$APLD 0.52 Developing

Notable posts

• @amitisinvesting bullish 2687 eng

  Woah. Nvidia $NVDA just created a new line of business for themselves. So, all those neoclouds like $CRWV $NBIS $IREN $APLD $SPCX that have been getting deals with hyperscalers worth billions? It’s because demand for compute, according to Jensen, is growing at a level that is beyond imagination. So, companies need to secure more compute. But, many of these neoclouds are struggling to finance large GPU deployments, even after securing long-term compute demand. So…Nvidia is going to help them out and share in the upside. “This new model enables AI clouds to procure NVIDIA infrastructure for AI-native, enterprise and ISV customers through economic alignment with a revenue-sharing and credit-support model. Through the partnership, AI clouds will sell NVIDIA-powered cloud services, with NVIDIA earning both standard product revenue and a share of the cloud revenue on the supported capacity. This structure accelerates adoption of NVIDIA platforms among the high-growth, high-conviction AI native sector, and provides NVIDIA with a recurring, usage-linked earnings stream.” Looks like Nvidia is going to make sure the best neoclouds don’t fail and this also shifts from a one-time GPU sale to a recurring, usage-based revenue stream…which just creates many more longer-term monetization opportunities.

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• @StockSavvyShay bullish 1335 eng

  TOP 10 MOST EFFICIENT AI NEOCLOUDS This chart is a great way see which neoclouds are monetizing scarce AI power most efficiently and where the remaining upside still sits: 1. $IREN leads the group at ~$40M of contracted revenue per MW which shows how valuable its full-stack GPU cloud model can be once more of its secured power gets monetized. 2. $GLXY sits ~$29M per MW and still has meaningful approved capacity waiting on tenants which makes future contract conversion the main catalyst. 3. $CRWV generates ~$28M per MW and has already converted a large portion of its power footprint into contracted compute which shows how aggressively it has scaled demand. 4. $HUT also sits ~$28M per MW but has one of the largest remaining development pipelines which leaves substantial optionality if it can keep filling capacity. 5. $APLD monetizes ~$26M per MW with much of its remaining upside tied to capacity currently moving through construction and into contracted service. 6. $WULF sits ~$25M per MW which reflects a model that captures strong powered-shell economics but less value per watt than owning the compute layer. 7. $NBIS sits ~$23M per MW on long-term deals but is intentionally holding back capacity because short-term pricing has reached ~$50M per MW. 8. $CORZ generates ~$21M per MW largely driven by long-term infrastructure contracts rather than higher-value full-stack compute. 9. $CIFR sits ~$13M per MW which shows the tradeoff of powered-shell colocation where the customer owns the silicon and more of the margins sit upstream. 10. Crusoe doesn't disclose a clean revenue-per-MW figure but still has a large contracted footprint.

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• @StockSavvyShay neutral 1276 eng

  Here are the current 2030 revenue estimates for companies capitalizing on compute capacity as the AI overflow layer • $CRWV ~$66.9B revenue w/ 68% EBITDA margins • $NBIS ~$39.7B revenue w/ 90% EBITDA margins • $IREN ~$10.9B revenue w/ 74% EBITDA margins • $WULF ~$4.3B revenue w/ 70% EBITDA margins • $DOCN ~$3.1B revenue w/ 63% EBITDA margins • $CIFR ~$1.5B revenue w/ 31% EBITDA margins • $APLD ~$521M revenue w/ 48% EBITDA margins

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• @StockSavvyShay bearish 1409 eng

  Neo-cloud names are moving lower after reports that $META is developing “Meta Compute” a cloud business to sell excess AI compute. The market is reading this as potential new hyperscaler supply in AI compute which could pressure standalone GPU cloud pricing. • $NBIS -10% • $CRWV -10% • $IREN -5% • $CIFR -5% • $WULF -5% • $APLD -4%

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• @StockSavvyShay bullish 1029 eng

  Morgan Stanley now sees a 33 GW U.S. data center power shortfall through 2028 as $NVDA Rubin Ultra pushes rack power toward 600 kW. That makes already energized sites much more valuable because every year saved waiting for power is worth ~$4.50/W. $NBIS, $CRWV, $IREN, $WULF, $CIFR, $APLD, $CORZ

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• @StockSavvyShay neutral 961 eng

  WHO GETS PAID IN THE AI CLOUD STACK AI clouds are becoming the middle layer between scarce AI infrastructure and companies that actually need compute: Who supplies the AI clouds • $NVDA sits at center of compute layer by supplying the GPUs that determine how much capacity these platforms can actually bring online. • $MU & $SKHY supply HBM required to keep those GPUs fed as model sizes and inference workloads continue scaling • $DLR, $EQIX, $CORZ & $APLD provide physical data center infrastructure underneath the cloud layer giving AI clouds another path to scale without owning every building themselves. Who turns that infrastructure into compute • $CRWV, $NBIS & $IREN sit directly in middle of the stack by combining GPUs, power, networking and software into usable AI compute that customers can rent. Who buys the compute • $MSFT, $META & $GOOGL are unique because they are both customers and competitors by renting external capacity when internal supply is constrained while continuing to build their own • $SHOP & $CRWD show where next leg can come from as enterprise demand broadens customer base beyond a handful of hyperscalers and AI labs. • OpenAI & Anthropic represent AI lab customer base where demand can scale really quickly as training and inference requirements grow.

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• @StockSavvyShay bullish 883 eng

  WHO GETS PAID TO TURN AI DATA CENTERS ON U.S. data centers above 100MW are set to explode this decade but power, interconnects and electrical infrastructure determine how much of that pipeline actually gets built: What gets the data center online • $GEV sits at one of hardest bottlenecks with a $176B backlog stretching into 2031 & equipment pricing already more than 20% above Q4 2025 • $VRT captures ~$3.8M per AI MW from grid to rack & is moving further upstream through UtilityInnovation Group adding behind the meter power that can bypass interconnection delays. • $BE attacks same problem differently with onsite fuel cells letting data centers generate power without waiting years for the grid. • $FPS sits between the substation & building through switchgear & transformers with utilization still around 30% against capacity being built to support as much as $5B of revenue. Who already owns the power • $IREN, $CIFR, $CORZ, $APLD & $WULF already control power and interconnects from their bitcoin infrastructure which is why IREN could go from 5MW of active AI capacity toward a 480MW target in roughly a year since the scarce asset is energized land. • $VST owns generation already connected to grid giving it direct exposure to rising data center power demand while others wait through interconnection queues. • $CEG pairs an already interconnected nuclear fleet with hyperscaler demand giving it one of cleanest ways to monetize 24/7 power scarcity through long term contracts. What gets paid inside the rack • $ON $NVTS become more important as AI moves toward 800V DC in 2028 since content per rack could rise from ~$15K toward ~$115K as more of the power conversion stack moves inside system. • $VICR is one of purest plays on converting and delivering power efficiently close to the processor as rack densities rise. The market can announce hundreds of new data centers but a ton of the value accrues to whoever controls the power, interconnects and electrical infrastructure required to make them operational.

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• @StockSavvyShay bullish 878 eng

  $NVDA neocloud partners are expected to scale from ~3 GW to 8 GW of installed capacity this year creating a much larger base for Nvidia to monetize. The company says it can now get “paid twice” once on the hardware sale and again through a share of rental revenue, potentially adding billions in recurring revenue over time. $CRWV, $NBIS, $IREN, $CIFR, $WULF, $CORZ, $RIOT, $APLD

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