Nscale signs 1.35GW Microsoft LOI for a West Virginia AI campus


Announced at GTC 2026, the deal covers around 430,000 next-generation NVIDIA GPUs, is backed by a Caterpillar natural gas power deal, and is built on a site described as the US’s first state-certified AI microgrid, with an 8GW potential footprint.


Nscale has signed a letter of intent with Microsoft to provide 1.35 gigawatts of AI compute capacity at a new campus in Mason County, West Virginia, deploying NVIDIA’s next-generation Vera Rubin NVL72 GPUs at what it describes as the first large-scale commercial rollout of the Vera Rubin DSX AI Factory reference architecture.

The deal, announced at NVIDIA’s GTC 2026 conference on 16 March, covers approximately 430,000 Vera Rubin GPUs and is structured as a long-term framework combining a multi-year compute services agreement with a long-term data centre lease.

Deliveries will begin in late 2027 and be phased across multiple tranches. The deployment will sit on a site Nscale has simultaneously acquired, the Monarch Compute Campus, a 2,250-acre plot in Mason County that Nscale describes as the first state-certified AI microgrid in the United States, with an on-site power potential scalable to over eight gigawatts.

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Nscale acquired the campus by purchasing American Intelligence & Power Corporation (AIPCorp), which was sponsored by Fidelis New Energy and 8090 Industries.

“This collaboration with Microsoft marks a pivotal milestone both for Nscale and the development of the Monarch Campus. By integrating our specialized AI infrastructure with Microsoft’s global platform, we are creating a foundation for innovation that can scale alongside the most ambitious AI models in the world.”  – Josh Payne, CEO, Nscale

Power: 2GW from Caterpillar natural gas generators by H1 2028

Powering a campus of this scale at speed is the critical engineering challenge, and Nscale’s solution is to go off-grid rather than wait for utility-scale grid connections that could take years to secure. Through a strategic collaboration with Caterpillar, the company will deploy G3500 series natural gas generator sets to achieve two gigawatts of on-site power generation by the first half of 2028.

The campus will operate independently of the local electricity grid, which Nscale says eliminates the burden on existing utility customers and protects ratepayers’ bills. The design also allows for future connection to the grid and potential export of power back to it.

“Projects like Monarch demonstrate how Caterpillar’s natural gas generation platforms are being deployed as core infrastructure for data centers and other power intensive applications where reliability, speed of deployment, and lifecycle performance are critical.”  – Melissa Busen, Senior Vice President of Electric Power, Caterpillar

Nscale is also pursuing carbon sequestration to offset emissions from the natural gas generators, citing access to sequestration capacity in West Virginia.

The company says the high-efficiency design consumes less water with no impact on municipal supply even at full 8GW capacity, a claim it has not independently substantiated but which reflects the regulatory and community sensitivity that large-scale AI campuses now face in their siting decisions.

The Monarch deal deepens an existing commercial relationship. Microsoft is already a customer at Nscale’s Narvik data centre in Norway, where the company has operational capacity today as part of its European infrastructure footprint. Aker ASA’s CEO, Øyvind Eriksen, who sits on the Nscale board following the company’s integration of the Aker Nscale joint venture, confirmed in a regulatory filing on 16 March that the Monarch LOI further strengthens a collaboration that is already generating revenue for Nscale.

“Microsoft’s datacenter approach is to build the best global infrastructure informed by near-term and long-term demand. Our investments blend owned datacenters, leased facilities, and strategic collaborations. This collaboration with Nscale and NVIDIA is an important step to deliver meaningful AI innovation to our customers.”  – Jon Tinter, President, Business Development and Ventures, Microsoft

“AI is becoming essential infrastructure for every industry. With this large-scale NVIDIA DSX AI Factory Blueprint, Nscale is building the infrastructure required to produce intelligence at industrial scale and power the next wave of global innovation.”  – Nico Caprez, Vice President, Global AI Infrastructure Growth, NVIDIA

Context: Nscale at $14.6 billion, one week in

The Monarch announcement lands one week after Nscale closed what it has called the largest Series C in European history: $2 billion led by Aker ASA and 8090 Industries, with participation from Astra Capital Management, Citadel, Dell, Jane Street, Lenovo, Linden Advisors, Nokia, NVIDIA, and Point72.

That round valued the UK-based company at $14.6 billion and was placed by Goldman Sachs and JPMorgan, an advisory combination widely read as early IPO preparation. Nscale CEO Josh Payne has previously indicated the company may seek to go public as early as 2026.

Founded in 2024, Nscale has moved with unusual speed. Its current operational data centre footprint includes sites in Glomfjord and Narvik in Norway, Loughton in the UK, and Texas in the US. In February 2026, it signed a $1.4 billion delayed draw term loan backed by its GPU fleet.

The Monarch acquisition, when combined with its existing 1GW-plus of operational capacity and the Microsoft LOI, positions the company as one of the largest announced AI compute deployments in the US market today, if it executes.

The proximity of the Mason County site to major AI and cloud hubs is a deliberate feature of the selection: Nscale cites its relatively short distance from Ashburn, Virginia, the world’s densest data centre cluster, and Chicago, offering customers low latency for AI workloads that require fast connection to adjacent infrastructure.



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Recent Reviews


Spotify aims to provide a consistent listening experience that uses minimal data. As a result, your audio quality might be less than ideal, especially if you’re using a pair of high-fidelity headphones or high-end speakers. Here’s how to fix that.

Switch audio streaming quality to Very High or Lossless

The default audio streaming quality in both the mobile and desktop Spotify apps is set to Automatic, which usually keeps the audio quality at Normal, which is only 96 Kbps. Even though Spotify uses the Ogg Vorbis codec, which is superior to MP3, OGG files exhibit slight (but noticeable) digital noise, poor bass detail, dull treble, and a narrow soundstage at 96 Kbps.

Even worse, Spotify is aggressive about adjusting the automatic bitrate. Even though 4G is more than fast enough to stream high-quality OGG files, even with a weak signal, Spotify may still drop the quality to Low, which has a bitrate of just 24 Kb/s. You will notice such a sharp drop in quality, even on a pair of bottom-of-the-barrel headphones.

To rectify this, open the Spotify app, tap your user image, open “Settings and privacy,” and tap the “Media Quality” menu. Once there, set Wi-Fi streaming quality and cellular streaming quality to “Very high” or “Lossless.”

I recommend setting cellular streaming quality to Very high and reserving Lossless for Wi-Fi, since lossless streaming is very data-intensive. One hour of streaming lossless files can take up to 1GB of data, as well as a good chunk of your phone’s storage, because Spotify caches files you’re frequently streaming. Besides, you’ll struggle to notice the difference unless you’re listening to music on a wired pair of high-end headphones or speakers; wireless connection just doesn’t have the bandwidth needed to convey the full fidelity of Spotify lossless audio.

You might opt for High quality if you have a capped data plan, but I recommend doing so only if you stream hours upon hours’ worth of music every single day over a cellular network. For instance, I burn through about 8 GB of data per month on average while streaming about two hours of very high-quality music over a cellular network each day.

Illustration of a headphone with various music icons around.


How Audio Compression Works and Why It Can Affect Your Music Quality

Feeling the squeeze when listening to your favorite song?

Set audio download quality to Very high or Lossless

If you tend to download songs and albums for offline listening, you should also set the audio download quality to “Very high” or “Lossless.” This setting is located just under the audio streaming quality section.

The audio download quality menu in Spotify's mobile app.

If you’ve got enough free storage on your phone, opt for the latter, but if you’d rather save storage space, set it to Very high. You’ll hardly hear the difference, but lossless files are about five times larger than the 320 Kb/s OGG files Spotify offers at its Very high quality setting, and they can quickly fill up your phone’s storage.

Adjust video streaming quality at your discretion

The last section of the Media quality menu is Video streaming quality. This sets the quality of video podcasts and music videos available for certain songs. Since I care about neither, I set it to “Very high” on Wi-Fi and “Normal” on cellular, but you should tweak the two options at your discretion because songs sound notably better at higher video streaming quality levels.

If you often watch videos over cellular and have unlimited data, feel free to toggle video quality to very high.

Make sure Data Saver mode is disabled

Even if your audio quality is set to Very high or Lossless, Spotify will switch to low-quality streaming if the app’s Data saver mode is enabled. This option is located in the Data saving and offline menu. Open the menu, then set it to “Always off,” or choose “Automatic” to have Spotify’s Data Saver mode kick in alongside your phone’s Data Saver mode.

You can also enable volume normalization and play around with the built-in equalizer

Spotify logo in the center of the screen with an equalizer in front. Credit: Lucas Gouveia / How-To Geek

Last but not least, there are two additional features you can play with to improve your listening experience. The first is volume normalization, which sets the same loudness for every track you’re listening to. This can be handy because different albums are mastered at different loudness levels, with newer music usually being louder.

Since I’m an album-oriented listener, I keep the option disabled. I can just play an album and set the audio volume accordingly, and I don’t really mind louder songs when listening to playlists, artists, or song radios.

But if you can’t stand one song being quiet and the next rattling the windows, visit the Playback menu, enable “Volume normalization,” and set it to “Quiet” or “Normal.” The “Loud” option can digitally compress files, and neither Spotify nor I recommend using it. This also happens with “Quiet” and “Normal,” since both adjust the decibel level of the master recording for each song, but the compression level is much lower and extremely hard to notice.

Before I end this, I should also mention that you can access the equalizer directly from the Spotify app, where you can fine-tune your music listening experience or pick one of the available equalizer presets. If your phone has a built-in equalizer, Spotify will open it; if it doesn’t, you can use Spotify’s. On my phone (a Samsung Galaxy S21 FE), I can only use One UI’s built-in equalizer.

To open the equalizer, open “Playback,” then hit the “Equalizer” button. Now you can equalize your audio to your heart’s content.


Adjusting just a few settings can have a drastic impact on your Spotify listening experience. If you aren’t satisfied with Spotify’s sound quality, make sure to adjust the audio before jumping ship. You should also check the sound quality settings from time to time, as Spotify can reset them during app updates.​​​​​​​

Three phones with a Spotify screen and the logo in the center.


These 8 Spotify Features Are My Favorite Hidden Gems

Look for these now.



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