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<h2id="the-state-of-cloud-gpus-in-2025-costs-performance-playbooks"><aclass="toclink" href="state-of-cloud-gpu-2025/">The state of cloud GPUs in 2025: costs, performance, playbooks</a></h2>
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<p>This is a practical map for teams renting GPUs — whether you’re a single project team fine-tuning models or a production-scale team managing thousand-GPU workloads. We’ll break down where providers fit, what actually drives performance, how pricing really works, and how to design a control plane that makes multi-cloud not just possible, but a competitive advantage.</p>
<h2id="supporting-gpu-provisioning-and-orchestration-on-nebius"><aclass="toclink" href="nebius/">Supporting GPU provisioning and orchestration on Nebius</a></h2>
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<p>As demand for GPU compute continues to scale, open-source tools tailored for AI workloads are becoming critical to
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developer velocity and efficiency.
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<code>dstack</code> is an open-source orchestrator purpose-built for AI infrastructure—offering a lightweight, container-native
<h2id="supporting-gpu-provisioning-and-orchestration-on-nebius"><aclass="toclink" href="../../nebius/">Supporting GPU provisioning and orchestration on Nebius</a></h2>
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<p>As demand for GPU compute continues to scale, open-source tools tailored for AI workloads are becoming critical to
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developer velocity and efficiency.
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<code>dstack</code> is an open-source orchestrator purpose-built for AI infrastructure—offering a lightweight, container-native
<h2id="supporting-nvidia-and-amd-accelerators-on-vultr"><aclass="toclink" href="../../nvidia-and-amd-on-vultr/">Supporting NVIDIA and AMD accelerators on Vultr</a></h2>
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<p>As demand for AI infrastructure grows, the need for efficient, vendor-neutral orchestration tools is becoming
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increasingly important.
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At <code>dstack</code>, we’re committed to redefining AI container orchestration by prioritizing an AI-native, open-source-first
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approach.
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Today, we’re excited to share a new integration and partnership
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