Suman Debnath
Director, Developer Experience and Product at Crusoe
Suman Debnath is the Director of Developer Relations and Product at Crusoe, where he focuses on AI infrastructure and managed inference. Prior to joining Crusoe, he served as a Technical Lead and Principal Developer Advocate (ML) at Anyscale and AWS, where he worked closely with developer communities to advance the adoption of machine learning at scale. With deep expertise spanning distributed systems, deep learning, and natural language processing, Suman is passionate about bridging the gap between cutting-edge AI research and practical, production-ready solutions. He is a frequent speaker at industry conferences and an active contributor to the broader ML and developer community.
Talks
Data Con LA 2026
Decentralized AI: Safer, Faster, and Greener
As AI systems move from centralized clouds into personal devices, edge compute, and distributed networks, a pivotal question follows: can decentralization make AI not just more powerful, but safer, faster, and greener? Builders of personal, self-hosted AI, climate-tech and product leaders, and sustainable AI infrastructure experts examine the concrete patterns, from personal AI servers and embodied agents that keep data local, to AI-powered climate platforms, to low-carbon GPU clouds powering sovereign AI stacks, and what it takes to align incentives, protocols, and infrastructure with privacy, resilience, and sustainability.
https://youtu.be/PcgRVGy4AG4The Physics of LLM Inference: From First Principles to Cluster Scale
Why latency spikes the moment concurrent users hit an endpoint, and how continuous batching, PagedAttention, and distributed serving keep throughput high, with live demos of Managed Inference and fine-tune-to-deploy workflows on Crusoe Cloud. We will also dive into Crusoe MemoryAlloy, which reinvents KV caching for cluster-scale inference.
https://youtu.be/qsGOKdJURT4Data Con LA 2024
Discover how to implement multimodal Retrieval-Augmented Generation (RAG) using Amazon Bedrock to unify text, image, and video search. Learn practical AI solutions that solve real-world challenges like document analysis and image/video content retrieval.
Data Con LA 2022
Building a serverless data processing pipeline with PySpark on cloud