$CORZ 0.52 Developing

Notable posts

• @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.

  view on X →
• @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

  view on X →
• @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.

  view on X →
• @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.

  view on X →
• @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

  view on X →
• @StockSavvyShay bullish 876 eng

  The AI buildout is becoming a power land-grab and this group now controls ~32 GW of planned capacity that could be repurposed into higher-value compute: • $IREN ~5.8 GW • $CIFR ~4.0 GW • $HUT ~3.8 GW • $WULF ~3.6 GW • $MARA ~2.8 GW • $CORZ ~2.6 GW • $RIOT ~2.0 GW • $CLSK ~1.8 GW • $GLXY ~1.7 GW • $BITF ~0.8 GW These companies already control one of the scarcest inputs in the AI economy so even if a portion of that 32 GW converts to full-stack compute then the revenue opportunity per MW can expand by ~6x.

  view on X →
• @wallstengine mixed 698 eng

  ROTHSCHILD REDBURN LAUNCHES COVERAGE ACROSS AI DATA CENTER NAMES $NBIS: SELL, $84 PT Says Nebius has a demanding valuation and questions the sustainability of its unit economics. Upside could come from newer-generation GPUs, faster growth of its Token Factory inference business and stronger capacity execution. Risks include customers bringing compute in-house and higher funding costs. $CRWV: SELL, $54 PT Redburn questions CoreWeave's unit economics and ability to convert its pipeline into attractive returns. Key risks include hyperscalers or AI labs bringing capacity in-house, falling GPU pricing and higher financing costs. $DLR: BUY, $227 PT Highlights Digital Realty's global wholesale and colocation footprint, long-term tenant contracts and expansion into larger, higher-density facilities built for AI workloads and hyperscale customers. $EQIX: BUY, $1,261 PT Points to Equinix's global interconnection ecosystem as a key advantage, with AI, HPC, enterprise and cloud customers increasingly needing high-density compute close to networks and other infrastructure. $IRM: BUY, $132 PT Iron Mountain has expanded beyond its legacy records-storage business into data centers, information management and IT asset lifecycle services, while developing more power-dense capacity for AI workloads. The miner-to-AI names were treated much more cautiously: $APLD: NEUTRAL, $22 PT Says unit economics and pipeline-conversion risks are already well priced in. Upside comes from lower build/operating costs and additional large tenant signings. Risks include local opposition, construction delays and tenant insolvency. $IREN: NEUTRAL, $40 PT Sees upside from additional large-scale AI tenants and better execution at existing sites. Risks include difficulty securing tenants, higher funding costs and delays or cancellations. $WULF: NEUTRAL, $15 PT Potential upside comes from securing additional U.S. capacity and signing more major tenants. Permitting issues and state-level opposition are key risks. $CIFR: NEUTRAL, $18 PT Sees better or faster grid-capacity allocation and more major tenant deals as upside. Tenant pullouts and buildout delays are the main downside risks. $HUT: NEUTRAL, $96 PT Upside depends on faster data-center execution and securing additional grid capacity. Delays or cancellations in the buildout remain the key risk. $CORZ: NEUTRAL, $16 PT Core Scientific has been shifting capacity from Bitcoin mining toward AI/HPC hosting after emerging from bankruptcy, while continuing its mining business. Its proposed acquisition by CoreWeave collapsed last year after shareholders rejected the deal.

  view on X →
• @StockSavvyShay bullish 661 eng

  This chart is why secured power is becoming one of the most valuable assets in AI. A MW produces ~$1.5M in bitcoin mining, ~$4M in colocation and ~$10M in full-stack AI compute which explains why you're seeing $CIFR, $WULF, $CORZ and $RIOT all racing to convert capacity as fast as possible while $IREN already shows what that transition can look like. $CRWV and $NBIS are already clustering ~$10M per active MW while $SPCX is targeting closer to ~$40M as it scales toward ~10GW putting SpaceX in a monetization class of its own.

  view on X →