An intelligent NVIDIA GPU task scheduler with real-time monitoring and automatic job execution. Features persistent task queues, daemon scheduling, and multi-notification support for efficient GPU resource management.
A simple tool to expose only specified number of GPUs with desired memory to Tensorflow
ML Framework and CUDA Checker is a Python-based GUI application for checking PyTorch, TensorFlow, and CUDA installations. It provides detailed system specs, compatibility checks, advanced GPU management, and offers options to view instructions, export logs, and update machine learning frameworks.
🎤 Enhance speech-to-text with ultra-low-latency processing and smart GPU management for efficient, self-hosted solutions.
Ultra-low-latency speech-to-text with intelligent GPU management - Enhanced version with lazy loading, auto resource release, and modern multi-language UI
🎙️ High-quality Text-to-Speech system based on Llasa-8B with intelligent GPU memory management. Features: 96% memory savings, Web UI + REST API + MCP, auto GPU selection, Docker deployment.
Multi-server GPU slot management for LM Studio and other OpenAI-compatible inference backends
🎙️ Generate high-quality speech from text with Llasa-TTS-8B, featuring intelligent GPU management and multi-language support for seamless integration.
GPU management on multi-GPU platforms
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