What is included in Private LLM Deployment
Every engagement covers these core deliverables. No hidden add-ons, no scope creep surprises.
Private VPC Infrastructure Provisioning (AWS EC2 GPU, GCP Cloud Run, Azure ML)
SLA-backed engineering implementation of private vpc infrastructure provisioning (aws ec2 gpu, gcp cloud run, azure ml) tailored to your system architecture.
High-Performance Inference Engine Setup (vLLM & TensorRT-LLM)
SLA-backed engineering implementation of high-performance inference engine setup (vllm & tensorrt-llm) tailored to your system architecture.
Model Fine-Tuning (LoRA, QLoRA, SFT, DPO) on Domain Data
SLA-backed engineering implementation of model fine-tuning (lora, qlora, sft, dpo) on domain data tailored to your system architecture.
Model Quantization (AWQ, GGUF, FP8) for Reduced GPU Memory Footprint
SLA-backed engineering implementation of model quantization (awq, gguf, fp8) for reduced gpu memory footprint tailored to your system architecture.
Air-Gapped & On-Premise GPU Server Deployment
SLA-backed engineering implementation of air-gapped & on-premise gpu server deployment tailored to your system architecture.
Custom OpenAI-Compatible API Server Gateway
SLA-backed engineering implementation of custom openai-compatible api server gateway tailored to your system architecture.
From kickoff to delivery
A repeatable, transparent process we have refined across 200+ projects. No guesswork on your side.
Model Selection
Dataset Preparation
Fine-Tuning & Quantization
VPC Serving Deployment
Ready to build your Private LLM Deployment project?
A free 30-minute call. We review your requirements, identify risks early, and give you an honest assessment of what it takes to ship this right.
What We Solve in Private LLM Deployment
Strict regulatory requirements prevent using public cloud APIs like OpenAI or Claude.
Fully air-gapped or private VPC model hosting with zero external internet telemetry.
Unpredictable public API pricing scaling exponentially with high token volumes.
Fixed infrastructure cost model using self-hosted GPU instances with high token throughput.
Base LLMs lack specialized domain knowledge for industry jargon and internal specs.
Custom LoRA/QLoRA fine-tuning on proprietary enterprise documentation and codebases.
Expert Guidance on Private LLM Deployment
Is a private LLM as smart as GPT-4o?
Fine-tuned models like Llama 3 70B or DeepSeek-R1 often match or exceed GPT-4 performance in specific specialized enterprise domain tasks.
What GPU infrastructure is required?
We optimize models using quantization (FP8/INT4), allowing high-speed serving even on budget single or dual GPU setups.
Ready to deploy production-grade Private LLM Deployment?
Talk directly with our senior software architects. No sales fluff, just clear engineering blueprints, cost estimates, and rapid execution.