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.
Connect Google Sheets to Self-Hosted AI on GPU
Build a custom Google Sheets function that calls your GPU-hosted LLM for AI-powered text generation directly in cells. This guide covers Apps Script setup, API connectivity, and turning any spreadsheet…
PyTorch CUDA Version Compatibility Matrix
Complete PyTorch CUDA compatibility matrix. Know which CUDA toolkit, NVIDIA driver, and cuDNN versions work with each PyTorch release on…
TensorFlow GPU Not Using CUDA: Fix Guide
Fix TensorFlow silently falling back to CPU instead of using your NVIDIA GPU. Covers driver compatibility, missing CUDA libraries, environment…
Docker GPU Passthrough Not Working: Fix Guide
Fix Docker containers that cannot see your NVIDIA GPUs. Covers NVIDIA Container Toolkit installation, runtime configuration, permission errors, and multi-GPU…
Hugging Face Model Download Fails: Troubleshooting
Fix Hugging Face model download failures including connection timeouts, authentication errors, disk space issues, and incomplete downloads on GPU servers.
Python GPU Memory Not Released After Inference: Fix
Fix GPU VRAM not being freed after Python inference completes. Covers PyTorch caching allocator behaviour, proper tensor cleanup, process-level memory…
vLLM Out of Memory: How to Fix KV Cache OOM
Fix vLLM KV cache out-of-memory errors. Learn how to tune gpu-memory-utilization, reduce max-model-len, enable quantization, and right-size your GPU for…
vLLM Slow Throughput: Optimization Checklist
Diagnose and fix slow vLLM throughput. Covers KV cache sizing, batch configuration, quantization, tensor parallelism tuning, and benchmark verification for…
vLLM Model Loading Fails: Troubleshooting Guide
Fix vLLM model loading failures including unsupported architectures, missing files, weight format errors, and authentication issues when serving LLMs on…
vLLM API Returns 500 Error: Debug Guide
Debug and fix HTTP 500 errors from vLLM's OpenAI-compatible API. Covers input validation failures, CUDA errors mid-inference, tokenizer issues, and…
Explore GPU Hosting Solutions
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Browse GPU ServersPyTorch Hosting
GPU-accelerated PyTorch on dedicated servers — CUDA, cuDNN, and NVMe pre-configured.
Deploy PyTorchvLLM Hosting
High-throughput LLM serving with vLLM — deploy on dedicated GPU hardware.
Deploy vLLMOllama Hosting
Run open source LLMs with Ollama — the simplest path to self-hosted AI.
Deploy OllamaOpen Source LLM Hosting
Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
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Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
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