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Andrey Cheptsov
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[Landing] Refine content for clarity
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‎docs/overrides/home.html‎

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<script src="https://unpkg.com/typed.js@2.1.0/dist/typed.umd.js"></script>
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<script>
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var typed = new Typed('#typed', {
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strings: ['of AI infrastructure', 'for training', 'for inference', 'for sandboxes',
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'across GPU clouds', 'across Kubernetes', 'across on-prem clusters',
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'without vendor lock-in'],
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strings: ['for AI infrastructure', 'for model training', 'for model inference',
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// 'for sandboxes',
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'across GPU clouds', 'across Kubernetes', 'for bare-metal clusters',
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'for AI researchers', 'for ML engineers',
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'on NVIDIA GPUs', 'on AMD GPUs', 'on any GPU or CPU', 'without vendor lock-in',
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],
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backDelay: 5000,
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typeSpeed: 150,
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backSpeed: 100,
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<h1 class="glitch" data-text="Agentic orchestration" style="min-height: 2.4em;">Agentic orchestration<br><span id="typed" style="white-space: nowrap;"></span></h1>
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<p>
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<span class="highlight">dstack</span> is an open-source protocol and control plane that gives AI agents and engineers
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fine-grained primitives to provision compute and manage training, inference, and sandboxes
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across GPU clouds, Kubernetes, and on-prem clusters.
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<span class="highlight">dstack</span> is an open-source control plane for agents and engineers to provision compute and run training, inference, <!--and sandboxes--> across GPU vendors, GPU clouds, Kubernetes, and bare-metal clusters.
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</p>
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</div>
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</div>
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</div>
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<div class="tx-landing__hero_button_container_text" style="text-align: center; font-size: 85%; margin-top: 1.25rem">
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Orchestration that doesn’t suck and works with agents.
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Finally, an orchestration stack that doesn’t suck.
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</div>
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</div>
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<div class="block margin right">
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<h2>A unified control plane for compute orchestration</h2>
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<p>
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Managing AI infrastructure requires fine-grained control over GPU provisioning
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tightly integrated with open-source training and inference frameworks.
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Managing AI infrastructure requires fine-grained primitives for compute provisioning,
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with native integration across GPU vendors, clouds, and open-source frameworks.
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</p>
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<p>
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<span class="highlight">dstack</span> provides a unified control plane with a declarative interface
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that works across clouds, Kubernetes, and on-prem&mdash;whether operated by engineers or their AI agents.
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<span class="highlight">dstack</span> is a unified control plane for provisioning
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clusters and running training, inference, and sandboxes across clouds, Kubernetes,
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and bare-metal clusters.
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</p>
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<p>
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It’s built for containerized workloads and designed for both engineers and agents. No Kubernetes or Slurm hassle required.
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</p>
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<!-- TODO: Add `Why dstack?` -->
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</div>
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</div>
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<div class="tx-landing__trusted_by">
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<div class="tx-landing__highlights_text">
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<h2>Loved by world-class AI teams</h2>
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<div class="tx-landing__quotes_grid">
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<div class="cell">
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<div class="photo">
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<img src="https://dstack.ai/static-assets/static-assets/images/quotes/keng.png?raw=true"/>
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</div>
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<h3>Wah Loon Keng</h3>
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<h4>Sr. AI Engineer @Electronic Arts</h4>
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<p>
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With <span class="highlight">dstack</span>, AI researchers at <span class="highlight">EA</span> can spin up and scale experiments without touching
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infrastructure. It supports everything from quick prototyping to multi-node training on any cloud.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/movchan.jpg"/>
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</div>
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<h3>Aleksandr Movchan</h3>
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<h4>ML Engineer @Mobius Labs</h4>
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<p>
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Thanks to <span class="highlight">dstack</span>, my team can quickly tap into affordable
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GPUs and streamline our workflows
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from testing and development to full-scale application deployment.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/alvarobartt.jpg"/>
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</div>
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<h3>Alvaro Bartolome</h3>
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<h4>ML Engineer @Argilla</h4>
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<p>
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With <span class="highlight">dstack</span> it's incredibly easy to define a configuration
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within a
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repository
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and run it without worrying about GPU availability. It lets you focus on
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data and your research.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/chansung.jpg"/>
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</div>
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<h3>Park Chansung</h3>
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<h4>ML Researcher @ETRI</h4>
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<p>
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Thanks to <span class="highlight">dstack</span>, I can effortlessly access the top GPU
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options across
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different clouds,
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saving me time and money while pushing my AI work forward.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/eckart.png"/>
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</div>
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<h3>Eckart Burgwedel</h3>
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<h4>CEO @Uberchord</h4>
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<p>
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With <span class="highlight">dstack</span>, running LLMs on a cloud GPU is as
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easy as running a local Docker container.
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It combines the ease of Docker with the auto-scaling capabilities of K8S.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/cudopete.png"/>
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</div>
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<h3>Peter Hill</h3>
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<h4>Co-Founder @CUDO Compute</h4>
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<p>
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<span class="highlight">dstack</span> simplifies infrastructure provisioning and AI
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development.
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If your team is on the lookout for an AI platform, I
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wholeheartedly recommend <span class="highlight">dstack</span>.
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</p>
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</div>
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</div>
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</div>
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</div>
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<div class="tx-faq">
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<div class="tx-landing__highlights_text">
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<h2>FAQ</h2>
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</p>
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</div>
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<div class="tx-landing__trusted_by">
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<div class="tx-landing__highlights_text">
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<h2>Trusted by thousands of engineers across 100+ AI-first companies</h2>
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<div class="tx-landing__quotes_grid">
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<div class="cell">
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<div class="photo">
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<img src="https://dstack.ai/static-assets/static-assets/images/quotes/keng.png?raw=true"/>
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</div>
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<h3>Wah Loon Keng</h3>
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<h4>Sr. AI Engineer @Electronic Arts</h4>
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<p>
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With <span class="highlight">dstack</span>, AI researchers at <span class="highlight">EA</span> can spin up and scale experiments without touching
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infrastructure. It supports everything from quick prototyping to multi-node training on any cloud.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/movchan.jpg"/>
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</div>
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<h3>Aleksandr Movchan</h3>
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<h4>ML Engineer @Mobius Labs</h4>
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<p>
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Thanks to <span class="highlight">dstack</span>, my team can quickly tap into affordable
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GPUs and streamline our workflows
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from testing and development to full-scale application deployment.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/alvarobartt.jpg"/>
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</div>
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<h3>Alvaro Bartolome</h3>
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<h4>ML Engineer @Argilla</h4>
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<p>
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With <span class="highlight">dstack</span> it's incredibly easy to define a configuration
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within a
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repository
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and run it without worrying about GPU availability. It lets you focus on
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data and your research.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/chansung.jpg"/>
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</div>
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<h3>Park Chansung</h3>
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<h4>ML Researcher @ETRI</h4>
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<p>
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Thanks to <span class="highlight">dstack</span>, I can effortlessly access the top GPU
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options across
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different clouds,
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saving me time and money while pushing my AI work forward.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/eckart.png"/>
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</div>
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<h3>Eckart Burgwedel</h3>
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<h4>CEO @Uberchord</h4>
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<p>
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With <span class="highlight">dstack</span>, running LLMs on a cloud GPU is as
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easy as running a local Docker container.
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It combines the ease of Docker with the auto-scaling capabilities of K8S.
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</p>
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</div>
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<div class="cell">
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<div class="photo">
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<img src="assets/images/quotes/cudopete.png"/>
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</div>
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<h3>Peter Hill</h3>
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<h4>Co-Founder @CUDO Compute</h4>
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<p>
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<span class="highlight">dstack</span> simplifies infrastructure provisioning and AI
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development.
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If your team is on the lookout for an AI platform, I
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wholeheartedly recommend <span class="highlight">dstack</span>.
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</p>
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</div>
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</div>
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</div>
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</div>
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<span id="get-started"></span>
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<br><br><br>
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<div class="tx-landing__major_feature">
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<div class="section">
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<div class="block margin right">
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<p>Install <span class="highlight">dstack</span> on your laptop via <span class="highlight">uv</span>
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and start it using the CLI, or deploy it anywhere with the <span class="highlight">dstackai/dstack</span> Docker image.</p>
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<p>
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Install <span class="highlight">dstack</span> on your laptop with <span class="highlight">uv</span>,
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or deploy it anywhere using the <span class="highlight">dstackai/dstack</span> Docker image.
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</p>
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<p>Set up backends or SSH fleets, then add your team.</p>
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<p>Bring your compute via <span class="highlight">backends</span> or <span class="highlight">SSH fleets</span>, then bring your team.</p>
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<p>
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<a href="/docs/quickstart" target="_blank"
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<div class="tx-landing__bottom_cta_card_panel">
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<div class="tx-landing__bottom_cta_card_text">
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<p>Don't want to host the <span class="highlight">dstack</span> server or want to get the
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cheapest GPUs
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from the marketplace?</p>
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<p>Hosted by us. Bring your own cloud, or tap into marketplace.</p>
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</div>
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<div class="tx-landing__bottom_cta_card_button_panel">
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<div>
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</div>
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<div class="tx-landing__bottom_cta_card_button_subheader">
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Get $5 free credit. Already have an account? <a href="https://sky.dstack.ai" target="_blank"
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Get $5 in GPU credits. Already have an account? <a href="https://sky.dstack.ai" target="_blank"
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class="tx-footer__section-link external">Sign in</a>
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</div>
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</div>
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<div class="tx-landing__bottom_cta_card_panel">
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<div class="tx-landing__bottom_cta_card_text">
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<p>Looking for a self-hosted <span class="highlight">dstack</span> with SSO, governance
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controls, and enterprise support?</p>
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<p>Self-hosted with SSO, air-gapped environments, governance, and dedicated support.</p>
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</div>
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<div class="tx-landing__bottom_cta_card_button_panel">
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<div>
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<a href="https://calendly.com/dstackai/discovery-call" target="_blank"
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class="md-button md-button--primary external">
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<span>Book a demo</span>
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<span>Talk to us</span>
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</a>
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</div>
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<div class="tx-landing__bottom_cta_card_button_subheader">
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Talk to our experts and learn.
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See how dstack fits your infrastructure.
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</div>
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</div>
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</div>

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