Dedicated GPU & AI Infrastructure
Deploy private LLMs, vector search, and AI pipelines with zero rate-limits. Pre-configured with Ollama, CUDA, PyTorch, and Docker for instant deployment.
Dedicated hardware optimized for running local LLMs (Llama 3.1 8B, DeepSeek-R1 8B, Qwen 2.5) with Ollama.
Dedicated bare-metal server with hardware GPU acceleration for LLM inference and embeddings.
hf.co/repositorynomic-embed-text & bge-large embedding endpointsEnterprise-grade capabilities for developers, AI engineers, and business automation pipelines.
Pull, run, and host any GGUF quantized model, fine-tune, or custom weights directly from Hugging Face Hub using single hf.co commands.
Native /v1/chat/completions REST API compatible with LangChain, LlamaIndex, AutoGen, CrewAI, and Vercel AI SDK without changing code.
Run Vision-Language models like LLaVA, Llama 3.2 Vision, and BakLLaVA for document OCR, image analysis, and visual question answering.
Native high-throughput embedding endpoints (nomic-embed-text, bge-large) to power Qdrant, ChromaDB, PGVector, and Milvus databases.
Pre-installed LiteLLM API Gateway to issue client API keys, enforce usage limits, log request metrics, and route multi-model requests.
Your prompts and business data never leave your server. Flat $249/mo pricing with zero per-token metered charges or external API limits.