Kimi K3 Overloaded Clusters Within 48 Hours — Galaxy Securities Expects Supernode Demand Boom

After Moonshot AI officially open-sourced Kimi K3, requests to the system exhausted the capacity of its existing clusters within the first 48 hours. The company had to pause registration of new paying subscribers in the consumer segment.

Kimi K3: What Happened in the First 48 Hours

The cluster overload on day one confirmed two key points: Kimi K3's strong performance and an acute shortage of compute across the industry. At release, the model gained Day 0 compatibility with several major Chinese cloud platforms, meaning support from the very first day the code was published. That is rare in this market: adapting a new open checkpoint to specific hardware usually takes days or weeks.

Key facts from the Galaxy Securities analyst report:

• 48 hours: the time from code release to the overload of all Moonshot AI clusters
• Moonshot paused new subscription registrations for consumer (C-end) users
• Day 0 compatibility: Kimi K3 was adapted to several national computing platforms from day one
• The model's performance comes close to the leading closed global systems

Why

Does an Open Kimi K3 Boost GPU Demand Instead of Reducing It?

Galaxy Securities analysts argue that top-tier open models do not take the market away from infrastructure vendors; they expand it. Kimi K3 puts pressure on the leaders of closed systems from two sides at once. First, when an open model reaches the level of the best closed counterparts, the leading labs have to scale up training and speed up iteration to keep their differentiation, which requires more compute for training.

Second, wide availability of an open model generates enormous demand for inference capacity: the larger the audience, the more requests arrive every second. According to Galaxy Securities, Kimi K3 has already activated demand for Chinese supernodes in its first days. These are high-performance compute nodes built on national GPU platforms.

Which Sectors Will Get Orders?

Galaxy Securities explicitly names the segments that stand to benefit from the growth: servers, network switches, optical modules, liquid cooling systems and power supplies. Supernode demand pulls along the entire production stack of national AI infrastructure, from silicon chips to rack equipment.

"Kimi K3 does not restrain demand for compute; it keeps blowing it up," is the key conclusion of the

Galaxy Securities analyst report, published by Jiemian.

The analysts recommend paying attention to makers of Chinese supernodes and to companies across the AI cluster supply chain. The compute shortage exposed by the Kimi K3 launch is not a one-off episode but a persistent structural deficit.

What This Means

Open-sourcing Kimi K3 is a catalyst for the AI hardware market, not a brake on it. The closer open models get to the closed leaders, the higher the stakes for everyone in the race: more compute for training, more servers for inference, more orders for makers of the national stack. For China's AI industry, this is a concrete market signal.

Frequently Asked Questions

Why did

Moonshot pause subscriptions after open-sourcing Kimi K3?

Moonshot AI paused registration of new paying subscribers because, within 48 hours of the Kimi K3 open-source release, requests fully exhausted the capacity of all the company's existing clusters. Its infrastructure could not handle the explosive growth in traffic.

What are Chinese supernodes and what are they for?

Supernodes are high-performance compute nodes that combine many national GPU accelerators for training and inference of large language models. Kimi K3 received Day 0 compatibility with several such platforms, which sharply increases demand for the entire related production stack.