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.
Migrate from Google Vertex to Dedicated GPU: Translation Pipeline Guide
Replace your Google Vertex AI translation pipeline with self-hosted models on dedicated GPU, supporting more language pairs at a fraction of the per-character cost.
Migrate from Google Vertex to Dedicated GPU: Document Intelligence Guide
Move your document intelligence pipeline from Google Vertex AI to dedicated GPU infrastructure, processing invoices, contracts, and forms without per-page…
Migrate from OpenAI to Self-Hosted: Embeddings Pipeline Guide
Move your OpenAI embeddings pipeline to a self-hosted GPU and slash per-vector costs to near zero while processing millions of…
Migrate from Google Vertex to Dedicated GPU: Conversational AI Guide
Replace Google Vertex AI's Gemini-powered conversational AI with a self-hosted dedicated GPU solution, eliminating Google's per-token pricing and data residency…
Migrate from RunPod to Dedicated GPU: LLM Inference Guide
Move your LLM inference workloads from RunPod's spot and on-demand instances to a dedicated GPU with guaranteed availability, eliminating cold…
Migrate from RunPod to Dedicated GPU: Image Generation Guide
Move your Stable Diffusion or FLUX image generation pipeline from RunPod to a dedicated GPU, achieving consistent throughput without cold…
Migrate from RunPod to Dedicated GPU: Model Training
Move your model training workloads from RunPod to dedicated GPU servers for uninterrupted training runs, persistent storage, and predictable costs…
Migrate from OpenAI to Self-Hosted: Chatbot API Guide
Step-by-step guide to migrating your OpenAI-powered chatbot API to a self-hosted dedicated GPU, cutting costs by up to 80% while…
Migrate from AWS Bedrock to Dedicated GPU: Document Processing Guide
Replace your AWS Bedrock document processing pipeline with dedicated GPU infrastructure, processing thousands of documents daily without per-token charges or…
Migrate from AWS Bedrock to Dedicated GPU: Multi-Model Pipeline Guide
Replace your AWS Bedrock multi-model pipeline with a dedicated GPU setup, running multiple models simultaneously without paying separate per-token fees…
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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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