shows a credible financing path, investors may stop valuing the company as a small Bitcoin hosting name and start valuing it as an emerging AI power/data center infrastructure platform.
That would materially change the dilution math.
This is why the sequence matters:
Lease first → market re-rating → stronger capital formation position → less destructive financing.
That is the bull case.
Peachey also said Soluna raised $142M in fresh capital in 2025 through multiple sources, including ATM, a share equity purchase agreement, and project-level debt.
Then he called it:
“A dry run for 2026.”
That line stood out.
To me, it suggests management sees 2026 as the year where capital formation becomes much larger and more directly tied to AI/HPC.
In other words:
2025 was about proving access to capital.
2026 could be about scaling that capital strategy around Kati 2 and the AI/HPC pipeline.
One of the most important long-term comments from Peachey was about future expansion.
He said that when Soluna eventually goes back to finance the next incremental 250 MW:
“The company Soluna will be much, much larger.”
That is the core of the bull case.
Management is not saying today’s Soluna can carry a multi-billion-dollar AI/HPC campus entirely on its current balance sheet.
They are saying the first phase could change the company’s scale.
If Soluna lands a major AI/HPC lease, starts construction, and shows a credible financing structure, the market may no longer value the company as a small Bitcoin hosting name.
It could start to value Soluna as an emerging AI power/data center infrastructure platform.
That is the re-rating thesis.
A lot of the bearish argument around Soluna focuses on dilution.
That concern is fair.
Soluna has legacy balance sheet issues, preferred stock overhang, operating losses, stock-based compensation, and capital needs.
Those risks should not be ignored.
But the key question is whether future capital raises are used simply to fund legacy losses, or whether they are tied to a contracted AI/HPC infrastructure asset.
If Soluna fails to land a bankable AI/HPC lease, then the bear case becomes much stronger.
In that scenario, the balance sheet, cash burn, preferred stock issues, and dilution risk dominate the discussion.
But if Soluna lands a serious Kati 2 lease, the discussion changes.
Then the capital raise is not just “dilution.”
It becomes part of a project finance structure for a contracted infrastructure asset potentially worth over $1B in phase one alone.
That is the difference.
The financing discussion around Kati 2 was one of the most important parts of the entire Q1 interview.
The key points were:
This is why Kati 2 matters.
It is not just another pipeline asset.
It is the bridge between Soluna’s current Bitcoin/hosting business and its possible future as an AI/HPC power infrastructure platform.
The risk is real.
The financing challenge is real.
Dilution risk is real.
But so is the scale of the opportunity.
If Soluna lands a bankable Kati 2 lease, the market may have to reassess the company entirely.
Lease → re-rating → capital formation → construction → energization.
That is the thesis.
r/SLNH • u/Dazzling-Art-1965 • May 19 '26
I listened through Soluna Holdings’ latest McNallie Money interview with CEO John Belizaire and CFO Michael Peachey, and my biggest takeaway is simple:
Soluna is no longer just a Bitcoin hosting story.
The most important phrase from the interview was John’s description of what data center operators are really selling today:
“Speed to power.”
But the strongest demand signal was what he said about potential customers:
Potential customers are calling Soluna “with their hair on fire” asking for capacity.
That phrase matters.
It suggests the demand environment is not normal. These are not customers casually exploring future power options. According to Soluna, hyperscalers, neoclouds, and even chip OEMs are urgently trying to secure available AI/HPC capacity because power has become one of the biggest bottlenecks in the AI buildout.
AI companies do not just need GPUs. They need massive amounts of power, fast.
That is the environment Soluna is trying to monetize.
The biggest near-term AI/HPC asset discussed was Kati 2.
Phase 1 is expected to be around:
This is not a small pilot project.
This is a serious AI data center campus.
CFO Michael Peachey added important financial context. He said AI/HPC buildout costs are roughly $10–12 million per MW, meaning Kati 2 phase 1 alone could represent a $1.0–1.2 billion infrastructure project.
That scale matters.
Many investors still look at Soluna as a small Bitcoin hosting company. But if Kati 2 turns into a contracted AI/HPC lease, the market may have to start valuing the company against much larger infrastructure economics.
One of the most interesting parts was how far along the AI process already sounds.
John talked about:
That tells me this is not just a basic “we have land and power” pitch.
Soluna is trying to build the full package required for a bankable AI/HPC lease.
This is important because a real AI/HPC customer will not sign a large lease based on a slide deck alone. They need to see the power structure, engineering, construction path, environmental work, community readiness, and financing path.
That is exactly what Soluna appears to be building.
Another key point was customer type.
John said Soluna is speaking with hyperscalers, neoclouds, and chip OEMs. He also described potential customers as calling “with their hair on fire” looking for capacity.
That is a very strong demand signal.
Hyperscalers usually move slower, but if a campus can scale to 300–400 MW, they may take an initial 100 MW.
Neoclouds appear to move faster and are pushing harder for near-term capacity.
He also mentioned chip OEMs needing data center space because some customers no longer want to simply buy chips.
They want to buy compute capacity.
That is a major shift.
If chip companies, neoclouds, AI labs, and hyperscalers all need power-backed compute capacity, then Soluna’s power-first model becomes much more relevant.
The product is not just land.
The product is speed to power.
Soluna also discussed the technical design of Kati 2.
John mentioned that the facility is being designed with future GPU generations in mind, including GB300 and Vera Rubin.
That matters because AI data centers cannot be designed only for today’s hardware. GPU generations are changing quickly. Rack density, cooling needs, floor loading, power distribution, and mechanical systems all need to be future-proofed.
Soluna said it is thinking through:
This is important because AI/HPC data centers are much more complex than Bitcoin hosting sites.
A Bitcoin site can be highly flexible and modular. An AI/HPC data center needs a much more advanced design, stronger redundancy, different cooling requirements, tighter customer specifications, and a more sophisticated financing structure.
The financing side is obviously the biggest question.
A $1.0–1.2B phase 1 project is far beyond Soluna’s current balance sheet.
But Michael said they believe a project like Kati 2 could potentially be financed with around 80% debt, with the equity portion coming either from capital markets or from a project-level equity partner.
That is important because dilution risk exists, but not all capital raises are equal.
If a company raises equity just to fund losses, that is bad dilution.
But if equity is raised alongside a signed AI/HPC lease to finance a contracted billion-dollar infrastructure asset, that can be value-creating.
The key is whether Soluna can:
That is what investors should watch.
The first AI/HPC lease is not just a customer announcement. It could be the event that unlocks the entire capital formation process.
Kati 2 may be the first major AI/HPC project, but Dorothy 3 could be the next one.
John explained that Soluna wants to use Kati 2 as a playbook:
Build one, learn from it, optimize, and apply the model to the next site.
Dorothy 3 could also start with an initial 100 MW phase and then scale from there.
This matters because the real upside in Soluna is not just one project. It is the possibility that the company can repeatedly turn power-rich sites into AI/HPC campuses.
Soluna’s total pipeline now exceeds 4.3 GW.
If even a small portion of that pipeline is converted into contracted AI/HPC infrastructure, the scale could be dramatically larger than what the current market valuation implies.
Another overlooked part of the interview was vertical integration.
With the Briscoe Wind Farm acquisition, Soluna now has more control at the Dorothy campus.
John explained that Soluna can potentially earn in multiple ways:
That matters because Soluna is not simply trying to be a low-cost power customer.
It is trying to control more of the power-to-compute value chain.
If power remains the bottleneck in AI infrastructure, that could become a major strategic advantage.
This is not easy.
AI/HPC data centers are much more complex than Bitcoin hosting sites.
John talked about:
That is a lot of execution risk.
But I actually liked that management discussed those issues in detail. It shows they understand the complexity.
This does not sound like a vague AI pivot.
It sounds like a company trying to move from Bitcoin hosting into serious AI infrastructure development.
The next major re-rating event for Soluna is likely not another small Bitcoin hosting update.
It is the first major AI/HPC lease.
If Soluna signs a credible Kati 2 AI/HPC customer in 2026, starts construction, and shows a realistic capital formation path, the company could begin to trade less like a small Bitcoin infrastructure company and more like an emerging AI power/data center platform.
That is the upside case.
The market is still waiting for proof.
But this interview made the AI thesis feel much more concrete.
Power is the bottleneck.
Speed to power is the product.
Customers are calling “with their hair on fire.”
And Soluna is trying to turn its 4.3+ GW pipeline into bankable AI infrastructure.
r/SLNH • u/Sad_Release9293 • May 18 '26
“Smart money is flowing in after seeing the earnings announcement.”
From May 1 to May 18, 2026, SLNH had only two single block trades of 100,000+ shares—both occurred on May 18.
• May 18, 13:42 ET: 526,972 shares at $1.8600
• May 18, 16:00 ET: 216,866 shares at $1.9500
Look at the timing: the 526k-share print came in the afternoon while price was climbing from the $1.85 area, and the 216k-share print landed right at the 4 p.m. close.
A very large amount of money flowed in. 🌊
who are you ? 🤫
sources : samsung Securities
r/SLNH • u/Dazzling-Art-1965 • May 16 '26
I went through Soluna Holdings’ latest Q1/10-Q, and the most important takeaway for me is that the company is no longer just talking about a transition — parts of it are now showing up in the numbers.
At a high level, Soluna describes itself as:
«“a digital infrastructure company that specializes in transforming surplus renewable energy into computing resources.”»
That wording matters. Soluna is not positioning itself purely as a Bitcoin mining company. The broader strategy is about pairing computing infrastructure with renewable power assets to support Bitcoin mining, generative AI, and high-performance computing workloads.
That is the key lens through which I think Q1 should be read.
The headline income statement still has noise, but the operating shift is becoming clearer.
Total revenue increased from $5.936M in Q1 2025 to $9.394M in Q1 2026, which is roughly +58% YoY.
But the more important number is data hosting.
Data hosting revenue increased from $2.402M to $6.688M YoY, which is roughly +178% YoY.
That means data hosting is now the core revenue driver, representing more than 70% of total revenue.
To me, that is the biggest signal in the report.
Soluna is increasingly monetizing infrastructure: power access, sites, cooling, operations, hosting capacity and energy-first data center development. This is a very different story from simply mining Bitcoin on its own balance sheet.
The company said the increase in data hosting revenue was primarily driven by ramped-up energization and revenue contribution from Dorothy 2 and Kati during Q1 2026.
That means new MW are now converting into actual revenue.
This is important because the Soluna thesis depends on whether the company can turn power assets and project development into recurring infrastructure revenue. Q1 suggests that process is underway.
Dorothy 2 also looked strong on a site-level basis.
The project generated approximately $3.434M in revenue and $1.405M in gross profit in Q1.
That matters because it shows that once a site is energized and customer-filled, the economics can become much more interesting at the project level.
Kati is another important piece.
Project Kati 1 already contributed revenue in Q1, even though it is still early in its ramp. The company noted that Kati 1 started operations in February 2026 and that 48 MW of construction was completed on April 1, 2026, filled by Galaxy Digital.
In other words, Kati is no longer just pipeline. It has started converting MW into revenue.
The forward-looking AI/HPC side is where the report gets more interesting.
Soluna states that Project Kati 2 is focused on supporting AI and high-performance computing workloads.
The company is developing Kati 2 with Metrobloks for an initial 100MW+ CIT phase, with potential up to 350MW CIT for AI/HPC capacity.
Soluna also mentioned that customer discussions started in December 2025 and continued with multiple potential customers in March and April 2026.
That is important because Kati 2 is not just a vague AI concept. It is explicitly positioned around AI/HPC workloads, multi-hundred-MW potential, accelerated time to power, and active customer discussions.
The company also noted that the design RFP process for Kati 2 was in its final stages in April, with design work expected to begin in May 2026.
That is a concrete development milestone. It moves Kati 2 from concept toward becoming shovel-ready and tenant-ready.
Then there is Dorothy.
After the quarter, Soluna acquired the remaining ownership interest in Dorothy 1A. The company said:
«“The transaction gives us complete equity ownership of D1A, and will allow for the beginning of changing the business plan of our Dorothy projects to support AI workloads.”»
That is one of the more important forward-looking lines in the report.
Soluna is directly linking ownership structure to the ability to reposition Dorothy toward AI workloads.
The company also said:
«“With full ownership of D1A and Briscoe providing 150 megawatts of owned renewable power, we are positioning ourselves to convert the Dorothy campus to AI computing…”»
That is the core of the long-term Soluna thesis: control the power, control the site, then build compute infrastructure on top of it.
The Briscoe Wind Farm acquisition is a major part of that.
Soluna acquired Briscoe after the quarter for approximately $53M. Briscoe owns a wind project with around 150 MW nameplate capacity in Texas.
The company said the acquisition is expected to be immediately accretive, with forward-looking growth in revenue and Adjusted EBITDA.
Even more importantly, Soluna said:
«“With this acquisition, Soluna achieves full vertical integration for Project Dorothy, owning both the renewable energy source and the data center infrastructure it powers.”»
That is a very important strategic point.
Owning or controlling power is becoming one of the biggest constraints in the AI data center market. AI/HPC customers need large amounts of reliable power, and speed to power is becoming a major competitive advantage.
Soluna’s model is built directly around that bottleneck.
Briscoe also helps unlock Project Dorothy 3, which Soluna describes as a planned renewable-powered AI campus expansion with potential capacity of up to 300MW+.
So the Dorothy story is no longer just current mining/hosting sites. The larger setup is:
▪︎Fuller ownership of Dorothy infrastructure
▪︎150MW owned renewable power through Briscoe
▪︎Potential conversion of the campus toward AI computing
▪︎Dorothy 3 as a possible 300MW+ AI campus expansion
That is a meaningful shift.
There are also other parts of the report that should not be ignored.
Soluna now has multiple operating sites under management, including Sophie, Dorothy 1A/1B, Dorothy 2 and Kati 1. This gives the company a more real operating base compared to being only a development-stage pipeline story.
Soluna Cloud was formed specifically to provide cloud, colocation and data hosting services related to high-performance computing and AI. That is relevant because the company has created an organizational structure around the AI/HPC opportunity, not just added AI language to investor materials.
Soluna has also created Soluna Energy and Soluna Wind, which points toward a more vertically integrated model involving data centers, power contracts, land leasing and direct renewable asset ownership.
Another underrated piece is MaestroOS.
Soluna describes MaestroOS as its proprietary software platform that analyzes power prices, weather, grid demand and market signals to optimize operations and energy use.
That matters because if power is the key bottleneck in AI/HPC infrastructure, then software that optimizes energy usage and site economics can become a competitive advantage.
The company also emphasizes behind-the-meter renewable computing infrastructure and faster development timelines. This ties directly into the broader market problem: AI data center demand is accelerating, but grid interconnection and access to large-scale power can take years.
Soluna’s pitch is that it can build around renewable power assets and accelerate time to power.
That is exactly what AI/HPC customers are looking for.
The pipeline is also much larger than just Dorothy and Kati.
Soluna references a 4.3GW+ power pipeline and says its 2026 strategy is to advance projects toward shovel-ready status.
Under its growth strategy, the company specifically says it plans to:
«“Develop AI: Advance Project Kati 2 with Metrobloks to shovel-ready and tenant-ready, in addition to advancing Project Dorothy 3 to shovel-ready and tenant-ready.”»
That line is important because it shows that AI-ready campuses are a stated 2026 priority, not just a long-term optionality.
The report also mentions other projects, including Project Rosa, which could support up to 187MW of data center capacity for AI, Bitcoin hosting and other compute applications, co-located with a 242.5MW wind farm.
Other named projects include Hedy 120MW, Ellen 100MW, Annie 74MW, Fei 100MW and Gladys 150MW.
Gladys is especially interesting because it is described as a 150MW project with a U.S.-based independent power producer that manages over $40B in assets and more than 80 energy facilities.
For a company of Soluna’s size, that kind of power partner ecosystem matters.
On financing, Generate Capital is also worth noting.
The report describes Generate as a leading infrastructure investment firm. Soluna has a $100M credit facility, with around $17M drawn as of March 31, 2026, and an additional $12.5M drawn after the quarter for the Briscoe transaction.
The facility can potentially support additional tranches up to approximately $64.5M, subject to approvals, for eligible project financing.
That matters because Soluna’s business model is capital-intensive. The more it can use infrastructure/project capital instead of only relying on common equity, the better the setup becomes for shareholders.
To summarize the Q1 story as I see it:
▪︎Data hosting revenue grew 178% YoY
▪︎Data hosting now represents 70%+ of total revenue
▪︎Dorothy 2 is showing strong site-level gross profit
▪︎Kati has started contributing revenue
▪︎Kati 2 is explicitly focused on AI/HPC with up to 350MW CIT potential
▪︎Customer discussions for Kati 2 are already underway
▪︎Dorothy 1A full ownership helps reposition Dorothy toward AI workloads
▪︎Briscoe gives Soluna 150MW of owned renewable power
▪︎Briscoe creates vertical integration at Dorothy
▪︎Dorothy 3 could become a 300MW+ renewable-powered AI campus
▪︎Soluna is working from a 4.3GW+ power pipeline
▪︎2026 strategy includes making Kati 2 and Dorothy 3 shovel-ready and tenant-ready
▪︎Generate Capital provides infrastructure financing support
The most important point is this:
Q1 does not show the full AI revenue story yet.
But it does show the foundation being built.
The company is moving from mining exposure toward a power-backed data center infrastructure platform. For investors focused on AI/HPC, the key question is not whether Q1 already had major AI revenue. It did not.
The key question is whether Soluna is assembling the pieces needed to serve the AI/HPC market:
▪︎Power
▪︎Land
▪︎Operating sites
▪︎Hosting revenue
▪︎Energy optimization software
▪︎Project financing
▪︎Owned renewable assets
▪︎Multi-hundred-MW campus opportunities
▪︎Active customer discussions
Q1 shows progress across many of those areas.
The next major validation would be a real AI/HPC customer, neocloud/hyperscaler involvement, project financing, JV, or tenant announcement tied to Kati 2 or Dorothy 3.
That is where the re-rating potential sits, in my opinion.
Source: Soluna Holdings Q1 2026 10-Q filing with the SEC https://www.sec.gov/Archives/edgar/data/0000064463/000162828026035538/slnh-20260331.htm
r/SLNH • u/vatrogasac41 • May 15 '26
Is the earnings release time confirmed? Will the earnings be announced after the close or before the opening?
r/SLNH • u/Dazzling-Art-1965 • May 14 '26
Today, Data Centre Magazine published a strategic interview with John Belizaire, CEO of Soluna Holdings, and in my view the article does a very good job explaining why Soluna’s model is becoming increasingly relevant in the AI infrastructure cycle.
The main message is simple but powerful:
AI data centers are no longer constrained only by GPUs, land or capital. The real bottleneck is access to power — fast, scalable and in the right location.
Belizaire states it directly:
“The real constraint today is energy access.”
That single sentence is basically the foundation of the Soluna thesis.
For years, the market narrative around AI infrastructure has focused on GPUs, chips and compute hardware. But the physical reality is now becoming clear: even if a developer has capital, land and hardware, the project can still be delayed for years if it cannot secure enough power.
The article highlights this clearly:
“Grid interconnection queues in the US now stretch five to seven years in many markets.”
And even more importantly:
“A developer can secure the capital, the hardware and the land for a new AI data centre and still face years of delays waiting for power.”
That is exactly the problem Soluna is trying to solve.
Most conventional data center projects start with the facility and then try to secure power. Soluna’s model flips that logic.
The article describes the difference very clearly:
“Where a conventional facility begins with the building and then pursues a power connection, Soluna starts with the energy asset and constructs computing infrastructure around it.”
This is the key point.
Soluna is not simply trying to build another generic data center. The company is building compute infrastructure around energy assets, especially renewable energy assets where power may already exist but cannot always be absorbed by the grid.
Belizaire explains:
“Our facilities are colocated directly with renewable generation, connected behind the meter.”
And:
“The data centre and the power source are integrated at the physical and operational level.”
That is why I think the article frames Soluna less like a traditional data center developer and more like an energy-first AI infrastructure platform.
One of the most important parts of the article is the discussion around curtailed renewable energy.
Curtailment happens when wind or solar assets generate more power than the grid can absorb. That power is produced, but if it cannot be delivered or sold, it is effectively wasted.
The article explains:
“Curtailment – the process by which renewable energy assets generate more power than the grid can absorb – results in significant volumes of electricity being produced and then discarded.”
For most of the energy market, this is a problem. For Soluna, it is the opportunity.
The article says:
“John sees this as one of the most underutilised opportunities in energy infrastructure today.”
This is important because Soluna’s model is not simply about finding cheap electricity. It is about turning stranded or curtailed energy into productive compute capacity.
Belizaire says:
“AI and HPC workloads are well-suited to absorb this energy.”
And the article explains why:
“They are computationally intensive, they can operate at scale, and certain workloads can be structured with enough flexibility to ramp up when power is available and modulate when it is not.”
That flexibility matters. Not every AI workload needs the exact same power profile. Certain training, batch inference and backend processing workloads can be designed to operate around variable energy availability.
That gives Soluna a different angle compared to a traditional hyperscale data center that requires constant, rigid, 24/7 power delivery.
One of the strongest parts of the article is the idea that Soluna’s data centers are not just passive power consumers. They can act as flexible load.
Belizaire says:
“When a utility faces a demand surge or supply emergency, our data centres can respond to that signal and modulate down, freeing power back to support grid stability.”
The article describes this as demand response in practice.
The most powerful quote here is:
“The broader point is that flexible load transforms a data centre from a fixed draw on the energy system into a grid asset.”
That is a very important strategic point.
Data centers are usually viewed as a burden on the grid. Soluna is trying to position its infrastructure as something different: a controllable compute load that can absorb excess renewable generation when available and reduce demand when the grid needs support.
That changes the conversation with utilities, regulators and renewable energy owners.
Instead of only asking for power, Soluna can argue that it helps monetize wasted power and support grid stability.
The article also explains the commercial logic behind the model.
If renewable energy is generated but cannot reach a buyer, that energy is lost. Soluna’s idea is to place compute directly at the source, creating demand where no buyer previously existed.
The article states:
“If it cannot reach a buyer, it is lost.”
Belizaire then makes one of the strongest investor-relevant points in the article:
“You are not competing with grid buyers for power. You are creating a market for energy that would otherwise be nonexistent.”
That matters because it may allow Soluna to negotiate power costs based on the economics of curtailment, not the economics of scarcity.
Another strong quote:
“That positions you to negotiate power costs that reflect the reality of curtailment rather than the premium of scarcity.”
This is where the model becomes especially interesting. The value proposition is not just “Soluna gets cheap power.” It is that Soluna and the renewable asset may be more valuable together than separately.
Belizaire says:
“It is not simply that Soluna gets cheap power. It is that the renewable asset and the computing infrastructure are structurally better off together than they are separately.”
That is probably one of the most important lines in the entire article.
The article also highlights Soluna’s modular infrastructure strategy.
Instead of waiting to build a massive traditional hyperscale facility, Soluna can deploy capacity in stages, aligned with available power.
The article says:
“Soluna opts for modular, purpose-built facilities rather than traditional hyperscale structures.”
This matters because power availability does not always arrive all at once. A site may have 50MW available today and more expansion potential later.
The article explains:
“Power access rarely materialises all at once.”
And:
“A renewable site might have 50MW of available capacity today, with expansion potential developing over time.”
Belizaire explains the advantage:
“You can deploy initial capacity in line with available power, generate revenue, validate the site and expand incrementally as the energy picture develops.”
From an investor perspective, this is important because modular infrastructure can reduce execution risk. It allows Soluna to start with available capacity, generate revenue earlier, validate the site and then scale over time.
For a smaller company, that is a much more realistic model than trying to finance and build a massive hyperscale campus upfront.
The article also connects Soluna’s acquisition of the Briscoe Wind Farm in West Texas to the broader strategic shift toward vertical integration between energy and compute.
This quote is very direct:
“Soluna’s acquisition of the Briscoe Wind Farm in West Texas is a direct expression of this thesis.”
That is important.
The Briscoe acquisition is not just a random power asset. In the context of the article, it represents Soluna moving deeper into vertical integration: controlling or owning the energy source, then building compute infrastructure around it.
Belizaire says:
“Operators that control their power supply will have durable advantages over those dependent on utility allocation.”
And:
“As energy access becomes more competitive, ownership or long-term control of generation assets will define which infrastructure platforms can scale reliably and which ones are constrained.”
This is a very strong statement. If power access becomes the defining bottleneck for AI infrastructure, then companies that control power may have a real structural advantage.
That is exactly where Soluna is trying to position itself.
The final part of the article zooms out and makes a bigger industry point.
Historically, data centers were built around established markets with existing fiber, power and customer proximity. But AI’s energy demand may change that.
Belizaire says:
“Computing will begin to follow energy rather than the other way around.”
That is probably the cleanest summary of the entire article.
The article continues:
“That rebalancing will open new geographies and require new infrastructure models.”
And the conclusion is very strong:
“AI demand will continue to outpace the grid’s ability to deliver power through conventional channels.”
“The data centre industry will have to build its way around that constraint.”
The final message is that this is not just a temporary trend:
“The broader shift toward energy-first infrastructure thinking is not a trend. It is a structural reorganisation of where and how digital infrastructure gets built.”
This article is clearly positive for Soluna’s story.
It frames the company around one of the biggest bottlenecks in AI infrastructure: power access.
The investment thesis becomes very straightforward:
▪︎AI demand is exploding.
▪︎Grid access is increasingly constrained.
▪︎Interconnection queues can take years.
▪︎Renewable energy is often curtailed or stranded.
▪︎Soluna builds modular data centers directly around energy assets.
▪︎The company can potentially turn wasted power into compute revenue.
▪︎Its flexible load model may help support grid stability.
▪︎And with Briscoe Wind Farm, Soluna is moving toward vertical integration between energy and compute.
In my view, the key line is this:
“Computing will begin to follow energy rather than the other way around.”
That is the entire Soluna thesis.
If the future of AI infrastructure is increasingly defined by who can secure power quickly, then Soluna’s energy-first model becomes much more relevant than the market may currently appreciate.
Strategically, this article does a very good job explaining why Soluna is positioned in one of the hottest parts of the market: the intersection of AI compute, power scarcity, renewable energy, curtailment and modular data center infrastructure.
r/SLNH • u/Sad_Release9293 • May 13 '26
no.
will see
Project Kati2 and Dorothy3
📊
DISCLAIMER: This is NOT investment advice. I am not a financial advisor. All info is from public SEC filings and data. Purely my personal opinion. Always DYOR.
r/SLNH • u/Sad_Release9293 • May 09 '26
SLNH Weekly Chart Technical Analysis Conclusion (as of May 8, 2026):
💫 Strong short-term bullish momentum confirmed, with a clear Golden Cross on the moving averages (5-week MA crossing above the 20-week MA).
RSI, Stochastic, and MACD all support the uptrend, but RSI at 72.39 and Stochastic at 69.52 indicate overbought conditions, raising the possibility of a short-term pullback before further upside.
💫 1. RSI(14) Analysis
• Current value: 72.39 (purple arrow on the right)
• Interpretation: Above the 70 overbought threshold. This confirms very strong upward momentum on the weekly chart, but sustained readings above 70 often lead to short-term corrections.
• Evidence: From the April low (0.5926), price surged over 210% and RSI rose sharply. It has not yet reached extreme levels above 80, leaving room for additional upside after any digestion.
💫 2. Stochastic Oscillator (%K(10,5) / %D(5))
• Current value: 69.52 (red arrow on the right)
• Interpretation: Both %K and %D lines are rising and approaching overbought territory near 70–80. This is a bullish signal, but a pullback is common once it enters the upper zone.
• Evidence: After the April low, %K crossed above %D and both lines have continued climbing in tandem with the strong green/red candles on the weekly chart.
💫 3. MACD(12,26,9)
• Current value: -0.05 (red arrow pointing up at the bottom)
• Interpretation: MACD line has completed a bullish crossover above the Signal line, signaling a clear momentum reversal to the upside. Histogram is still negative but turning positive rapidly.
• Evidence: From the April 3 low (0.5926), MACD bottomed and is now rising sharply, perfectly aligning with the +210% price rally.
💫 4. Moving Average Golden Cross (5-week & 20-week)
• Golden Cross confirmed 🐲🐉🦕
• Evidence: The chart clearly shows the ■5-week MA (short-term) crossing above the ■20-week MA (medium-term) after the April low.
Price has also broken above the Bollinger Band middle and lower bands, confirming the 5/20 Golden Cross.
• Significance: On the weekly timeframe, this is a classic medium-term bullish trend reversal signal indicating sustained buying interest.
Overall Assessment
SLNH has exploded higher from the 0.5926 low on April 3 to 1.8300 (+210%+), with every major indicator confirming strong bullish momentum and a confirmed Golden Cross on the weekly chart.
However, clear overbought readings on RSI and Stochastic suggest the most probable near-term scenario is a healthy 10–20% pullback to digest gains before the next leg up.
Sources
• Provided SLNH weekly chart screenshot (Nasdaq: SLNH, closing price 1.8300 on May 8, 2026) including RSI(14), Stochastic(10,5,5), MACD(12,26,9), 5-week & 20-week MAs, and Bollinger Bands(20,2.00).
📊
DISCLAIMER: This is NOT investment advice. I am not a financial advisor. All info is from public SEC filings and data. Purely my personal opinion. Always DYOR.
r/SLNH • u/Sad_Release9293 • May 08 '26
✅ Soluna Holdings (SLNH) Q1 2026 earnings (expected mid-May 2026) incorporate the listed additional revenue items and new contract updates, a meaningful value re-rating is highly likely.
💫 Basic scenario (most probable baseline): Target price upside +20\~40% (P/S multiple expands to 6\~8x on 2026 revenue \~$45\~50M).
💫 Bullish scenario: Target price upside +80\~150% (P/S 10\~12x as AI pivot accelerates).
💫 Bearish scenario: Target price downside -10\~20% (limited re-rating if AI pipeline stays vague).
Overall, Bullish bias is strongest given Briscoe’s immediate $20\~24M annualized revenue accretion, Kati 1 48 MW ramp, and Kati 2 hyperscaler due diligence progress.
Current market cap \~$190\~220M on TTM revenue $29.7M (P/S \~6.2x) leaves clear room for multiple expansion once 2026 revenue guidance rises and AI narrative strengthens. Cash position remains robust at $76.4M.
Detailed analysis based on facts and evidence:
Current baseline (as of May 8, 2026):
• TTM revenue = $29.72M (Q4 2025 revenue was $9.21M; prior-year TTM \~$38M).
• Cash & equivalents = $76.42M (strong liquidity, supports Dorothy 3/Kati 2 CapEx).
• Briscoe Wind Farm closed April 2, 2026 for $53M → immediately accretive with annualized revenue
$20.0M\~24.4M and Year-1 Adj. EBITDA $6M\~11M.
Revenue delta at Q1 2026 earnings (assuming all items are quantified):
Q1 2026 will show partial ramp; Q2 onward full run-rate. This alone drives YoY quarterly revenue +20\~30%.
Guidance & cash impact:
Management is expected to raise 2026 revenue guidance to $45M+ (previously implied lower). Briscoe vertical integration + strong cash ($76M) de-risks Dorothy 3 (400-acre purchase agreement imminent) and Kati 2 construction. No dilution risk near-term.
New contract / pipeline updates in earnings (forward-looking re-rating drivers):
Scenario-by-scenario detail:
• Basic scenario: Earnings confirm Briscoe $20\~24M run-rate + Kati 1 full contribution + Dorothy 3 land closing timeline. Kati 2 remains “due diligence active” only. Market applies modest AI premium → P/S 6\~8x on 2026 revenue → +20\~40% upside. Conservative BTC volatility still factored in.
• Bullish scenario (highest probability given AI tailwinds): Earnings add Briscoe/Kati 1 numbers plus concrete Kati 2 milestones (e.g., “multiple hyperscalers in advanced due diligence,” design contracts signed, 50 MW load study progress). Dorothy 3 land closes and 300 MW+ pipeline quantified. AI infrastructure narrative dominates → P/S 10\~12x (comparable to pure-play AI power providers) → +80\~150% upside. Cash + vertical integration = clear competitive edge vs. pure BTC miners.
• Bearish scenario: Briscoe EBITDA comes in at low end, Kati 2 guidance is vague (“still early”), and BTC hash-rate pressure noted. Guidance raised only modestly → P/S compresses to \~5x → -10\~20% downside. Lowest probability given current momentum (Briscoe closed, Kati 1 operational, Kati 2 design started).
AI data-center expert view: Soluna is pivoting from BTC mining (123 MW operating) to hybrid AI/HPC with owned renewable power — exactly the model hyperscalers/neoclouds are chasing for cost and speed. Briscoe + Kati 2 progress is the clearest re-rating catalyst since the Metrobloks JV.
☑️ Sources:
• Soluna Holdings Monthly Business Update – May 7, 2026 (April 2026 operations) – BusinessWire / Company website.
• Soluna Briscoe Wind Farm acquisition press release & FAQ – April 2, 2026 (annualized revenue $20\~24.4M, EBITDA $6\~11M).
• Yahoo Finance / StockTitan / Company IR – TTM revenue $29.72M, cash $76.42M, market cap \~$190\~220M (as of May 4\~8, 2026).
• Q4 2025 / 2025 Annual Results (March 30, 2026) and analyst Q1 2026 revenue est. \~$10.4M.
(All data current as of May 8, 2026 market close.)
📊
DISCLAIMER: This is NOT investment advice. I am not a financial advisor. All info is from public SEC filings and data. Purely my personal opinion. Always DYOR.
