GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
PaddleOCR vs Tesseract vs EasyOCR: OCR Model Comparison
Practical comparison of PaddleOCR, Tesseract, and EasyOCR covering accuracy, speed, language support, GPU acceleration, and deployment guidance for OCR workloads on dedicated GPU servers.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
LangChain vs LlamaIndex vs Haystack: RAG Framework Guide
Practical comparison of LangChain, LlamaIndex, and Haystack for building RAG applications on self-hosted GPU servers covering architecture, flexibility, community, and…
Sentence-BERT vs BGE vs E5: Embedding Model Comparison
Comparison of Sentence-BERT, BGE, and E5 embedding models covering retrieval quality, speed, dimensionality, and deployment considerations for RAG pipelines on…
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,…
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,…
AutoGen vs CrewAI vs LangGraph: AI Agent Framework Guide
Comparison of AutoGen, CrewAI, and LangGraph for building AI agent systems covering architecture patterns, multi-agent coordination, self-hosted model support, and…
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,…
OpenAI SDK with Self-Hosted Models: Python Guide
Complete guide to using the official OpenAI Python SDK with self-hosted models via vLLM and Ollama covering chat completions, streaming,…
LlamaIndex with Self-Hosted Models: RAG Setup
Complete guide to building a RAG pipeline with LlamaIndex and self-hosted models via vLLM covering document ingestion, vector indexing, query…
LangChain with Ollama: Local LLM Integration
Step-by-step guide to integrating LangChain with Ollama for local LLM inference covering model setup, chains, RAG pipelines, embeddings, and deployment…
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