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Deploying DeepSeek-R1 on Dedicated 64-Core Bare-Metal with SecondBrain RAG

Author: AIOMATIC DevOps Team 10 min read
Deploying DeepSeek-R1 on Dedicated 64-Core Bare-Metal with SecondBrain RAG

DeepSeek-R1 has revolutionized open reasoning performance, competing directly with proprietary models like OpenAI o1. However, sending enterprise financial records or source code to public API endpoints introduces major security risks.

The Sovereign Bare-Metal Architecture

AIOMATIC provides pre-configured 64-vCPU Dual Intel Xeon bare-metal cloud nodes tailored specifically for self-hosted reasoning models. The stack includes:

  1. Inference Engine: vLLM / Ollama server running quantized DeepSeek-R1 weights with continuous batching and PagedAttention.
  2. Vector Memory: High-performance PGVector cluster indexing enterprise PDFs, SQL tables, and CRM transcripts with sub-15ms semantic recall.
  3. Zero Trust Ingress: Cloudflare Zero Trust tunnels with JWT authentication, preventing any open public IP ports.

Deploy Your Private AI Compute Workforce

Need custom GPU clusters, 64-core bare-metal cloud servers, or autonomous AI agent swarms? Talk directly to AIOMATIC infrastructure engineers.