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Tripp launches Kōkua AI as mental wellness coach across multiple platforms

Tripp, the award-winning XR wellness company, launched Kōkua AI, a mental wellness guide designed to deliver real-time, personalized emotional support across multiple platforms. Named after the Hawaiian word for “selfless care,” Kōkua AI leverages years of mood and emotional state data from Tripp’s platform—over 23 million emotional inputs across TRIPP’s global wellness sessions—to offer individualized, adaptive support. Kōkua uses AI not just to speak, but to understand, reflect, and respond in meaningful ways, personalized to each user’s unique needs and state of mind. It is available across mobile, immersive, and voice-based experiences, said Nanea Reeves, CEO of Tripp, in an interview with GamesBeat. “We’ve been evolving Kōkua AI over time, and we see it as a big differentiator for Tripp,” Reeves said. “We see ourselves as a layered approach to wellness and we’re there for you on any device.” Why Kōkua matters now Calm Into Borealis The public launch of Kōkua comes at a pivotal moment, Reeves said. A growing body of research has affirmed the power of digital technologies—particularly AI-driven chatbots, VR, and AR platforms—to expand access to mental health support and improve outcomes: Virtual Reality (VR) and AI have shown clinical benefits in reducing symptoms related to anxiety, depression, PTSD, and phobias. VR immerses users in safe, therapeutic environments and enhances emotional regulation (Nature, 2024). AI-powered chatbots are increasingly used for mood tracking, cognitive-behavioral therapy, and suicide prevention support. Users appreciate their 24/7 availability, lack of judgment, and ease of use (JMIR, 2017). • A recent NEJM AI study (2024) highlighted how autonomous AI mental health assistants can deliver personalized interventions using natural language processing and voice analysis, creating engaging and effective user experiences. • 80% of Americans believe AI can improve healthcare quality and access, and 25% prefer providers who integrate AI—highlighting the public’s growing openness to AI in wellness and healthcare contexts (Tebra Health Perception Study, 2024). Kōkua AI Feature Highlights Calm Liquid Ascension • Voice Avatars with Cloning: With a new AI voice library that includes over 20 voices, Kōkua has also been enabled with Personalized Voice Cloning. Users can hear their own voice deliver personalized wellness guidance and affirmations. • AI-Powered Reflections: Guided mental wellness check-ins and interactive coaching powered by TRIPP’s proprietary Kōkua Core engine. • Image Generation: Real-time visualizations based on user mood and conversational context. • Immersive Worlds: Breathtaking 3D environments and binaural soundscapes tuned to support calm and focus. • Direct Dial Access (Coming Soon): Mental wellness support via phone—accessible to all, with or without a headset. • Gamified Dialogue: A conversational “volley” system encourages sustained, engaging interaction. Positive results from Kōkua Lantern Village Since its beta release on mobile and virtual reality in 2024, Kōkua has doubled session engagement (+100%); had long term retention with 45%+ of premium monthly active users using the app for 12+ months; was named Best Innovation of 2025 by the Aurea Awards and Best in Spatial Computing on Apple Vision Pro; amassed over 2.6 million in-app 5-star ratings, that have been used to train Kōkua AI; and Tripp is the most-reviewed mindfulness app on Meta Quest devices. Built on foundation of innovation and trust Nanea Reeves is CEO of Tripp. Kōkua AI is powered by Tripp’s patented mood detection and personalization platform, which dynamically adjusts wellness experiences based on mood surveys, breathing patterns, and real-time conversation flow. The platform uses a novel atomic voice delivery method for responsiveness, and ensures user control with built-in tools to cancel, adjust, or correct input mid-session—critical for trust in mental wellness applications. “No path to wellness is the same. With Kōkua, we’re creating emotionally intelligent tools that adapt to you—in your voice, on your terms,” said Reeves. “We’re honored that our community has helped shape this powerful platform from the inside out through the sharing of their feelings with us in our apps.” “Tripp has always anticipated where AI was going,” said Tim Chang, venture partner at Mayfield Fund, in a statement. “Kōkua is the culmination of years of intentional, ethical development in the service of mental wellness.” Availability Kōkua is now available via the Tripp mobile app (iOS & Android), Meta Quest, Apple Vision Pro, HTC Flow, PlayStation VR, Pico and is expanding to Android XR and additional platforms including smartglasses and AR. Evolving features Tripp’s mobile app Kōkua AI has some hidden features that Tripp puts out there for users to stumble upon and use before Tripp amplifies them. The company has expanded its voice library for Kōkua AI so it has 21 different voices that you can change the AI’s voice to, including ASMR. There are three ASMR whisper voices that have been a top request from users for a long time. Reeves sad that there is some research that shows there are neural effects when you hear your own voice for self emotional regulation. It activates the brain’s self-referential regions, Reeves said. “It makes positive messages feel more personal and believable and impactful, even though most of us have a initial reaction to hearing our own voice,” Reeves said. So Tripp created the ability to clone your voice in the app and apply it to the AI. It’s live on the Meta Quest platform first. Then it will make its way to mobile. The mobile app will also get real-time imaging. Kōkua AI offers confidence boosters during your day Kōkua AI uses AI to enhance your well being. When you interact with Kōkua AI, you can ask it for a confidence booster before an important meeting. Kokoa AI answered with a motivational voice-based reasurance that described a futuristic cityscape that was meant to remind Reeves of limitless possibilities. The AI seeks out the LLM with the best response. “We have this whole platform that’s tuned around generating AI output, specifically to mental and emotional well being,” Reeves said. “That’s the main differential differentiator of what we’re doing.” Tripp can also generate meditation exercises for the users. It added guardrails for the AI as the number of AI agents has exploded. Kōkua AI responded to Reeves when she said she was nervous about our interview. The voice of the AI said, “It’s natural to feel a bit nervous before an interview, but remember that you’ve got this. Take a moment to breathe deeply and remind yourself of your strengths and the unique perspectives you bring. How about visualizing a positive outcome that can sometimes help calm the nerves and boost confidence?” Reeves also asked the AI what it knew about Reeves given its interactions with her over the weeks. The AI voice of Kōkua AI rattled off a number of things it knew about Reeves with reassurances about her strong support network around her. “You can talk to me about anything that’s on your mind, Nanea,” the AI voice said. “I’m here to support your emotional well being, whether you want to discuss mindfulness, gratitude, navigating changes or anything else that’s important to you.” Reeves asked the AI to connect her to a specialized AI agent that could help with a specific emotional issue and it did so. Reeves said Tripp will launch a new agent for the start of mental health awareness month in May. Multiple agents will be available over time and eventually it will start monetization. “We have not announced it yet, but we are working with a clinical entity to provide the framework for that when we launch,” Reeves said. “There will be a life coaching mode and even a dream analysis mode, because that’s one of our top tasks. We’ll keep adding modes like frameworks for career coaching.” Privacy protection She noted that young male users are expressing some really big feelings that maybe they would never share with one of their friends or an adult, or even a therapist, for fear of feeling judged. At the same time, she noted that Tripp is being ethical about its data collection so that it preserves user privacy. Users can delete information about themselves at any time. She noted that data storage is “completely decoupled from any personally identifiable information, and we actually don’t record the conversations. We store summaries of them for our context.” Users can also opt out of recording info about a session if they wish. More automation of AI features Tripp is launching its Kōkua AI meditation app. The company has 25 people and it has automated a lot of tasks in its producting flow using AI. As AI results have gotten better, the automation has made the company more efficient. Now Tripp is generating real-time support for people who call in for help, and it will connect those people to human support as needed. “It’s been a fascinating journey,” Reeves said. “We’re experimenting with generating 3D real-time videos soon into the experiences, as well as 3D objects, and enabling interaction. “For VR, we’ve achieved a lot. I’m pretty confident that we are the wellness leader in XR, in mental wellness in our category, as the most-rated mindfulness app on the Quest,” Reeves said. “We were named best in spatial computing as one of the apps on Apple vision Pro. We have been announced as an early access partner with Google on the Android XR platform, and we’re excited about these upcoming expansions. But in order for us to have maximum reach and really scale our business, it’s important that we go into new channels like mobile. We see that as a precursor to our ability to be able to support the smart glasses and the AR smart glasses.” She said Kōkua AI audio is available via phone calls, and Tripp can also deploy that feature in its mobile app. You will be able to listen to that voice app on the Meta Ray-ban smart glasses. “We want to render the experience of how you are feeling in real time. So our focus for next year will be to start integrating even more bio signals, but one of the first ones we’re going to do is the voice sentiment. It’s not what you say. It’s about measuring the quality and the valence identified in your voice. Is it stress? Are you expressing joy? Happiness?” More benchmarks and future plans Lantern Village As far as benchmarks go, Reeves said Kōkua AI has been trained on 23 million feelings shared with Tripp that it used as the foundation for building Tripp’s context engine. And the company has had had close to 3 million downloads on VR. “Our goal right now is to start scaling into mobile and increasing our addressable audience,” Reeves said. The app is highly rated, but Reeves wants to get mainstream adoption in th elong run. “We do have a large active duty population of young men using our app, and also veterans, but I definitely think that being able to reach more people with our emotions with our supportive AI agent is important,” Reeves said. “I think the AR smart glasses will be a tipping point for us. We will be very well positioned for that transition with the way that we’ve architected our platform and and how we can support you with just audio only and and do it in a very unique, focused way.” Tripp can integrate its coaching into its audio experiences and visual experiences, which are like soothing music visualizers. Reeves said that people are uploading personal images into the VR app and other parts of the applications. She said that people who personalize Tripp will have 400% more engagement, and 61% will have active sessions for six months or longer. Reeves said the speed of the AI is getting better as well so users don’t have to wait so long for responses. “It’s a real retention driver,” she said. “We will start launching new agents and one of the first will be a mental health coach. It’s not for replacing professional human support or medical services. But it could be very helpful for that person late at night who is feeling that they need to talk to someone friendly. That’s really our goal. We were very cautious initially when we launched the first version. We were testing it. We want to be thoughtful about how we approach interactions with AI.”

Tripp, the award-winning XR wellness company, launched Kōkua AI, a mental wellness guide designed to deliver real-time, personalized emotional support across multiple platforms.

Named after the Hawaiian word for “selfless care,” Kōkua AI leverages years of mood and emotional state data from Tripp’s platform—over 23 million emotional inputs across TRIPP’s global wellness sessions—to offer individualized, adaptive support.

Kōkua uses AI not just to speak, but to understand, reflect, and respond in meaningful ways, personalized to each user’s unique needs and state of mind. It is available across mobile, immersive, and voice-based experiences, said Nanea Reeves, CEO of Tripp, in an interview with GamesBeat.

“We’ve been evolving Kōkua AI over time, and we see it as a big differentiator for Tripp,” Reeves said. “We see ourselves as a layered approach to wellness and we’re there for you on any device.”

Why Kōkua matters now

Calm Into Borealis
Calm Into Borealis

The public launch of Kōkua comes at a pivotal moment, Reeves said. A growing body of research has affirmed the power of digital technologies—particularly AI-driven chatbots, VR, and AR platforms—to expand access to mental health support and improve outcomes:

Virtual Reality (VR) and AI have shown clinical benefits in reducing symptoms related to anxiety, depression, PTSD, and phobias. VR immerses users in safe, therapeutic environments and enhances emotional regulation (Nature, 2024).

AI-powered chatbots are increasingly used for mood tracking, cognitive-behavioral therapy, and suicide prevention support. Users appreciate their 24/7 availability, lack of judgment, and ease of use (JMIR, 2017).

• A recent NEJM AI study (2024) highlighted how autonomous AI mental health assistants can deliver personalized interventions using natural language processing and voice analysis, creating engaging and effective user experiences.

• 80% of Americans believe AI can improve healthcare quality and access, and 25% prefer providers who integrate AI—highlighting the public’s growing openness to AI in wellness and healthcare contexts (Tebra Health Perception Study, 2024).

Kōkua AI Feature Highlights

Calm Liquid Ascension

• Voice Avatars with Cloning: With a new AI voice library that includes over 20 voices, Kōkua has also been enabled with Personalized Voice Cloning. Users can hear their own voice deliver personalized wellness guidance and affirmations.

• AI-Powered Reflections: Guided mental wellness check-ins and interactive coaching powered by TRIPP’s proprietary Kōkua Core engine.

• Image Generation: Real-time visualizations based on user mood and conversational context.

• Immersive Worlds: Breathtaking 3D environments and binaural soundscapes tuned to support calm and focus.

• Direct Dial Access (Coming Soon): Mental wellness support via phone—accessible to all, with or without a headset.

• Gamified Dialogue: A conversational “volley” system encourages sustained, engaging interaction.

Positive results from Kōkua

Lantern Village
Lantern Village

Since its beta release on mobile and virtual reality in 2024, Kōkua has doubled session engagement (+100%); had long term retention with 45%+ of premium monthly active users using the app for 12+ months; was named Best Innovation of 2025 by the Aurea Awards and Best in Spatial Computing on Apple Vision Pro; amassed over 2.6 million in-app 5-star ratings, that have been used to train Kōkua AI; and Tripp is the most-reviewed mindfulness app on Meta Quest devices.

Built on foundation of innovation and trust

Nanea Reeves is CEO of Tripp.
Nanea Reeves is CEO of Tripp.

Kōkua AI is powered by Tripp’s patented mood detection and personalization platform, which dynamically adjusts wellness experiences based on mood surveys, breathing patterns, and real-time conversation flow. The platform uses a novel atomic voice delivery method for responsiveness, and ensures user control with built-in tools to cancel, adjust, or correct input mid-session—critical for trust in mental wellness applications.

“No path to wellness is the same. With Kōkua, we’re creating emotionally intelligent tools that adapt to you—in your voice, on your terms,” said Reeves. “We’re honored that our community has helped shape this powerful platform from the inside out through the sharing of their feelings with us in our apps.”

“Tripp has always anticipated where AI was going,” said Tim Chang, venture partner at Mayfield Fund, in a statement. “Kōkua is the culmination of years of intentional, ethical development in the service of mental wellness.”

Availability

Kōkua is now available via the Tripp mobile app (iOS & Android), Meta Quest, Apple Vision Pro, HTC Flow, PlayStation VR, Pico and is expanding to Android XR and additional platforms including smartglasses and AR.

Evolving features

Tripp’s mobile app

Kōkua AI has some hidden features that Tripp puts out there for users to stumble upon and use before Tripp amplifies them. The company has expanded its voice library for Kōkua AI so it has 21 different voices that you can change the AI’s voice to, including ASMR. There are three ASMR whisper voices that have been a top request from users for a long time.

Reeves sad that there is some research that shows there are neural effects when you hear your own voice for self emotional regulation. It activates the brain’s self-referential regions, Reeves said.

“It makes positive messages feel more personal and believable and impactful, even though most of us have a initial reaction to hearing our own voice,” Reeves said.

So Tripp created the ability to clone your voice in the app and apply it to the AI. It’s live on the Meta Quest platform first. Then it will make its way to mobile. The mobile app will also get real-time imaging.

Kōkua AI offers confidence boosters during your day

Kōkua AI uses AI to enhance your well being.

When you interact with Kōkua AI, you can ask it for a confidence booster before an important meeting. Kokoa AI answered with a motivational voice-based reasurance that described a futuristic cityscape that was meant to remind Reeves of limitless possibilities. The AI seeks out the LLM with the best response.

“We have this whole platform that’s tuned around generating AI output, specifically to mental and emotional well being,” Reeves said. “That’s the main differential differentiator of what we’re doing.”

Tripp can also generate meditation exercises for the users. It added guardrails for the AI as the number of AI agents has exploded.

Kōkua AI responded to Reeves when she said she was nervous about our interview. The voice of the AI said, “It’s natural to feel a bit nervous before an interview, but remember that you’ve got this. Take a moment to breathe deeply and remind yourself of your strengths and the unique perspectives you bring. How about visualizing a positive outcome that can sometimes help calm the nerves and boost confidence?”

Reeves also asked the AI what it knew about Reeves given its interactions with her over the weeks. The AI voice of Kōkua AI rattled off a number of things it knew about Reeves with reassurances about her strong support network around her.

“You can talk to me about anything that’s on your mind, Nanea,” the AI voice said. “I’m here to support your emotional well being, whether you want to discuss mindfulness, gratitude, navigating changes or anything else that’s important to you.”

Reeves asked the AI to connect her to a specialized AI agent that could help with a specific emotional issue and it did so. Reeves said Tripp will launch a new agent for the start of mental health awareness month in May. Multiple agents will be available over time and eventually it will start monetization.

“We have not announced it yet, but we are working with a clinical entity to provide the framework for that when we launch,” Reeves said. “There will be a life coaching mode and even a dream analysis mode, because that’s one of our top tasks. We’ll keep adding modes like frameworks for career coaching.”

Privacy protection

She noted that young male users are expressing some really big feelings that maybe they would never share with one of their friends or an adult, or even a therapist, for fear of feeling judged. At the same time, she noted that Tripp is being ethical about its data collection so that it preserves user privacy. Users can delete information about themselves at any time.

She noted that data storage is “completely decoupled from any personally identifiable information, and we actually don’t record the conversations. We store summaries of them for our context.” Users can also opt out of recording info about a session if they wish.

More automation of AI features

Tripp is launching its Kōkua AI meditation app.
Tripp is launching its Kōkua AI meditation app.

The company has 25 people and it has automated a lot of tasks in its producting flow using AI. As AI results have gotten better, the automation has made the company more efficient. Now Tripp is generating real-time support for people who call in for help, and it will connect those people to human support as needed.

“It’s been a fascinating journey,” Reeves said. “We’re experimenting with generating 3D real-time videos soon into the experiences, as well as 3D objects, and enabling interaction.

“For VR, we’ve achieved a lot. I’m pretty confident that we are the wellness leader in XR, in mental wellness in our category, as the most-rated mindfulness app on the Quest,” Reeves said. “We were named best in spatial computing as one of the apps on Apple vision Pro. We have been announced as an early access partner with Google on the Android XR platform, and we’re excited about these upcoming expansions. But in order for us to have maximum reach and really scale our business, it’s important that we go into new channels like mobile. We see that as a precursor to our ability to be able to support the smart glasses and the AR smart glasses.”

She said Kōkua AI audio is available via phone calls, and Tripp can also deploy that feature in its mobile app. You will be able to listen to that voice app on the Meta Ray-ban smart glasses.

“We want to render the experience of how you are feeling in real time. So our focus for next year will be to start integrating even more bio signals, but one of the first ones we’re going to do is the voice sentiment. It’s not what you say. It’s about measuring the quality and the valence identified in your voice. Is it stress? Are you expressing joy? Happiness?”

More benchmarks and future plans

Lantern Village
Lantern Village

As far as benchmarks go, Reeves said Kōkua AI has been trained on 23 million feelings shared with Tripp that it used as the foundation for building Tripp’s context engine. And the company has had had close to 3 million downloads on VR.

“Our goal right now is to start scaling into mobile and increasing our addressable audience,” Reeves said.

The app is highly rated, but Reeves wants to get mainstream adoption in th elong run.

“We do have a large active duty population of young men using our app, and also veterans, but I definitely think that being able to reach more people with our emotions with our supportive AI agent is important,” Reeves said. “I think the AR smart glasses will be a tipping point for us. We will be very well positioned for that transition with the way that we’ve architected our platform and and how we can support you with just audio only and and do it in a very unique, focused way.”

Tripp can integrate its coaching into its audio experiences and visual experiences, which are like soothing music visualizers. Reeves said that people are uploading personal images into the VR app and other parts of the applications. She said that people who personalize Tripp will have 400% more engagement, and 61% will have active sessions for six months or longer. Reeves said the speed of the AI is getting better as well so users don’t have to wait so long for responses.

“It’s a real retention driver,” she said. “We will start launching new agents and one of the first will be a mental health coach. It’s not for replacing professional human support or medical services. But it could be very helpful for that person late at night who is feeling that they need to talk to someone friendly. That’s really our goal. We were very cautious initially when we launched the first version. We were testing it. We want to be thoughtful about how we approach interactions with AI.”

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Grangemouth refinery closure to prompt ‘wrath of voters’, says union

The Grangemouth oil refinery has ceased operations with politicians set to feel the “wrath of voters” over job losses, a union boss said. The writing has been on the wall for Scotland’s last oil refinery for some time, and despite engagement from the Scottish and UK governments, 400 jobs are set to be cut from the site.  Sharon Graham, Unite the Union general secretary, argued that “the UK and Scottish governments have utterly failed to protect refinery jobs at Grangemouth and thousands face losing their jobs as oil refining in Scotland ends”. Last week, UK energy minister Michael Shanks said that the situation at Grangemouth was a “really good example of a transition done badly”. A letter sent to staff on Tuesday morning read: “For over 100 years the name Grangemouth has been synonymous with the refining industry, but the world has changed and the market in Scotland has been unable to support a refinery”. Grangemouth workers thrown on the ‘industrial scrapheap’ © Jane Barlow/PA WireMembers of the Unite union march and rally at the Scottish Parliament in protest at Petroineos plans to close Grangemouth oil refinery. Image: Jane Barlow/PA Wire Trade unions kept the pressure up on the UK and Scottish governments to support operations at the site as Petroineos deliberated over its future. Demonstrations have been held both in the Forth Valley town and at Holyrood, calling for public support for the hundreds set to lose their jobs. Last month, the government-backed Project Willow produced a report which claimed a series of clean energy projects at the Grangemouth refinery could create around 800 jobs over the next 15 years. The SNP and Labour administrations also launched a Grangemouth Just Transition Fund with £25m from the Scottish government and £200m from the UK government. However, Graham said not enough

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Nvidia AI supercluster targets agents, reasoning models on Oracle Cloud

Oracle has previously built an OCI Supercluster with 65,536 Nvidia H200 GPUs using the older Hopper GPU technology and no CPU that offers up to 260 exaflops of peak FP8 performance. According to the blog post announcing the availability, the Blackwell GPUs are available via Oracle’s public, government, and sovereign clouds, as well as in customer-owned data centers through its OCI Dedicated Region and Alloy offerings. Oracle joins a growing list of cloud providers that have made the GB200 NVL72 system available, including Google, CoreWeave and Lambda. In addition, Microsoft offers the GB200 GPUs, though they are not deployed as an NVL72 machine.

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Deep Data Center: Neoclouds as the ‘Picks and Shovels’ of the AI Gold Rush

In 1849, the discovery of gold in California ignited a frenzy, drawing prospectors from around the world in pursuit of quick fortune. While few struck it rich digging and sifting dirt, a different class of entrepreneurs quietly prospered: those who supplied the miners with the tools of the trade. From picks and shovels to tents and provisions, these providers became indispensable to the gold rush, profiting handsomely regardless of who found gold. Today, a new gold rush is underway, in pursuit of artificial intelligence. And just like the days of yore, the real fortunes may lie not in the gold itself, but in the infrastructure and equipment that enable its extraction. This is where neocloud players and chipmakers are positioned, representing themselves as the fundamental enablers of the AI revolution. Neoclouds: The Essential Tools and Implements of AI Innovation The AI boom has sparked a frenzy of innovation, investment, and competition. From generative AI applications like ChatGPT to autonomous systems and personalized recommendations, AI is rapidly transforming industries. Yet, behind every groundbreaking AI model lies an unsung hero: the infrastructure powering it. Enter neocloud providers—the specialized cloud platforms delivering the GPU horsepower that fuels AI’s meteoric rise. Let’s examine how neoclouds represent the “picks and shovels” of the AI gold rush, used for extracting the essential backbone of AI innovation. Neoclouds are emerging as indispensable players in the AI ecosystem, offering tailored solutions for compute-intensive workloads such as training large language models (LLMs) and performing high-speed inference. Unlike traditional hyperscalers (e.g., AWS, Azure, Google Cloud), which cater to a broad range of use cases, neoclouds focus exclusively on optimizing infrastructure for AI and machine learning applications. This specialization allows them to deliver superior performance at a lower cost, making them the go-to choice for startups, enterprises, and research institutions alike.

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Soluna Computing: Innovating Renewable Computing for Sustainable Data Centers

Dorothy 1A & 1B (Texas): These twin 25 MW facilities are powered by wind and serve Bitcoin hosting and mining workloads. Together, they consumed over 112,000 MWh of curtailed energy in 2024, demonstrating the impact of Soluna’s model. Dorothy 2 (Texas): Currently under construction and scheduled for energization in Q4 2025, this 48 MW site will increase Soluna’s hosting and mining capacity by 64%. Sophie (Kentucky): A 25 MW grid- and hydro-powered hosting center with a strong cost profile and consistent output. Project Grace (Texas): A 2 MW AI pilot project in development, part of Soluna’s transition into HPC and machine learning. Project Kati (Texas): With 166 MW split between Bitcoin and AI hosting, this project recently exited the Electric Reliability Council of Texas, Inc. planning phase and is expected to energize between 2025 and 2027. Project Rosa (Texas): A 187 MW flagship project co-located with wind assets, aimed at both Bitcoin and AI workloads. Land and power agreements were secured by the company in early 2025. These developments are part of the company’s broader effort to tackle both energy waste and infrastructure bottlenecks. Soluna’s behind-the-meter design enables flexibility to draw from the grid or directly from renewable sources, maximizing energy value while minimizing emissions. Competition is Fierce and a Narrower Focus Better Serves the Business In 2024, Soluna tested the waters of providing AI services via a  GPU-as-a-Service through a partnership with HPE, branded as Project Ada. The pilot aimed to rent out cloud GPUs for AI developers and LLM training. However, due to oversupply in the GPU market, delayed product rollouts (like NVIDIA’s H200), and poor demand economics, Soluna terminated the contract in March 2025. The cancellation of the contract with HPE frees up resources for Soluna to focus on what it believes the company does best: designing

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Quiet Genius at the Neutral Line: How Onics Filters Are Reshaping the Future of Data Center Power Efficiency

Why Harmonics Matter In a typical data center, nonlinear loads—like servers, UPS systems, and switch-mode power supplies—introduce harmonic distortion into the electrical system. These harmonics travel along the neutral and ground conductors, where they can increase current flow, cause overheating in transformers, and shorten the lifespan of critical power infrastructure. More subtly, they waste power through reactive losses that don’t show up on a basic utility bill, but do show up in heat, inefficiency, and increased infrastructure stress. Traditional mitigation approaches—like active harmonic filters or isolation transformers—are complex, expensive, and often require custom integration and ongoing maintenance. That’s where Onics’ solution stands out. It’s engineered as a shunt-style, low-pass filter: a passive device that sits in parallel with the circuit, quietly siphoning off problematic harmonics without interrupting operations.  The result? Lower apparent power demand, reduced electrical losses, and a quieter, more stable current environment—especially on the neutral line, where cumulative harmonic effects often peak. Behind the Numbers: Real-World Impact While the Onics filters offer a passive complement to traditional mitigation strategies, they aren’t intended to replace active harmonic filters or isolation transformers in systems that require them—they work best as a low-complexity enhancement to existing power quality designs. LoPilato says Onics has deployed its filters in mission-critical environments ranging from enterprise edge to large colos, and the data is consistent. In one example, a 6 MW data center saw a verified 9.2% reduction in energy consumption after deploying Onics filters at key electrical junctures. Another facility clocked in at 17.8% savings across its lighting and support loads, thanks in part to improved power factor and reduced transformer strain. The filters work by targeting high-frequency distortion—typically above the 3rd harmonic and up through the 35th. By passively attenuating this range, the system reduces reactive current on the neutral and helps stabilize

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New IEA Report Contrasts Energy Bottlenecks with Opportunities for AI and Data Center Growth

Artificial intelligence has, without question, crossed the threshold—from a speculative academic pursuit into the defining infrastructure of 21st-century commerce, governance, and innovation. What began in the realm of research labs and open-source models is now embedded in the capital stack of every major hyperscaler, semiconductor roadmap, and national industrial strategy. But as AI scales, so does its energy footprint. From Nvidia-powered GPU clusters to exascale training farms, the conversation across boardrooms and site selection teams has fundamentally shifted. It’s no longer just about compute density, thermal loads, or software frameworks. It’s about power—how to find it, finance it, future-proof it, and increasingly, how to generate it onsite. That refrain—“It’s all about power now”—has moved from a whisper to a full-throated consensus across the data center industry. The latest report from the International Energy Agency (IEA) gives this refrain global context and hard numbers, affirming what developers, utilities, and infrastructure operators have already sensed on the ground: the AI revolution will be throttled or propelled by the availability of scalable, sustainable, and dispatchable electricity. Why Energy Is the Real Bottleneck to Intelligence at Scale The major new IEA report puts it plainly: The transformative promise of AI will be throttled—or unleashed—by the world’s ability to deliver scalable, reliable, and sustainable electricity. The stakes are enormous. Countries that can supply the power AI craves will shape the future. Those that can’t may find themselves sidelined. Importantly, while AI poses clear challenges, the report emphasizes how it also offers solutions: from optimizing energy grids and reducing emissions in industrial sectors to enhancing energy security by supporting infrastructure defenses against cyberattacks. The report calls for immediate investments in both energy generation and grid capabilities, as well as stronger collaboration between the tech and energy sectors to avoid critical bottlenecks. The IEA advises that, for countries

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Colorado Eyes the AI Data Center Boom with Bold Incentive Push

Even as states work on legislation to limit data center development, it is clear that some locations are looking to get a bigger piece of the huge data center spending that the AI wave has created. It appears that politicians in Colorado took a look around and thought to themselves “Why is all that data center building going to Texas and Arizona? What’s wrong with the Rocky Mountain State?” Taking a page from the proven playbook that has gotten data centers built all over the country, Colorado is trying to jump on the financial incentives for data center development bandwagon. SB 24-085: A Statewide Strategy to Attract Data Center Investment Looking to significantly boost its appeal as a data center hub, Colorado is now considering Senate Bill 24-085, currently making its way through the state legislature. Sponsored by Senators Priola and Buckner and Representatives Parenti and Weinberg, this legislation promises substantial economic incentives in the form of state sales and use tax rebates for new data centers established within the state from fiscal year 2026 through 2033. Colorado hopes to position itself strategically to compete with neighboring states in attracting lucrative tech investments and high-skilled jobs. According to DataCenterMap.com, there are currently 53 data centers in the state, almost all located in the Denver area, but they are predominantly smaller facilities. In today’s era of massive AI-driven hyperscale expansion, Colorado is rarely mentioned in the same breath as major AI data center markets.  Some local communities have passed their own incentive packages, but SB 24-085 aims to offer a unified, statewide framework that can also help mitigate growing NIMBY (Not In My Backyard) sentiment around new developments. The Details: How SB 24-085 Works The bill, titled “Concerning a rebate of the state sales and use tax paid on new digital infrastructure

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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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