Models & Labs

NVIDIA Unveils 100% Liquid-Cooled AI Servers

NVIDIA BlogJune 22, 2026high confidence

Why it matters

→Liquid cooling at higher temperatures reduces energy and water consumption in data centers.
→The innovation allows for more efficient data center designs, eliminating the need for fans and chillers.
→It sets a new standard for sustainable AI infrastructure, potentially influencing future data center construction.

NVIDIA Unveils 100% Liquid-Cooled AI Servers — ©NVIDIA Blog

NVIDIA has launched the Rubin generation of AI servers, which are the first to achieve 100% liquid cooling. This new infrastructure allows cooling liquids to operate at temperatures up to 45 degrees Celsius, reducing energy and water usage significantly. The design eliminates the need for fans and mechanical chillers, making data centers more efficient and environmentally friendly. This advancement could lead to substantial cost savings and a shift in how data centers are built and operated, particularly in regions with cooler climates.

Read original

The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

NVIDIA Unveils 100% Liquid-Cooled AI Servers

3 developments

Jun 22 · NVIDIA Blog
NVIDIA Unveils 100% Liquid-Cooled AI Servers (This article)
Jun 22 · TechCrunch AI
Nvidia's Cooling System Reduces Data Center Water Use↳ Nvidia's warm-water cooling system could cut on-site data center water use by 100% in favorable climates.
Jun 22 · The Verge AI
Nvidia's AI Data Centers Cut Water Use to Near Zero

More in Models & Labs

Models & Labsmodels

llama.cpp b12029 adds CUDA 13 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.

llama.cpp ReleasesNov 1, 2026

Models & Labsother

Apple Intelligence arrives in China via iOS 27.3

Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.

The Verge AIOct 30, 2026