# Distributed

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.

The Microsoft Cognitive Toolkit (CNTK) is an open-source, commercial-grade distributed deep learning tool. It uses directed graphs to describe the computational steps of a neural network, supports common model types, and implements automatic differentiation and parallel computing. CNTK supports 64-bit Linux and Windows operating systems and can be used as a library for Python, C or C++ programs, or as an independent machine learning tool using its own model description language, BrainScript.

Mobile Credits is an AI-powered distributed automated payment processor, ensuring secure and fast real-time fund transfers worldwide with 24/7 service availability. It offers real-time, automated transaction processing capabilities, enabling easy global contactless payments instantly through any mobile device or existing phone.