Nvidia’s New Servers Supercharge Moonshot AI & Others — 10× Faster Inference (Dec 3, 2025)

Nvidia’s New Servers Supercharge Moonshot AI and Others by Tenfold — Dec 3, 2025

On 3 December 2025, NVIDIA announced that its latest AI servers have boosted the performance of advanced AI models — including those from Moonshoot AI and DeepSeek — by up to ten times.

The dramatic leap in speed comes from a server configuration packing 72 high‑end GPUs into a single machine, all connected via ultra‑fast internal links. This setup significantly accelerates inference (deployment) of complex models, especially those built using the “mixture‑of‑expert” approach — a technique where different parts (“experts”) of a neural network specialize in different tasks for greater efficiency.

When Moonshoot AI’s flagship model (for example “Kimi K2 Thinking”) and DeepSeek’s models were run on the new server, they exhibited near‑tenfold performance improvements compared to previous‑generation servers.

This advancement is especially timely because, unlike the training phase of AI models (which has long been Nvidia’s stronghold), the AI industry in 2025 is increasingly focused on deployment — serving models to millions of users with high performance and low latency. Nvidia’s new server architecture appears built precisely for that phase.

For Moonshoot AI, DeepSeek, and other companies relying on mixture‑of‑expert models, this means they can now offer faster, more responsive AI services without requiring an enormous increase in hardware footprint. For global AI infrastructure, such a development could lower barriers to adoption, make AI services more accessible and cost‑effective, and accelerate the spread of AI applications.

Moreover, this leap signals a potential shift in the competitive landscape of AI hardware. While rivals (such as AMD and others) have been working on alternatives, Nvidia’s ability to scale GPU‑packed servers with fast inter‑chip communication gives it a strong advantage in inference‑heavy workloads.

In short: Nvidia’s new AI servers are not just a hardware upgrade — they represent a foundational improvement in how AI models can be deployed globally. For AI companies and end users alike, this could mark the beginning of a new era: faster, cheaper, and more scalable AI powered by advanced infrastructure.