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Introduction

Welcome to the official documentation page of xCloud, the cutting-edge cloud platform designed to empower developers, researchers, and data scientists with unparalleled capabilities in optimized inference of Large Language Models (LLM), fine-tuning, and seamless experimentation with Jupyter Notebooks.

Key features:

  1. Optimized inference: xCloud leverages advanced hardware and software optimizations to deliver lightning-fast inference speeds for LLM models. Whether you're deploying language models for chatbots, recommendation systems, or sentiment analysis, xCloud ensures minimal latency and maximum efficiency.

  2. Fine-tuning capabilities: empower your AI models by fine-tuning them on your custom datasets. xCloud provides a user-friendly interface to fine-tune LLM models, enabling you to adapt these models to specific domains or tasks with ease.

  3. Jupyter Notebooks integration: collaborate, experiment, and iterate effortlessly using Jupyter Notebooks on xCloud. The platform seamlessly integrates with Jupyter, allowing you to access powerful computational resources and cutting-edge LLM models to run your experiments and analyses with utmost flexibility.

  4. API and SDK Support: integrate xCloud into your existing AI infrastructure effortlessly using our comprehensive API and SDK support. This enables you to scale your AI applications seamlessly and leverage xCloud's capabilities within your preferred development environment.

1. Basic concepts​

Before diving into the xCloud documentation, we highly recommend familiarizing yourself with the following key concepts:

  1. Executors: these allow users to execute tasks in the cloud, providing unrestricted capabilities for various purposes, including fine-tuning Large Language Models (LLM).

  2. Inference: xCloud optimizes inference for LLM models, ensuring fast and efficient processing of AI tasks such as chatbots, recommendation systems, and sentiment analysis.

  3. Jupyter Notebooks: users can experiment seamlessly with Jupyter Lab, leveraging xCloud's computational resources and pre-trained LLM models for innovative AI research and development.

2. xCloud access​

To get started, kindly request access by sending an email to xcloud-support@stochastic.ai. Once your access is granted, you'll gain the ability to create personalized workspaces for your AI projects and invite team mates from your organization to collaborate seamlessly.

Before you start building and experimenting, we recommend taking a quick look at the default quota limits. These limits ensure fair usage and resource allocation within xCloud. If the default quotas do not meet your requirements, don't hesitate to reach out to xcloud-support@stochastic.ai to request additional resources.

Now, you're all set to embark on your AI journey with xCloud!