Era Context & Historical Background
To address skyrocketing commercial API costs and data privacy constraints, Rohit engineered self-hosted open-weight LLM inference clusters on dedicated NVIDIA GPUs using vLLM.
Key Technical Breakthroughs & Architecture
PagedAttention Memory Management
Implemented vLLM PagedAttention, eliminating KV-cache memory fragmentation and boosting token concurrency by 4x.
Multi-GPU Tensor Parallelism
Orchestrated Llama 3 70B open-weight models across 4x NVIDIA A100 GPUs via NVLink high-speed interconnects.
Private Cloud Air-Gapping
Guaranteed 100% data privacy and compliance by serving all inference locally within private cloud boundaries.
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Author & Architect
Rohit
AI & Data Science Consultant
2+ Decades AI ExperienceFirst project in AI & ANN in 2004 at IIT Roorkee under the mentorship of Dr. Sunil Padhi (HOD, Electrical Department), writing neural network backpropagation in C language to predict solar sunspots. Today designing stateful Agentic AI networks at rcode.in.
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