Model Guides
Step-by-step setup guides for specific AI models on dedicated GPU servers. From LLM deployment to vision model hosting and speech model hosting, each guide includes configuration, optimisation tips, and GPU recommendations.
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.
DeepSeek V3 vs V2: Performance Upgrade on Dedicated GPU
In-depth comparison of DeepSeek V3 and V2 covering MoE architecture changes, inference speed improvements, VRAM requirements, and practical migration guidance…
ChromaDB vs FAISS vs Qdrant: Vector DB on GPU Servers
Comparison of ChromaDB, FAISS, and Qdrant for vector search on GPU servers covering performance characteristics, scaling behaviour, GPU acceleration, 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…
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…
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…
Mistral Large vs Mistral 7B: When to Upgrade
Practical comparison of Mistral Large and Mistral 7B covering quality gains, VRAM requirements, throughput trade-offs, and decision criteria for upgrading…
Qwen 2.5 vs Qwen 2: Self-Hosting Upgrade Guide
Comparison of Qwen 2.5 and Qwen 2 covering architectural improvements, benchmark gains, VRAM impact, and step-by-step migration guidance for self-hosted…
Phi-3.5 vs Phi-3: What Microsoft Improved
Technical comparison of Phi-3.5 and Phi-3 covering the new MoE variant, multilingual expansion, benchmark improvements, and what changes for GPU…
Gemma 2 vs Gemma 1: Google’s Model Evolution
Technical comparison of Google's Gemma 2 and Gemma 1 model families covering architecture updates, new size options, benchmark improvements, and…
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Deploy YOLO, PaddleOCR, Stable Diffusion, and other vision models on GPU-accelerated servers.
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Deploy Whisper, Coqui, Bark, and other speech models with low-latency inference.
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Vision-language models, audio-language models — deploy multimodal AI on dedicated GPUs.
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Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
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