Trending
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Contracted MW and Energized MW Are Different Numbers
Contracted megawatts show a commercial commitment, while energized megawatts show power that has actually reached a usable site or load.
Latest
Power & Grid
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Transformer Lead Times Are Becoming a Data-Center Schedule Risk
A data-center project can have land, a tenant and a utility agreement while still waiting years for the transformers that make the…
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AI Data-Center Power: Why Compute Is Becoming an Energy Problem
Every AI request runs on a physical chain that ends at a grid connection. Electricity is turning into one of the hardest…
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Behind-the-Meter Gas and Nuclear Deals Solve Different Data-Center Problems
On-site gas generation and long-term nuclear contracts can both support AI campuses, but they carry different timelines, operating risks and claims about…
Cooling
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Direct-to-Chip vs. Immersion: The Cooling Choice Is a System Decision
Direct-to-chip cooling is the nearer-term retrofit path for many AI halls, while immersion can handle high density with deeper changes to hardware,…
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Water Use and Dry Coolers: The Tradeoff AI Sites Cannot Avoid
A data center can reduce on-site water use with dry cooling, but the choice usually moves the tradeoff toward electricity, equipment cost…
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Cooling AI Servers: Air, Liquid, and the Thermodynamics of Dense Compute
Every watt a processor uses becomes heat. As AI racks get denser, how a building removes that heat decides what it can…
Compute & Silicon
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HBM Is a Bottleneck Because AI Memory Is a Stack, Not a Chip
High-bandwidth memory limits AI accelerator shipments through several linked manufacturing steps, so a strong DRAM market alone does not guarantee enough HBM…
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GPU Supply Chains: How AI Hardware Gets Made, Moved, and Bottlenecked
An AI accelerator is the end of a long industrial chain. The slowest link — not the headline chip — usually sets…
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CoWoS Capacity Is the Package Bottleneck Behind AI Accelerator Growth
Advanced packaging determines how many logic dies and HBM stacks can become a finished AI accelerator, making CoWoS capacity as important as…
Networking
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Co-Packaged Optics Could Move the Network Bottleneck Into the Package
Co-packaged optics shortens the electrical path between a switch ASIC and optical engines, but it also makes packaging, testing and field service…
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Why 800G and 1.6T Transceivers Matter to the AI Buildout
Faster optical transceivers are a response to rising switch and accelerator bandwidth, and their value shows up in link count, power, reach…
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Fiber for AI: Why Networks Inside and Between Data Centers Matter
Powerful accelerators sit idle if data cannot reach them. Fiber and the fabrics built on it decide how much of a cluster…
Capacity & Sites
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Contracted MW and Energized MW Are Different Numbers
Contracted megawatts show a commercial commitment, while energized megawatts show power that has actually reached a usable site or load.
Capital & Backlog
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How to Read an Equipment Maker’s Backlog
A large backlog can signal demand and future revenue, but its quality depends on customer commitments, delivery timing, cancellation rights, margin and…
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Chips Policy and AI Infrastructure: What the CHIPS Act Changes in Practice
AI policy is also manufacturing policy. The CHIPS program is a bet that a complete domestic semiconductor ecosystem is worth paying for.
More signals
-
Contracted MW and Energized MW Are Different Numbers
Contracted megawatts show a commercial commitment, while energized megawatts show power that has actually reached a usable site or load.
-
Transformer Lead Times Are Becoming a Data-Center Schedule Risk
A data-center project can have land, a tenant and a utility agreement while still waiting years for the transformers that make the electricity usable.
-
HBM Is a Bottleneck Because AI Memory Is a Stack, Not a Chip
High-bandwidth memory limits AI accelerator shipments through several linked manufacturing steps, so a strong DRAM market alone does not guarantee enough HBM for the next GPU cycle.
-
AI Data-Center Power: Why Compute Is Becoming an Energy Problem
Every AI request runs on a physical chain that ends at a grid connection. Electricity is turning into one of the hardest limits on how fast AI can grow.
-
Direct-to-Chip vs. Immersion: The Cooling Choice Is a System Decision
Direct-to-chip cooling is the nearer-term retrofit path for many AI halls, while immersion can handle high density with deeper changes to hardware, operations and service procedures.
-
Co-Packaged Optics Could Move the Network Bottleneck Into the Package
Co-packaged optics shortens the electrical path between a switch ASIC and optical engines, but it also makes packaging, testing and field service part of the networking decision.
-
GPU Supply Chains: How AI Hardware Gets Made, Moved, and Bottlenecked
An AI accelerator is the end of a long industrial chain. The slowest link — not the headline chip — usually sets the delivery date.
-
CoWoS Capacity Is the Package Bottleneck Behind AI Accelerator Growth
Advanced packaging determines how many logic dies and HBM stacks can become a finished AI accelerator, making CoWoS capacity as important as wafer capacity.
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