Best AI tools for< Stream Inference >

vLLM is a fast and easy-to-use library for LLM inference and serving. It offers state-of-the-art serving throughput, efficient management of attention key and value memory, continuous batching of incoming requests, fast model execution with CUDA/HIP graph, and various decoding algorithms. The tool is flexible with seamless integration with popular HuggingFace models, high-throughput serving, tensor parallelism support, and streaming outputs. It supports NVIDIA GPUs and AMD GPUs, Prefix caching, and Multi-lora. vLLM is designed to provide fast and efficient LLM serving for everyone.

Outspeed is a platform for Realtime Voice and Video AI applications, providing networking and inference infrastructure to build fast, real-time voice and video AI apps. It offers tools for intelligence across industries, including Voice AI, Streaming Avatars, Visual Intelligence, Meeting Copilot, and the ability to build custom multimodal AI solutions. Outspeed is designed by engineers from Google and MIT, offering robust streaming infrastructure, low-latency inference, instant deployment, and enterprise-ready compliance with regulations such as SOC2, GDPR, and HIPAA.

Tangia is an interactive streaming tool designed to enhance the streaming experience for content creators and viewers. It offers custom text-to-speech interactions, alerts, media sharing capabilities, monitor overlays, and charity integration. With a focus on engagement and community interaction, Tangia provides a wide range of features to create dynamic and entertaining streams. Users can personalize their interactions, incorporate memes, soundbites, and AI conversations, and access a vast library of memes and tools. Tangia aims to revolutionize the streaming experience by combining cutting-edge technology with a tight feedback loop to develop next-gen streaming tools.

Skyglass is an innovative AI tool that revolutionizes video creation by enabling users to easily incorporate Green Screen VFX on iPhone using AI technology. With Skyglass, users can create AI-generated environments and film themselves in any setting they can imagine, all without the need for physical trackers or prior VFX experience. The application offers industry-standard Hollywood VFX capabilities, allowing users to utilize Unreal Engine in real-time, stream environments from the cloud, and access a full library of high-quality assets. Skyglass also features AI background removal, real-time compositing, and Infinity Green Screen for extended creative possibilities.

Vengo AI is a cutting-edge B2B SaaS platform that democratizes AI creation, making it accessible for everyone, from influencers and brands to entrepreneurs and businesses. The platform offers a white glove service that allows users to easily integrate sophisticated AI identities into their websites with just one line of code. By joining the innovative community, members unlock the potential to create, customize, and monetize their digital twins, significantly enhancing their digital presence and generating new streams of passive income. Vengo AI acts as a dedicated agency, providing a free service to help users monetize their content effortlessly by creating personalized, monetizable digital twins using advanced AI. The platform excels in providing advanced customization and personalization for AI identities, ensuring that each digital twin mirrors the unique voice and personality of its creator. Vengo AI also offers tools to strategically enhance brands by leveraging the power of AI, enabling meaningful engagement with the audience.

VidLab Store is an AI-powered platform offering premium tools to simplify video creation and editing processes. The platform provides various AI-driven solutions such as AI Short Video Generator, AI Voiceover for Video Creators, Embed TikTok Live for WordPress, Realistic Text-to-Speech SaaS, and TikTok Video Downloader Without Watermark for WordPress. Users can enhance their video content with advanced AI technology, making the video creation process efficient and effective.

Bento is a personalized 'Link in Bio' platform that allows users to showcase all aspects of their identity and creations in one visually appealing page. It enables users to display their videos, podcasts, newsletters, photos, paid products, streams, and calendar events seamlessly. Bento aims to provide a central hub for users to share and monetize their content effectively, eliminating the need for multiple links. The platform is designed in Berlin and caters to creatives seeking a comprehensive and visually stunning way to present their work.

AutomaticShorts is an AI-powered platform that enables users to run a faceless channel on autopilot, leveraging their following to generate passive income through ad revenue, sponsors, affiliates, and more. The platform automates the process of shooting, voicing, and editing videos, allowing creators to focus on monetization strategies and audience engagement. With features like series creation, video customization, performance analysis, and passive income generation, AutomaticShorts empowers creators to effortlessly grow their online presence and revenue streams.

Stream is an AI application developed by the Tensorplex Team to showcase the capabilities of existing Bittensor Subnets in powering consumer Web3 platforms. The application is designed to provide precise summaries and deep insights by utilizing the TPLX-LLM model. Stream offers a curated list of podcasts that are summarized using the Bittensor Network.

Stream Chat A.I. is an AI-powered Twitch chat bot that provides a smart and engaging chat experience for communities. It offers unique features such as a fully customizable chat-bot with a unique personality, bespoke overlays for multimedia editing, and custom !commands for boosting interaction. The application is designed to enhance the Twitch streaming experience by providing dynamic content and continuous engagement with viewers.

Yakkr Growth is an AI-powered platform designed to help streamers grow their online presence effortlessly. The platform automates time-consuming tasks such as creating engaging social media content, optimizing stream titles, generating event ideas, and recommending hashtags. It also offers features like a Growth Dashboard, consultancy calls, mentorship, and a collaborative community to support streamers in achieving their goals. Yakkr Growth aims to save time, boost motivation, and help streamers grow their audience and income by leveraging AI technology.

Wave.video is an online video editor and hosting platform that allows users to create, edit, and host videos. It offers a wide range of features, including a live streaming studio, video recorder, stock library, and video hosting. Wave.video is easy to use and affordable, making it a great option for businesses and individuals who need to create high-quality videos.

Swapface is an AI-powered face swapping app that lets you create realistic face swaps with just a few taps. With Swapface, you can swap your face with celebrities, friends, or even animals. The app uses advanced artificial intelligence to seamlessly blend your face onto another person's body, creating hilarious and shareable results.

Magicam is an advanced AI tool that offers the ultimate real-time face swap solution. It uses cutting-edge technology to seamlessly swap faces in real-time, providing users with a fun and engaging experience. With Magicam, you can transform your face into anyone else's instantly, whether it's a celebrity, a friend, or a fictional character. The application is user-friendly and requires no technical expertise to use. It is perfect for creating entertaining videos, taking hilarious selfies, or simply having fun with friends and family.

NewsDeck is an AI-powered news analysis tool that allows users to find, filter, and analyze thousands of articles daily. It leverages OneSub's intelligent newsreader AI to provide real-time access to the global news cycle. Users can stream topics of interest, access news stories related to over 500,000 entities, and explore correlated coverage across various publishers. The tool is designed to be ethical and transparent in its operations, with a small team dedicated to changing the way news is consumed.

TTS.Monster is an AI text-to-speech tool designed specifically for Twitch users. It utilizes advanced AI technology to convert text into natural-sounding speech, enhancing the streaming experience for content creators and viewers alike. With TTS.Monster, users can easily generate high-quality voiceovers for their Twitch streams, chat interactions, and more. The tool offers a user-friendly interface and a wide range of customization options to tailor the voice output to individual preferences. Whether for entertainment or accessibility purposes, TTS.Monster provides a seamless and engaging audio solution for Twitch broadcasters.

Veo is a sports camera and software company that provides tools for recording, analyzing, and live-streaming games. Veo's AI-powered tools automatically break down your game, so it's ready for you to watch and analyze. Veo Analytics provides an overview of your team's performance, and Veo Live lets you stream your games live to any destination. Veo is used by clubs on all levels from all over the world, including Inter Miami CF, Wolverhampton, and Burnley F.C.

LiveReacting is a professional live streaming studio that enables users to create branded and interactive live stream shows, interviews, and more. It offers features like pre-recorded videos, interactive games, polls, and customization options to engage the audience. Ideal for social media managers, digital agencies, brands, and creators, LiveReacting provides a cloud-based streaming studio accessible via a browser, allowing users to stream to platforms like Facebook, YouTube, and Twitch. With over 70 templates and deep customization capabilities, users can easily create engaging live content.

Eklipse is an AI-powered tool that helps streamers and content creators automatically generate highlights from their Twitch, YouTube, and Facebook streams and videos. It uses advanced AI technology to identify key moments in your streams, such as exciting gaming moments or funny in-game experiences, and then creates short, shareable clips that are perfect for TikTok, Reels, and YouTube Shorts. Eklipse also offers a range of editing tools that allow you to customize your clips and add your own branding. With Eklipse, you can save time and effort on editing, and focus on creating great content that will grow your channel.

imgix is an end-to-end visual media solution that enables users to create, transform, and optimize captivating images and videos for an unparalleled visual experience. It simplifies the complex visual media technology, improves web performance, and delivers responsive design. Trusted by innovative companies worldwide, imgix offers features such as easy cloud storage connection, intelligent compression, fast loading with a globally distributed CDN, over 150 image operations, video streaming, asset management, intuitive analytics, and powerful SDKs & tools.

superduper.io is a Python framework that integrates AI models, APIs, and vector search engines directly with existing databases. It allows hosting of models, streaming inference, and scalable model training/fine-tuning. Key features include integration of AI with data infrastructure, inference via change-data-capture, scalable model training, model chaining, simple Python interface, Python-first approach, working with difficult data types, feature storing, and vector search capabilities. The tool enables users to turn their existing databases into centralized repositories for managing AI model inputs and outputs, as well as conducting vector searches without the need for specialized databases.

KubeAI is a highly scalable AI platform that runs on Kubernetes, serving as a drop-in replacement for OpenAI with API compatibility. It can operate OSS model servers like vLLM and Ollama, with zero dependencies and additional OSS addons included. Users can configure models via Kubernetes Custom Resources and interact with models through a chat UI. KubeAI supports serving various models like Llama v3.1, Gemma2, and Qwen2, and has plans for model caching, LoRA finetuning, and image generation.

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

Kafka-ML is a framework designed to manage the pipeline of Tensorflow/Keras and PyTorch machine learning models on Kubernetes. It enables the design, training, and inference of ML models with datasets fed through Apache Kafka, connecting them directly to data streams like those from IoT devices. The Web UI allows easy definition of ML models without external libraries, catering to both experts and non-experts in ML/AI.

Qwen-TensorRT-LLM is a project developed for the NVIDIA TensorRT Hackathon 2023, focusing on accelerating inference for the Qwen-7B-Chat model using TRT-LLM. The project offers various functionalities such as FP16/BF16 support, INT8 and INT4 quantization options, Tensor Parallel for multi-GPU parallelism, web demo setup with gradio, Triton API deployment for maximum throughput/concurrency, fastapi integration for openai requests, CLI interaction, and langchain support. It supports models like qwen2, qwen, and qwen-vl for both base and chat models. The project also provides tutorials on Bilibili and blogs for adapting Qwen models in NVIDIA TensorRT-LLM, along with hardware requirements and quick start guides for different model types and quantization methods.

Llama3.java is a practical Llama 3 inference tool implemented in a single Java file. It serves as the successor of llama2.java and is designed for testing and tuning compiler optimizations and features on the JVM, especially for the Graal compiler. The tool features a GGUF format parser, Llama 3 tokenizer, Grouped-Query Attention inference, support for Q8_0 and Q4_0 quantizations, fast matrix-vector multiplication routines using Java's Vector API, and a simple CLI with 'chat' and 'instruct' modes. Users can download quantized .gguf files from huggingface.co for model usage and can also manually quantize to pure 'Q4_0'. The tool requires Java 21+ and supports running from source or building a JAR file for execution. Performance benchmarks show varying tokens/s rates for different models and implementations on different hardware setups.

Candle-vllm is an efficient and easy-to-use platform designed for inference and serving local LLMs, featuring an OpenAI compatible API server. It offers a highly extensible trait-based system for rapid implementation of new module pipelines, streaming support in generation, efficient management of key-value cache with PagedAttention, and continuous batching. The tool supports chat serving for various models and provides a seamless experience for users to interact with LLMs through different interfaces.

FastLLM is a high-performance large model inference library implemented in pure C++ with no third-party dependencies. Models of 6-7B size can run smoothly on Android devices. Deployment communication QQ group: 831641348

ScaleLLM is a cutting-edge inference system engineered for large language models (LLMs), meticulously designed to meet the demands of production environments. It extends its support to a wide range of popular open-source models, including Llama3, Gemma, Bloom, GPT-NeoX, and more. ScaleLLM is currently undergoing active development. We are fully committed to consistently enhancing its efficiency while also incorporating additional features. Feel free to explore our **_Roadmap_** for more details. ## Key Features * High Efficiency: Excels in high-performance LLM inference, leveraging state-of-the-art techniques and technologies like Flash Attention, Paged Attention, Continuous batching, and more. * Tensor Parallelism: Utilizes tensor parallelism for efficient model execution. * OpenAI-compatible API: An efficient golang rest api server that compatible with OpenAI. * Huggingface models: Seamless integration with most popular HF models, supporting safetensors. * Customizable: Offers flexibility for customization to meet your specific needs, and provides an easy way to add new models. * Production Ready: Engineered with production environments in mind, ScaleLLM is equipped with robust system monitoring and management features to ensure a seamless deployment experience.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework known for its lightweight design, scalability, and high-speed performance. It offers features like tri-process asynchronous collaboration, Nopad for efficient attention operations, dynamic batch scheduling, FlashAttention integration, tensor parallelism, Token Attention for zero memory waste, and Int8KV Cache. The tool supports various models like BLOOM, LLaMA, StarCoder, Qwen-7b, ChatGLM2-6b, Baichuan-7b, Baichuan2-7b, Baichuan2-13b, InternLM-7b, Yi-34b, Qwen-VL, Llava-7b, Mixtral, Stablelm, and MiniCPM. Users can deploy and query models using the provided server launch commands and interact with multimodal models like QWen-VL and Llava using specific queries and images.

TurboSeek is an open source AI search engine powered by Together.ai. It utilizes Next.js with Tailwind for the app router, Together AI for LLM inference, Mixtral 8x7B & Llama-3 for the LLMs, Bing for the search API, Helicone for observability, and Plausible for website analytics. The tool takes a user's question, queries the Bing search API for top results, scrapes text from the links, sends the question and context to Mixtral-8x7B, and generates follow-up questions using Llama-3-8B. Future tasks include optimizing source parsing, ignoring video links, adding regeneration option, ensuring proper citations, enabling sharing, implementing scrolling during answers, fixing hard refresh, adding caching with upstash redis, incorporating advanced RAG techniques, and adding authentication with Clerk and postgres/prisma.

GLake is an acceleration library and utilities designed to optimize GPU memory management and IO transmission for AI large model training and inference. It addresses challenges such as GPU memory bottleneck and IO transmission bottleneck by providing efficient memory pooling, sharing, and tiering, as well as multi-path acceleration for CPU-GPU transmission. GLake is easy to use, open for extension, and focuses on improving training throughput, saving inference memory, and accelerating IO transmission. It offers features like memory fragmentation reduction, memory deduplication, and built-in security mechanisms for troubleshooting GPU memory issues.

GPTQModel is an easy-to-use LLM quantization and inference toolkit based on the GPTQ algorithm. It provides support for weight-only quantization and offers features such as dynamic per layer/module flexible quantization, sharding support, and auto-heal quantization errors. The toolkit aims to ensure inference compatibility with HF Transformers, vLLM, and SGLang. It offers various model supports, faster quant inference, better quality quants, and security features like hash check of model weights. GPTQModel also focuses on faster quantization, improved quant quality as measured by PPL, and backports bug fixes from AutoGPTQ.

ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.

FlashInfer is a library for Language Languages Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-the-art performance across diverse scenarios.

This project provides a proof of concept for deploying a scalable, serverless LLM Generative AI inference engine on AWS Lambda. It leverages the llama.cpp project to enable the usage of more accessible CPU and RAM configurations instead of limited and expensive GPU capabilities. By deploying a container with the llama.cpp converted models onto AWS Lambda, this project offers the advantages of scale, minimizing cost, and maximizing compute availability. The project includes AWS CDK code to create and deploy a Lambda function leveraging your model of choice, with a FastAPI frontend accessible from a Lambda URL. It is important to note that you will need ggml quantized versions of your model and model sizes under 6GB, as your inference RAM requirements cannot exceed 9GB or your Lambda function will fail.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

Venice is a derived data storage platform, providing the following characteristics: 1. High throughput asynchronous ingestion from batch and streaming sources (e.g. Hadoop and Samza). 2. Low latency online reads via remote queries or in-process caching. 3. Active-active replication between regions with CRDT-based conflict resolution. 4. Multi-cluster support within each region with operator-driven cluster assignment. 5. Multi-tenancy, horizontal scalability and elasticity within each cluster. The above makes Venice particularly suitable as the stateful component backing a Feature Store, such as Feathr. AI applications feed the output of their ML training jobs into Venice and then query the data for use during online inference workloads.

BentoVLLM is an example project demonstrating how to serve and deploy open-source Large Language Models using vLLM, a high-throughput and memory-efficient inference engine. It provides a basis for advanced code customization, such as custom models, inference logic, or vLLM options. The project allows for simple LLM hosting with OpenAI compatible endpoints without the need to write any code. Users can interact with the server using Swagger UI or other methods, and the service can be deployed to BentoCloud for better management and scalability. Additionally, the repository includes integration examples for different LLM models and tools.

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

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