Tutorials
Hands-on deployment guides for AI frameworks, tools, and pipelines on dedicated GPU servers. Set up PyTorch, TensorFlow, vLLM, and more from scratch — full root access on bare metal.
Audio Format Conversion for AI: FFmpeg Guide
Convert audio files to the correct format for Whisper, Coqui TTS, and other AI models using FFmpeg. Covers sample rate, channel, bitdepth, noise reduction, and batch conversion on GPU servers.
Real-Time Audio to Whisper: WebSocket Setup
Build a real-time audio streaming pipeline to Whisper using WebSockets. Covers server setup, audio chunking, VAD integration, partial results, and…
NCCL Error: Multi-GPU Communication Troubleshooting
Fix NCCL errors on multi-GPU servers. Covers RuntimeError unhandled system error, connection timeouts, initialization failures, and network configuration for distributed…
cuDNN Error: Library Not Found or Version Mismatch
Resolve cuDNN library not found errors and version mismatches on GPU servers. Step-by-step guide for installing, configuring, and verifying cuDNN…
GPU Memory Leak: Detecting and Fixing VRAM Leaks
Detect and fix GPU memory leaks that cause VRAM usage to grow over time. Covers PyTorch reference leaks, gradient accumulation…
CUDA Toolkit Install Fails on Ubuntu: Fix Guide
Fix CUDA toolkit installation failures on Ubuntu GPU servers. Covers dependency conflicts, broken package managers, kernel header issues, and clean…
AI Workflow: Celery + Redis + GPU
Build a production AI workflow system using Celery and Redis to orchestrate multi-step GPU inference tasks with queuing, retries, and…
Gradio vs Streamlit for AI Demos on GPU
Comparison of Gradio and Streamlit for building AI demo interfaces on GPU servers covering setup complexity, model integration, real-time inference,…
FastAPI vs Flask for AI Inference APIs
Comparison of FastAPI and Flask for building AI inference APIs on GPU servers covering async support, throughput benchmarks, streaming responses,…
OpenAI API Compatibility: vLLM as Drop-In Replacement
How to use vLLM as a drop-in replacement for the OpenAI API covering endpoint compatibility, SDK configuration, chat completions, embeddings,…
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