Lalitha Madhurima Gayathri Kolluru

Cloud AI Infrastructure engineer

Google

As Large Language Models (LLMs) scale exponentially, the infrastructure required to serve them faces a critical efficiency wall. This session explores how Python serves as the primary control plane for massive AI workloads, demonstrating how a single parameter change in a Python line can optimize underlying serving frameworks like vLLM. We will illustrate how high-level Python code orchestrates complex techniques—such as PagedAttention, quantization, and chunked prefill—translating a simple flag into massive compute and memory savings across thousands of cluster machines, ultimately slashing latency and operational costs.

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AI Builders Global Conference 2026

Oct 14, 2026 – Oct 16, 2026 · Virtual · scheduled

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At this event: Google

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