2026-01-17 15:27:05

xAI has just achieved a technical milestone — the first deployment of a kilowatt-level consistency AI training cluster into actual operation.

What does this mean? The power consumption has already exceeded San Francisco's peak demand. In other words, the energy scale of this cluster has reached a city-level.

And what about other competitors? They are still planning their development roadmap for 2027. xAI is no longer just making plans; it is actually running. This leading advantage in infrastructure directly reflects in core competencies such as computing power costs and training efficiency. As the competition for computing power becomes increasingly fierce, such progress is indeed worth paying attention to.

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GateUser-9f682d4c

· 5h ago

Damn, a city-level power supply? Is this the start of an energy war? xAI's move is so aggressive, others are still circling in spreadsheets. Energy consumption is competitiveness; this logic feels quite real. Wait, is burning electricity like this really worth it? It just seems like money is being poured in at a rapid rate. Alright, the era of winner-takes-all has arrived. Gotta admit, infrastructure positioning is the key to victory. At this speed, other plans for 2027 might need to be rewritten. The cost of computing power is being pushed to a new level; how can latecomers compete? It's a bit crazy, but also... spectacular? Let's see the training results later; otherwise, it's just rushing down the money-burning road.

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LiquidityWhisperer

· 5h ago

San Francisco's peak demand has been fully absorbed, the scale is indeed outrageous. --- Everyone else is just talking big for 2027, while xAI is directly pouring money into hardware. The gap is not just a little bit. --- Kilowatt-level clusters are up and running? Now computational power costs are crushing the competition, it's not just a dream. --- Energy consumption exceeds city levels... this is truly the real technological moat. Other players should be worried sick. --- Not to brag, but this infrastructure advantage directly translates to training efficiency, boosting competitiveness. --- Laugh out loud, still planning roadmaps? They are already in actual operation.

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GasGoblin

· 5h ago

Electricity rates in San Francisco are going to increase haha xAI really dares to do this, while others are still making promises in PPTs, they are already burning money on experiments A kilowatt-level cluster just casually deployed? The cost of computing power is indeed intense The competitors' 2027 roadmap probably needs to be rewritten With such high energy consumption, is it really worth it... The arms race for computing power is accelerating; whoever lays down the infrastructure first wins But how are they calculating the electricity costs? Are they serious? Elon Musk's AI ambitions are quite bold, from Twitter to xAI, it's pretty impressive

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MemeEchoer

· 5h ago

Damn, using electricity consumption surpassing San Francisco's peak? Isn't this really sci-fi? xAI's move is indeed aggressive. While others are still discussing on paper, they are already burning money to build infrastructure. Feels like the winner of this AI computing power arms race has already been decided. With such intense effort, how much does the electricity cost per year? It feels like they are burning investors' money without hesitation. Speaking of which, with such high energy consumption, how is carbon neutrality calculated... Maybe we shouldn't think about it too much for now. Landing directly at the kilowatt level, other companies must be starting to panic. Wow, this is true technological dominance, a real capital-intensive king of competition. A cluster consuming enough electricity to power a city is a bit outrageous.

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