- AI Developers: Building and deploying AI applications.
- MLOps Engineers: Managing the lifecycle of machine learning models.
- Data Scientists: Working with LLMs, vector databases, and Jupyter notebooks.
- Businesses & Enterprises: Seeking to deploy AI solutions in a self-hosted, secure, and scalable manner.
- Organizations: Aiming to avoid vendor lock-in for their AI infrastructure.
- DevOps Teams: Responsible for setting up and maintaining AI deployment environments.
How to Use Batteries Included?
- Sign Up: Begin with seamless onboarding to quickly set up your environment.
- One-Click Deployments: Utilize one-click deployments to instantly launch production-ready LLMs (like Ollama, OpenWebUI) and vector databases (like PGVector).
- Local Setup (Optional): For local deployments, execute a provided script (e.g., `/bin/bash -c "$(curl -fsSL https://home.batteriesincl.com/api/v1/scripts/start_local)"`).
- Integrate: Integrate with your existing tech stack without the need for extensive YAML configuration.
- Develop & Monitor: Use the complete MLOps and AI development stack (including MLflow) and leverage advanced monitoring and self-healing systems.
- Self-Hosted Infrastructure: Provides a complete AI infrastructure that users can self-host, offering greater control and data privacy while eliminating vendor lock-in.
- Hyperscaler Tools for Self-Hosting: Offers the same high-end tools used by hyperscale cloud providers (like LLMs, vector databases, MLOps stack) but optimized for self-hosted environments.
- One-Click Deployments: Simplifies complex deployments of production-ready LLMs and vector databases with just a single click.
- Seamless Integration: Designed to integrate easily with existing tech stacks without requiring complex YAML configurations.
- Comprehensive MLOps & AI Dev Stack: Includes essential tools like MLflow and model registries for a complete development and operational workflow.
- Enterprise-Grade Security & Scalability: Features industry-leading security (SSO, automated SSL), dynamic autoscaling for serverless apps, and cost-effective blue/green canary deployments.
- Offers full control and avoids vendor lock-in through self-hosting capabilities.
- Simplifies the deployment of complex AI components like LLMs and vector databases with one-click solutions.
- Integrates seamlessly with existing technology stacks without demanding extensive configuration.
- Provides a comprehensive MLOps and AI development stack, including MLflow.
- Ensures high security with features like SSO and automated SSL.
- Features dynamic autoscaling and cost-effective blue/green deployments for efficient scaling.
- Includes advanced monitoring and self-healing systems for reliable operations.
- Requires self-hosting, which implies users need technical expertise to manage their own infrastructure.
- Specific pricing details or subscription tiers are not explicitly provided on the browsed page.
- While "seamless onboarding" is mentioned, the underlying complexity of self-hosting an AI platform might still be challenging for less technical users.
- The benefits of "cost-effective scaling" are stated, but without comparative data or case studies.
Free Plan
$ 0.00
Small cluster deployment (up to 3 nodes)
Single-node Docker development environment
Full platform capabilities
Powerful and intuitive user interface
Built on enterprise-grade open source technologies
Premium Plan
$ 30.00
Scale beyond 3 nodes for production workloads
Simple usage-based pricing for production environments
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Mobisoft Infotech
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Mobisoft Infotech
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LLM Chat
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LLM Chat
LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.
LLM Chat
LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.
Awan LLM
Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.
Awan LLM
Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.
Awan LLM
Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.
LLM as-a-service
LLM.co LLM-as-a-Service (LLMaaS) is a secure, enterprise-grade AI platform that provides private and fully managed large language model deployments tailored to an organization’s specific industry, workflows, and data. Unlike public LLM APIs, each client receives a dedicated, single-tenant model hosted in private clouds or virtual private clouds (VPCs), ensuring complete data privacy and compliance. The platform offers model fine-tuning on proprietary internal documents, semantic search, multi-document Q&A, custom AI agents, contract review, and offline AI capabilities for regulated industries. It removes infrastructure burdens by handling deployment, scaling, and monitoring, while enabling businesses to customize models for domain-specific language, regulatory compliance, and unique operational needs.
LLM as-a-service
LLM.co LLM-as-a-Service (LLMaaS) is a secure, enterprise-grade AI platform that provides private and fully managed large language model deployments tailored to an organization’s specific industry, workflows, and data. Unlike public LLM APIs, each client receives a dedicated, single-tenant model hosted in private clouds or virtual private clouds (VPCs), ensuring complete data privacy and compliance. The platform offers model fine-tuning on proprietary internal documents, semantic search, multi-document Q&A, custom AI agents, contract review, and offline AI capabilities for regulated industries. It removes infrastructure burdens by handling deployment, scaling, and monitoring, while enabling businesses to customize models for domain-specific language, regulatory compliance, and unique operational needs.
LLM as-a-service
LLM.co LLM-as-a-Service (LLMaaS) is a secure, enterprise-grade AI platform that provides private and fully managed large language model deployments tailored to an organization’s specific industry, workflows, and data. Unlike public LLM APIs, each client receives a dedicated, single-tenant model hosted in private clouds or virtual private clouds (VPCs), ensuring complete data privacy and compliance. The platform offers model fine-tuning on proprietary internal documents, semantic search, multi-document Q&A, custom AI agents, contract review, and offline AI capabilities for regulated industries. It removes infrastructure burdens by handling deployment, scaling, and monitoring, while enabling businesses to customize models for domain-specific language, regulatory compliance, and unique operational needs.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai