MLOPS & GPU CLUSTERS

Self-Hosted Llama 3 70B vLLM GPU Inference Cluster

Slashed monthly cloud LLM API spend by 62% by serving open-weight 70B models on private NVIDIA GPU clusters with PagedAttention.

Architect: Rohit Key Impact: 62% Monthly Infrastructure Spend Reduction

Client & Enterprise Challenge

Escalating commercial LLM API bills ($45k+/month) threatened profit margins, while strict corporate data privacy rules prevented sending proprietary customer code to third-party APIs.

vLLMCUDAKubernetesDockerNVIDIA A100Llama 3

The Technical Solution & Architecture

Rohit designed a self-hosted open-weight LLM inference cluster running Llama 3 70B across 4x NVIDIA A100 GPUs using vLLM PagedAttention, prefix caching, and Kubernetes ingress auto-scaling.

Verified Quantifiable Business Metrics

62% Spend Reduction

Cut monthly AI infrastructure bill from $45,000 to $17,100.

4.2x Concurrency Boost

Handled 500+ concurrent user requests with zero queue backlog.

100% On-Premise Privacy

Guaranteed total data privacy with zero external network egress.

Executive Client Review

"Rohit designed a self-hosted GPU cluster on our private cloud that slashed our monthly infrastructure spend by 62% while guaranteeing 100% GDPR data privacy."

— Executive Leadership Team, SaaS Platform Enterprise (50M+ Monthly API Calls)

Want Similar Results for Your Organization?

Schedule a 1-on-1 technical scoping session directly with AI & Data Science Consultant Rohit.

Lead Architect

Rohit - AI Consultant

Rohit

AI & Data Science Consultant

2+ Decades AI Experience

Building neural networks since 2004 at IIT Roorkee (mentored by Dr. Sunil Padhi, HOD Electrical Dept) and Unix CDR automation scripts at Xalted Bengaluru in 2007 (mentored by Srinivas Sir). Specializing in Agentic AI, Enterprise RAG, and MLOps.

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