Batteries Included
Overview of Batteries Included
Batteries Included: Infrastructure for the AI Age
Batteries Included is a self-hosted AI platform designed to simplify the deployment of large language models (LLMs), vector databases, and Jupyter notebooks. It provides the tools hyperscalers use to build LLMs, making them accessible for your self-hosted infrastructure, eliminating the need for YAML configurations.
What is Batteries Included?
Batteries Included is an AI infrastructure platform that allows you to deploy state-of-the-art AI models and tools with built-in security, scalability, and monitoring. It provides a complete MLOps and AI development stack, enabling you to build, train, and deploy AI models using the same tools as leading AI companies, all within your own self-hosted environment.
How does Batteries Included work?
Batteries Included automates the setup and deployment of various AI infrastructure components. Key features include:
- Instant Deployment: Launch production-ready LLMs and vector databases like Ollama, OpenWebUI, and PGVector without complex configurations.
- Autoscaling: Deploy web services with dynamic scaling and security, choosing between private cloud or on-premise deployments.
- Enterprise-Grade PostgreSQL: Utilize purpose-built database infrastructure with pgvector support for storing embeddings and managing model metadata.
- Complete MLOps Stack: Deploy Jupyter notebooks, MLflow, model registries, and inference servers with enterprise-grade monitoring.
- Advanced Operational Tools: Access tools for monitoring and maintenance, ensuring high availability and performance.
- Industry-Leading Security: Manage security configurations with unified SSO, mesh networking, automated SSL, and dynamically updating permissions.
- Cost-Effective Scaling: Leverage autoscaling to reduce waste and ensure efficient scaling for applications, including blue/green canary deployments for testing.
Key Features and Benefits:
- Simplified Deployment: Deploy AI infrastructure components with one-click deployments.
- Security: Benefit from built-in security features, including SSO, mesh networking, and automated SSL.
- Scalability: Utilize autoscaling to efficiently manage resources and handle high-throughput AI workloads.
- Monitoring: Access enterprise-grade monitoring tools to ensure high availability and performance.
- Open Source: Leverage fully open-sourced components, eliminating vendor lock-in.
Use Cases:
- AI Application Development: Build and deploy AI applications using a complete MLOps and AI development stack.
- LLM Deployment: Deploy large language models with production-ready setups.
- Vector Database Management: Manage vector databases for AI applications with pgvector support.
- Serverless App Development: Build and rollout serverless apps with dynamic scaling and security.
How to get started with Batteries Included?
You can start building in seconds by signing up on the Batteries Included website. The platform offers seamless onboarding and provides all the necessary tools to deploy and manage your AI infrastructure.
Why is Batteries Included important?
Batteries Included democratizes access to the AI infrastructure used by hyperscalers, allowing smaller companies and individual developers to build and deploy world-class AI applications. By providing a self-hosted, open-source platform, Batteries Included offers greater control, security, and cost-effectiveness compared to traditional cloud-based solutions.
Best Alternative Tools to "Batteries Included"
MLflow is an open-source platform designed to manage the entire machine learning lifecycle. It offers tools for tracking experiments, managing models, and streamlining deployment, trusted by thousands of organizations.
Nebius AI Studio Inference Service offers hosted open-source models for faster, cheaper, and more accurate results than proprietary APIs. Scale seamlessly with no MLOps needed, ideal for RAG and production workloads.
WhyLabs provides AI observability, LLM security, and model monitoring. Guardrail Generative AI applications in real-time to mitigate risks.
Arize AI provides a unified LLM observability and agent evaluation platform for AI applications, from development to production. Optimize prompts, trace agents, and monitor AI performance in real time.
Kortical is an AI platform designed for data scientists, offering AutoML and ML Ops capabilities to rapidly build and deploy enterprise-grade AI solutions. It supports code and UI interfaces, promoting faster iteration and better model performance.
deepsense.ai offers custom AI software development and consulting, specializing in LLMs, MLOps, computer vision, and AI-powered automation to drive business growth. Partner with trusted AI experts.
Tryolabs is an AI and machine learning consulting company that helps businesses create value by providing tailored AI solutions, data engineering, and MLOps.
LLMOps Space is a global community for LLM practitioners. Focused on content, discussions, and events related to deploying Large Language Models into production.
Hopsworks is a real-time AI lakehouse with a feature store, providing seamless integration for AI pipelines and superior performance for data and AI teams. Built for quality and trusted by leading AI teams.
LandingAI is a visual AI platform transforming computer vision with advanced AI and deep learning. Automate document processing and build computer vision models with LandingLens.
Remyx AI empowers AI developers and teams to run efficient experiments, build reliable models, and deploy production AI seamlessly, focusing on knowledge curation and real-world impact.
Valuer.ai provides AI-powered business insights, market research, and data-driven strategies to optimize operations and drive growth. Leverage their custom RAG architecture and AI models for enterprise-grade intelligence.
Buzzi.ai develops custom AI agents that automate business tasks, improve operational efficiency, and drive growth through secure, integrated AI solutions tailored to specific industry needs.
Sulie provides powerful time series forecasting for everyone, enabling fast and accurate predictions without ML expertise. It supports demand, supply chain, and resource forecasting across diverse industries.