Deploy DeepSeek-R1, Ollama, Llama 3, and vLLM on dedicated high-RAM KVM cloud nodes. Build private, lightning-fast OpenAI-compatible API endpoints with zero token billing and complete data privacy.
Private Intelligence Cloud
Eliminate unpredictable cloud API costs, bypass token rate limits, and maintain strict data sovereignty on high-bandwidth infrastructure.
Run millions of prompt tokens, automated agent workflows, code completions, and document parsing jobs for a flat, predictable monthly VPS fee.
Ideal for healthcare, legal, finance, and enterprise codebases. Your proprietary documents, client PII, and vector embeddings never touch third-party servers.
Enterprise PCIe 4.0 NVMe storage ensures 30B+ model weights load into RAM in seconds with zero I/O choking or cold-start timeouts.
Ollama and LiteLLM expose native /v1/chat/completions endpoints. Switch Cursor, VS Code, LangChain, or Flowise from OpenAI in 1 line of config.
Dedicated High-RAM Compute
Engineered for Ollama, DeepSeek-R1 GGUF quantized models, and continuous multi-agent inference workloads.
DeepSeek 1.5B • 7B • Llama 3 8B
DeepSeek 14B • 32k Context Window
DeepSeek 32B • 70B Quantized
Multi-Model • Large Embeddings
Full AI Ecosystem
Run state-of-the-art inference engines, beautiful web dashboards, and vector databases on your private server.
One-command model management. Pull, run, and hot-swap DeepSeek-R1, Mistral, CodeLlama, and Llama 3 with CPU AVX-512 acceleration.
ChatGPT-like graphical interface with multi-user team permissions, custom system prompts, document upload RAG, and image generation integration.
Add API key management, rate limits, usage tracking, and automated model failovers across your internal microservices.
Store high-dimensional vector embeddings locally for retrieval-augmented generation (RAG) over your internal company docs.
Our DevOps engineers will configure Docker Compose, SSL reverse proxies, Ollama, DeepSeek model weights, and Open WebUI on your server for free.
Common Questions
DeepSeek-R1 distilled models using 4-bit and 8-bit quantization (GGUF Q4_K_M) compress memory requirements while preserving over 98% of baseline benchmark accuracy. On our AMD EPYC high-frequency cores with DDR5 memory, you can expect between 25 and 60+ tokens/second, which is faster than human reading speed.
Yes. Ollama natively serves an OpenAI-compatible API endpoint at http://your-server-ip:11434/v1. In Cursor or Continue.dev, simply set the API base URL to your VPS and use your self-hosted DeepSeek-R1 model as your primary code assistant.
Yes. You can scale your VPS from 16 GB up to 128 GB of RAM and up to 24 dedicated vCPU cores instantly without reinstalling your operating system or re-downloading model weights.
We provide ultra-low latency nodes in **Germany (Frankfurt)** for Europe/global workloads and **India (Mumbai)** for lowest domestic ping.
