Private Inference

Sovereign LLM Deployment &
Local-First Infrastructure

Run state-of-the-art models on your own terms. We deploy high-performance LLMs (Llama, Qwen, Mistral) on-premise or in your private VPC with zero data exfiltration risk.

Sub-100ms Latency
Zero Data Exfiltration

Perfect For

Organizations with high security standards and strict data residency requirements.

Organizations with strict data-residency requirements

Firms seeking to reduce variable API costs

Enterprises needing sub-100ms latency

Government and DPIIT-certified startups

What's Included

Complete infrastructure for private, high-speed AI inference.

VPC-Native Deployment

  • Secure hosting on AWS, Azure, or GCP.

  • Private network isolation.

  • Inbound-only firewall rules.

Model Right-Sizing

  • Optimizing 7B–70B models.

  • Domain-specific fine-tuning.

  • Task-specific performance tuning.

Quantization Optimization

  • High-speed inference using GGUF/EXL2.

  • Reduced VRAM footprint.

  • Optimized throughput.

Hardware Provisioning

  • Architecting GPU/NPU requirements.

  • Bare-metal cluster setup.

  • Resource orchestration.

Private API Gateway

  • Secure local endpoint for all apps.

  • Load balancing for inference.

  • Token usage monitoring.

Offline-Ready Systems

  • Air-gapped AI capabilities.

  • Local knowledge base sync.

  • Maximum physical security.

Our Governance Commitment

Every Entesta engagement is underpinned by the same four non-negotiable principles — regardless of the service, industry, or deployment scale.

100%

Data Sovereignty

Zero third-party LLM training. Your data stays in your environment — always.

SOC2 · HIPAA · GDPR

Compliance Ready

Every deployment is architected to satisfy regulated-industry audit requirements from day one.

Append-Only

Forensic Audit Logs

Every AI interaction is logged immutably — full chain-of-reasoning traceability for legal and compliance teams.

24×7

SLA-Backed Support

Post-handover incident response, model monitoring, and adversarial re-testing — on your schedule.

Deployment FAQ

Answers about private LLM infrastructure.

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