Found 9 results for: Custom LLMs
The 'cloud' isn't magic; it's just someone else's computer reading your sensitive data. Learn how to deploy Llama 2 and the new Mistral 7B locally using Ollama on a high-frequency NVMe VPS.
ChatGPT is powerful, but is it GDPR compliant? Learn how to deploy your own open-source Large Language Model (GPT-J) on CoolVDS infrastructure using PyTorch and Hugging Face. Keep your data in Norway.
It is January 2023, and conversational AI is booming. But sending Norwegian customer data to US APIs is a compliance minefield. Here is how to build a low-latency, privacy-preserving AI proxy layer.
Deploying Generative AI in Norway requires more than just an API key. Learn how to architect a secure, high-performance RAG layer on CoolVDS to leverage Claude while keeping your proprietary data safe on Norwegian soil.
Move beyond basic API calls. Learn how to architect robust Google Gemini integrations using Python, Redis caching, and secure infrastructure on Linux, tailored for Norwegian data compliance standards.
Stop wasting GPU memory on fragmentation. Learn how to deploy vLLM with PagedAttention for 24x higher throughput, keep your data compliant with Norwegian GDPR, and optimize your inference stack on CoolVDS.
Stop leaking data to US clouds. We benchmark Pinecone against self-hosted Weaviate and Qdrant on Norwegian infrastructure to solve the latency and sovereignty crisis.
Retrieval-Augmented Generation (RAG) is the architecture of 2023, but outsourcing your vector database poses massive compliance risks. Learn how to deploy a high-performance, self-hosted vector engine using pgvector on NVMe infrastructure in Oslo.
The H100 Hopper architecture changes the economics of LLM training, but raw compute is worthless without IOPS to feed it. We dissect the H100's FP8 capabilities, PyTorch 2.0 integration, and why Norway's power grid is the secret weapon for AI ROI.