
$ 2.00
$ 3.00
$ 4.00
Contact Sales
Proud of the love you're getting? Show off your AI Toolbook reviews—then invite more fans to share the love and build your credibility.
Add an AI Toolbook badge to your site—an easy way to drive followers, showcase updates, and collect reviews. It's like a mini 24/7 billboard for your AI.


SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.


SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.


SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.

Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.

Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.

Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.


Kilo Code is an AI-powered coding assistant designed to enhance software development within IDEs like Visual Studio Code and JetBrains. It integrates features from existing AI coding tools while providing unique functionalities such as the Model Context Protocol (MCP) Server Marketplace and intelligent system notifications. Kilo Code streamlines development by automating repetitive tasks, generating code from natural language prompts, and providing intelligent suggestions to developers.


Kilo Code is an AI-powered coding assistant designed to enhance software development within IDEs like Visual Studio Code and JetBrains. It integrates features from existing AI coding tools while providing unique functionalities such as the Model Context Protocol (MCP) Server Marketplace and intelligent system notifications. Kilo Code streamlines development by automating repetitive tasks, generating code from natural language prompts, and providing intelligent suggestions to developers.


Kilo Code is an AI-powered coding assistant designed to enhance software development within IDEs like Visual Studio Code and JetBrains. It integrates features from existing AI coding tools while providing unique functionalities such as the Model Context Protocol (MCP) Server Marketplace and intelligent system notifications. Kilo Code streamlines development by automating repetitive tasks, generating code from natural language prompts, and providing intelligent suggestions to developers.


Unsloth.AI is an open-source platform designed to accelerate and simplify the fine-tuning of large language models (LLMs). By leveraging manual mathematical derivations, custom GPU kernels, and efficient optimization techniques, Unsloth achieves up to 30x faster training speeds compared to traditional methods, without compromising model accuracy. It supports a wide range of popular models, including Llama, Mistral, Gemma, and BERT, and works seamlessly on various GPUs, from consumer-grade Tesla T4 to high-end H100, as well as AMD and Intel GPUs. Unsloth empowers developers, researchers, and AI enthusiasts to fine-tune models efficiently, even with limited computational resources, democratizing access to advanced AI model customization. With a focus on performance, scalability, and flexibility, Unsloth.AI is suitable for both academic research and commercial applications, helping users deploy specialized AI solutions faster and more effectively.


Unsloth.AI is an open-source platform designed to accelerate and simplify the fine-tuning of large language models (LLMs). By leveraging manual mathematical derivations, custom GPU kernels, and efficient optimization techniques, Unsloth achieves up to 30x faster training speeds compared to traditional methods, without compromising model accuracy. It supports a wide range of popular models, including Llama, Mistral, Gemma, and BERT, and works seamlessly on various GPUs, from consumer-grade Tesla T4 to high-end H100, as well as AMD and Intel GPUs. Unsloth empowers developers, researchers, and AI enthusiasts to fine-tune models efficiently, even with limited computational resources, democratizing access to advanced AI model customization. With a focus on performance, scalability, and flexibility, Unsloth.AI is suitable for both academic research and commercial applications, helping users deploy specialized AI solutions faster and more effectively.


Unsloth.AI is an open-source platform designed to accelerate and simplify the fine-tuning of large language models (LLMs). By leveraging manual mathematical derivations, custom GPU kernels, and efficient optimization techniques, Unsloth achieves up to 30x faster training speeds compared to traditional methods, without compromising model accuracy. It supports a wide range of popular models, including Llama, Mistral, Gemma, and BERT, and works seamlessly on various GPUs, from consumer-grade Tesla T4 to high-end H100, as well as AMD and Intel GPUs. Unsloth empowers developers, researchers, and AI enthusiasts to fine-tune models efficiently, even with limited computational resources, democratizing access to advanced AI model customization. With a focus on performance, scalability, and flexibility, Unsloth.AI is suitable for both academic research and commercial applications, helping users deploy specialized AI solutions faster and more effectively.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Genloop is a platform that empowers enterprises to build, deploy, and manage custom, private large language models (LLMs) tailored to their business data and requirements — all with minimal development effort. It turns enterprise data into intelligent, conversational insights, allowing users to ask business questions in natural language and receive actionable analysis instantly. The platform enables organizations to confidently manage their data-driven decision-making by offering advanced fine-tuning, automation, and deployment tools. Businesses can transform their existing datasets into private AI assistants that deliver accurate insights, while maintaining complete security and compliance. Genloop’s focus is on bridging the gap between AI and enterprise data operations, providing a scalable, trustworthy, and adaptive solution for teams that want to leverage AI without extensive coding or infrastructure complexity.


Genloop is a platform that empowers enterprises to build, deploy, and manage custom, private large language models (LLMs) tailored to their business data and requirements — all with minimal development effort. It turns enterprise data into intelligent, conversational insights, allowing users to ask business questions in natural language and receive actionable analysis instantly. The platform enables organizations to confidently manage their data-driven decision-making by offering advanced fine-tuning, automation, and deployment tools. Businesses can transform their existing datasets into private AI assistants that deliver accurate insights, while maintaining complete security and compliance. Genloop’s focus is on bridging the gap between AI and enterprise data operations, providing a scalable, trustworthy, and adaptive solution for teams that want to leverage AI without extensive coding or infrastructure complexity.


Genloop is a platform that empowers enterprises to build, deploy, and manage custom, private large language models (LLMs) tailored to their business data and requirements — all with minimal development effort. It turns enterprise data into intelligent, conversational insights, allowing users to ask business questions in natural language and receive actionable analysis instantly. The platform enables organizations to confidently manage their data-driven decision-making by offering advanced fine-tuning, automation, and deployment tools. Businesses can transform their existing datasets into private AI assistants that deliver accurate insights, while maintaining complete security and compliance. Genloop’s focus is on bridging the gap between AI and enterprise data operations, providing a scalable, trustworthy, and adaptive solution for teams that want to leverage AI without extensive coding or infrastructure complexity.


Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.


Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.


Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.


Pruna.ai is an AI optimization engine designed to make machine learning models faster, smaller, cheaper, and greener with minimal overhead. It leverages advanced compression algorithms like pruning, quantization, distillation, caching, and compilation to reduce model size and accelerate inference times. The platform supports various AI models including large language models, vision transformers, and speech recognition models, making it ideal for real-time applications such as autonomous systems and recommendation engines. Pruna.ai aims to lower computational costs, decrease energy consumption, and improve deployment scalability across cloud and on-premise environments while ensuring minimal loss of model quality.


Pruna.ai is an AI optimization engine designed to make machine learning models faster, smaller, cheaper, and greener with minimal overhead. It leverages advanced compression algorithms like pruning, quantization, distillation, caching, and compilation to reduce model size and accelerate inference times. The platform supports various AI models including large language models, vision transformers, and speech recognition models, making it ideal for real-time applications such as autonomous systems and recommendation engines. Pruna.ai aims to lower computational costs, decrease energy consumption, and improve deployment scalability across cloud and on-premise environments while ensuring minimal loss of model quality.


Pruna.ai is an AI optimization engine designed to make machine learning models faster, smaller, cheaper, and greener with minimal overhead. It leverages advanced compression algorithms like pruning, quantization, distillation, caching, and compilation to reduce model size and accelerate inference times. The platform supports various AI models including large language models, vision transformers, and speech recognition models, making it ideal for real-time applications such as autonomous systems and recommendation engines. Pruna.ai aims to lower computational costs, decrease energy consumption, and improve deployment scalability across cloud and on-premise environments while ensuring minimal loss of model quality.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.

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 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 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.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

LM Studio is a local large language model (LLM) platform that enables users to run and download powerful AI language models like LLaMa, MPT, and Gemma directly on their own computers. This platform supports Mac, Windows, and Linux operating systems, providing flexibility to users across different devices. LM Studio focuses on privacy and control by allowing users to work with AI models locally without relying on cloud-based services, ensuring data stays on the user’s device. It offers an easy-to-install interface with step-by-step guidance for setup, facilitating access to advanced AI capabilities for developers, researchers, and AI enthusiasts without requiring an internet connection.

H2LooP AI is an enterprise-focused AI platform designed specifically for system software teams working in industries like automotive, electronics, IoT, telecom, avionics, and semiconductors. It integrates seamlessly with existing development toolsets without disrupting workflows. The platform offers fully on-premise deployment and is trained on a company’s proprietary system code, logs, and specifications, ensuring complete data privacy and security. H2LooP AI facilitates co-building, fast prototyping, and research-backed innovation tailored to complex system software development environments.

H2LooP AI is an enterprise-focused AI platform designed specifically for system software teams working in industries like automotive, electronics, IoT, telecom, avionics, and semiconductors. It integrates seamlessly with existing development toolsets without disrupting workflows. The platform offers fully on-premise deployment and is trained on a company’s proprietary system code, logs, and specifications, ensuring complete data privacy and security. H2LooP AI facilitates co-building, fast prototyping, and research-backed innovation tailored to complex system software development environments.

H2LooP AI is an enterprise-focused AI platform designed specifically for system software teams working in industries like automotive, electronics, IoT, telecom, avionics, and semiconductors. It integrates seamlessly with existing development toolsets without disrupting workflows. The platform offers fully on-premise deployment and is trained on a company’s proprietary system code, logs, and specifications, ensuring complete data privacy and security. H2LooP AI facilitates co-building, fast prototyping, and research-backed innovation tailored to complex system software development environments.
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