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.
CUDA Out of Memory Error: How to Fix OOM on GPU Servers
Fix the RuntimeError CUDA out of memory error on GPU servers. Step-by-step guide to diagnose, resolve, and prevent OOM crashes in PyTorch and TensorFlow workloads.
nvidia-smi Shows No Devices: Troubleshooting
Fix nvidia-smi showing no devices or failing to communicate with the NVIDIA driver. Covers driver reinstallation, kernel module loading, secure…
Ollama GPU Not Detected: Fix Guide
Fix Ollama running on CPU instead of GPU. Covers NVIDIA driver detection, CUDA library issues, Docker configuration, and environment variable…
NVIDIA Driver Mismatch: Fixing CUDA Version Conflicts
Resolve NVIDIA driver and CUDA version conflicts on your GPU server. Learn how to diagnose version mismatches, fix compatibility issues,…
vLLM High Latency: Reducing Time to First Token
Reduce vLLM time to first token (TTFT) and inter-token latency. Covers prefill optimization, batch scheduling, model warm-up, and infrastructure tuning…
vLLM + Nginx: Fixing Proxy Timeout Issues
Fix Nginx proxy timeout errors when serving vLLM. Covers 504 Gateway Timeout for long generations, broken SSE streams, buffer configuration,…
vLLM Tensor Parallelism Not Working: Fix Guide
Fix vLLM tensor parallelism failures including NCCL errors, GPU visibility issues, uneven memory distribution, and configuration problems on multi-GPU servers.
vLLM Memory Fragmentation: Defragmentation Guide
Understand and fix vLLM memory fragmentation that reduces effective KV cache capacity. Covers PagedAttention block sizing, memory pool management, and…
vLLM Chat Template Errors: Fixing Tokenizer Issues
Fix vLLM chat template errors including missing templates, Jinja2 syntax failures, incorrect special tokens, and role mapping issues when using…
vLLM Quantized Model Loading Issues: GPTQ/AWQ Fix
Fix vLLM failures when loading GPTQ and AWQ quantized models. Covers missing quantization libraries, config mismatches, unsupported formats, and correct…
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