Slashed monthly cloud LLM API spend by 62% by serving open-weight 70B models on private NVIDIA GPU clusters with PagedAttention.
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.
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.
Cut monthly AI infrastructure bill from $45,000 to $17,100.
Handled 500+ concurrent user requests with zero queue backlog.
Guaranteed total data privacy with zero external network egress.
"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)
Schedule a 1-on-1 technical scoping session directly with AI & Data Science Consultant Rohit.
AI & Data Science Consultant
2+ Decades AI ExperienceBuilding 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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