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Xorbits Inference (Xinference) is a powerful library for deploying and serving large language models (LLMs), speech recognition models, and multimodal models on-premises, even on a laptop. It simplifies model serving with a single command, provides access to state-of-the-art open-source models, utilizes heterogeneous hardware like GPUs and CPUs, offers flexible APIs and interfaces, supports distributed deployment, and integrates with third-party libraries. Users praise its ease of use, scalability to serve multiple models simultaneously, creative applications like voice conversations with LLMs, and cost-effectiveness compared to cloud providers by only charging for inference time.
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Xorbits Inference is a powerful open-source solution, but deploying and maintaining it yourself can be complex and resource-intensive. With Shakudo, you can leverage Xorbits Inference's capabilities without the hassle of manual setup and configuration. Our automated DevOps pipeline streamlines the deployment process, ensuring seamless integration with your existing infrastructure.
Moreover, Shakudo's secure deployment on your own cloud eliminates data privacy concerns associated with proprietary solutions. Our one-click install integrations with popular third-party libraries like LangChain and Dify enable you to build AI-powered applications rapidly. By choosing Shakudo, you gain the benefits of Xorbits Inference while avoiding the pitfalls of DIY deployment, freeing up valuable resources to focus on your core business objectives.
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Secure infrastructure
Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
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Integrate with everything
Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.
Streamlined Workflow
Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.
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Use data and AI products inside your infrastructure
Chat with one of our experts to answer your questions about your data stack, data tools you need, and deploying Shakudo on your cloud.
