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Home/Models & Labs
Models & Labs

Together AI Launches Preemptible Compute for GPU Clusters

Together AI Blog·September 10, 2026·high confidence

Why it matters

  • →Provides a cost-effective solution for running non-critical workloads.
  • →Enhances resource efficiency by utilizing unused capacity.
  • →Offers flexibility in managing cloud computing resources.
Together AI Launches Preemptible Compute for GPU Clusters
©Together AI Blog

Together AI has announced the public preview of preemptible compute for its GPU clusters, available on Kubernetes clusters across all regions. This new feature allows users to run interruption-tolerant workloads at half the cost of standard nodes, using the same NVIDIA accelerated infrastructure. Preemptible nodes are billed sub-hourly and can be reclaimed when capacity is needed elsewhere, making them ideal for short experiments and batch jobs. This development offers a cost-effective way to manage non-critical workloads, enhancing resource efficiency in cloud computing.

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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 and Google Cloud Boost AI Developer Community — NVIDIA Blog1Nvidia's AI Data Centers Cut Water Use to Near Zero — The Verge AI2

More in Models & Labs

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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 Releases·Nov 1, 2026
Apple Intelligence arrives in China via iOS 27.3© The Verge AI
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Apple Intelligence arrives in China via iOS 27.3

NVIDIA and AWS Enhance AI Production Capabilities — NVIDIA Blog3Nvidia Unveils Vera Rubin Chip System for AI Data Centers — WIRED AI4Idle GPUs: The New Bottleneck in AI Infrastructure — Hugging Face Blog5Nvidia's $500B Plan for AI Data Centers — TechCrunch AI6Nvidia Unveils PAIR for Home AI Computing — The Verge AI7NVIDIA Launches PAIR Local AI Router — Sam Witteveen8Together AI Launches Preemptible Compute for GPU ClustersEmerald AI coalition targets grid capacity for data centers — TechCrunch AI9Together AI deploys NVIDIA B300 cluster on IBM Cloud — Together AI Blog10Ai2 replaces priority scheduling with GPU time budgets — Hugging Face Blog11Nvidia Unveils Modular DSX Pod for Rapid AI Infrastructure — WIRED AI12Together AI details GPU cluster auto-remediation system — Together AI Blog13May 19You are hereOct 27

How we got here

  1. 1
    NVIDIA and Google Cloud Boost AI Developer Community

    NVIDIA Blog · May 19, 2026 · Related

  2. 2
    Nvidia's AI Data Centers Cut Water Use to Near Zero

    The Verge AI · June 22, 2026 · Related

  3. 3
    NVIDIA and AWS Enhance AI Production Capabilities

    NVIDIA Blog · June 24, 2026 · Related

  4. 4
    Nvidia Unveils Vera Rubin Chip System for AI Data Centers

    WIRED AI · July 21, 2026 · Related

  5. 5
    Idle GPUs: The New Bottleneck in AI Infrastructure

    Hugging Face Blog · July 30, 2026 · Related

  6. 6
    Nvidia's $500B Plan for AI Data Centers

    TechCrunch AI · August 13, 2026 · Background

  7. 7
    Nvidia Unveils PAIR for Home AI Computing

    The Verge AI · September 3, 2026 · Related

  8. 8
    NVIDIA Launches PAIR Local AI Router

    Sam Witteveen · September 6, 2026 · Related

What happened next

  1. 9
    Emerald AI coalition targets grid capacity for data centers

    TechCrunch AI · September 17, 2026 · Related

  2. 10
    Together AI deploys NVIDIA B300 cluster on IBM Cloud

    Together AI Blog · October 6, 2026 · Same story

  3. 11
    Ai2 replaces priority scheduling with GPU time budgets

    Hugging Face Blog · October 9, 2026 · Related

  4. 12
    Nvidia Unveils Modular DSX Pod for Rapid AI Infrastructure

    WIRED AI · October 21, 2026 · Related

  5. 13
    Together AI details GPU cluster auto-remediation system

    Together AI Blog · October 27, 2026 · Same story

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 AI·Oct 30, 2026
Google Releases Gemini 4 Carbon for Cost-Efficient Inference© Matt Wolfe
Models & Labsmodels

Google Releases Gemini 4 Carbon for Cost-Efficient Inference

Google launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.

Matt Wolfe·Oct 30, 2026