# GPU

Flux is a high-performance communication overlap library developed by ByteDance, designed for tensor and expert parallelism on GPUs. Through efficient kernels and compatibility with PyTorch, it supports various parallelization strategies and is suitable for large-scale model training and inference. Flux's main advantages include high performance, ease of integration, and support for multiple NVIDIA GPU architectures. It excels in large-scale distributed training, particularly with Mixture-of-Experts (MoE) models, significantly improving computational efficiency.

FlashInfer is a high-performance GPU kernel library specifically tailored for large language model (LLM) services. It significantly improves LLM performance during inference and deployment by providing efficient sparse/dense attention mechanisms, load-balancing scheduling, and memory efficiency optimizations. FlashInfer supports PyTorch, TVM, and C++ APIs, making it easy to integrate into existing projects. Its main advantages include efficient kernel implementations, flexible customization options, and broad compatibility. FlashInfer was developed to meet the increasing demand for LLM applications and to provide more efficient and reliable inference support.

kelindar/search is a Go language library that provides functionality for embedded vector search and semantic embeddings, built on llama.cpp. This library is particularly suitable for small to medium-sized projects that require powerful semantic search capabilities while maintaining a simple and efficient implementation. It supports GGUF BERT models, allowing users to leverage advanced embedding techniques without delving into the complexities of traditional search systems. The library also offers GPU acceleration for fast computations on supported hardware. If your dataset contains fewer than 100,000 entries, this library can be easily integrated into your Go application to implement semantic search features.

UALink? is an open industry standard organization focused on developing technical specifications for inter-accelerator communication to enable direct loads, storage, and atomic operations. This technology aims to provide low-latency and high-bandwidth networks for hundreds of accelerators while achieving simple load and storage semantics and software consistency. The UALink 1.0 specification will leverage the experience of founding members in developing and deploying various accelerators and switches. The alliance comprises a wide range of industry expertise, including cloud service providers, system OEMs, accelerator developers, switch developers, and IP providers. Additional use cases for AI connectivity in data centers are currently being developed.

Pioneer Computing Cloud is a one-stop AIGC cloud service platform offering cost-effective GPU infrastructure and seamlessly integrated cutting-edge AI inference technology. It comprehensively covers AI needs at different business stages, accelerating business growth. Key advantages of Pioneer Computing Cloud include: high-performance cloud service products, no management or maintenance of GPU infrastructure required, automatic elastic scaling, global coverage of GPU container instances, and 24/7 customer service. The product background indicates that Pioneer Computing Cloud aims to provide powerful computing support for AI application developers, reducing development costs and increasing efficiency.

The NVIDIA DLI Teaching Kits are a set of educational resources provided by the NVIDIA Deep Learning Institute (DLI) aimed at helping university educators incorporate GPU technology into their curricula. Developed in collaboration with leading university faculty, these teaching kits offer complete course designs and user-friendly resources that enable educators to bridge academic theory with real-world applications, fostering the critical computational skills needed by the next generation of innovators. Most teaching kits are now also available as ready-made Canvas LMS courses.

LLM GPU Helper is an online platform specialized in the field of artificial intelligence, offering services such as GPU memory computation, model recommendations, and access to a large model knowledge base. It helps businesses accelerate AI applications with tailored advice and expert knowledge, earning the trust of over 3,500 users and achieving a high rating of 5.0. The platform's key advantages include an accurate GPU memory calculator, personalized model recommendations, comprehensive knowledge base access, and special support for small businesses and startups.

GPUDeploy is a website that provides low-cost on-demand GPU resources, specifically designed for machine learning and artificial intelligence tasks. Users can instantly launch pre-configured GPU instances to support complex computational tasks. Its key advantages include low cost, instant availability, and pre-configured convenience, making it suitable for enterprises and individuals who need to quickly deploy machine learning models and algorithms.

vLLM is a fast, easy-to-use, and efficient library for large language model (LLM) inference and service provision. By leveraging the latest service throughput technologies, efficient memory management, continuous batch processing requests, CUDA/HIP graph fast model execution, quantization techniques, and optimized CUDA kernels, it provides high-performance inference services. vLLM seamlessly integrates with popular HuggingFace models, supports various decoding algorithms including parallel sampling and beam search, supports tensor parallelism for distributed inference, supports streaming output, and is compatible with OpenAI API servers. Moreover, vLLM supports both NVIDIA and AMD GPUs, as well as experimental prefix caching and multi-lora support.

Ollama is an open-source project that allows for local execution of various large AI models on Windows, supporting GPU acceleration and featuring a built-in OpenAI model compatibility layer. It provides a permanent online API, allowing users seamless access to Ollama's full model library for image and voice interactions. Ollama empowers developers and creators to harness the power of AI on Windows without any configuration required, enabling them to build AI applications.

Saturn Cloud is a cloud platform that simplifies the management and scaling of complex infrastructure requirements for data science and machine learning. It provides an environment for data science using R and Python, and supports features like GPUs, Dask clusters, and more. Saturn Cloud helps data scientists, data science leaders, and software engineers streamline the development, deployment, and data processing workflows. The product offers different features and pricing plans to cater to various needs.

Colaboratory, or Colab for short, is an online programming platform launched by Google's research team. Users can write and run Python code directly in their web browsers and leverage Google Cloud's free GPU/TPU resources for accelerated execution. Colab offers a range of functionalities including code editor, interactive execution, and visualization of results. It allows for the insertion of text, formulas, and images, making it an excellent assistant for data analysis and machine learning tasks. Key advantages include ease of setup, free GPU usage, and convenient sharing. Suitable for students, data scientists, AI researchers, and others to write Python code.

JuChiYun is a specialized GPU cloud service provider for the field of artificial intelligence. We offer stable AI cloud servers, high-speed disk space, and other services. We support both public cloud and private cloud solutions tailored for professional AI needs. Our services help to lower the entry barrier for cloud computing and improve research and educational efficiency.

NMKD Stable Diffusion GUI is a convenient interface tool that allows you to run Stable Diffusion locally on your own hardware. Stable Diffusion is a machine learning toolkit used for generating images from text. It is completely uncensored and unfiltered, and I am not responsible for the content generated. No data is shared or collected. This tool is under active development and may have some minor issues. Main Features: - Includes dependencies, no complex installation required - Supports text-to-image and image-to-image (image + text prompt) - Supports instruction-based image editing (InstructPix2Pix) - Prompt features: Focus/Emphasis, Negative Prompting - Supports custom Stable Diffusion models and custom VAE models - Run multiple prompts simultaneously - Built-in image viewer, displays information about the generated image - Built-in super-resolution (RealESRGAN) and face repair (CodeFormer or GFPGAN) - Prompt queue and prompt history - Option to create seamless (tiled) images, such as for game textures - Support for loading custom concepts (text inversion) - Support for loading LoRA concepts/characters/styles - Various user experience features - Fast speed, depending on your GPU (RTX 4090 < 1 second per image, RTX 3090 < 2 seconds per image) - Built-in security measures, scanning downloaded models for malware - Built-in update tool System Requirements: Please refer to the GitHub guide If you want to support development, please check out my Patreon, where you can also get access to my latest video interpolation tool Flowframes: https://www.patreon.com/platform/iframe?widget=become-patron-button&redirectURI=https%3A%2F%2Fitch.io%2Fgame%2Fedit%2F755540%23published&creatorID=19695417 For help or questions, join Discord: https://discord.com/widget?id=777892450232434688&theme=dark Please do not directly message or @ me, use the stable-diffusion-gui channel if you need help.

RunDiffusion is a fully managed Automatic1111 cloud product running on high-performance GPUs. No code writing, no software installation, no error handling required. It features a stable Diffusion version, private workspace, integrated file browser, smart timer, and more. Perfect for creating AI-generated art.