{"version":"1.0","type":"card","id":"6dfafc98-1808-4339-8410-05d887e14387","url":"https://stacklist.com/card/6dfafc98-1808-4339-8410-05d887e14387","title":"S13 Bonus The Enterprise AI Chip War Rethinking LLM Silicon Inference With Vasanth Mohan Director Of","source_url":"https://www.codestory.co/episodes/s13-bonus-the-enterprise-ai-chip-war-rethinking-llm-silicon-inference-with-vasanth-mohan-director-of-product-at-sambanova/","note":"In this episode, we welcome Vasanth Mohan, Director of Product at SambaNova, to discuss the evolving landscape of AI chips and their impact on large language models (LLMs). The conversation explores the challenges and innovations in silicon inference technology that are shaping the future of enterprise AI.","image":{"url":"https://ucarecdn.com/72e24f05-6430-4220-ad5e-0e00c1d187f3/","alt":"S13 Bonus The Enterprise AI Chip War Rethinking LLM Silicon Inference With Vasanth Mohan Director Of","width":1400,"height":1400},"stack":{"id":"ae330d56-b695-4174-a2ab-055876836635","title":"Code Story S13 Episodes: Web Dev, AI & Tools","url":"https://stacklist.com/c/podcast/stack/ae330d56-b695-4174-a2ab-055876836635"},"created_at":"2026-09-24T13:58:03.969Z","updated_at":null,"aco":{"summary":"Code Story podcast episode featuring Vasanth Mohan from SambaNova discussing enterprise AI chip design and LLM inference optimization. The conversation covers hardware heterogeneity, latency budgets, disaggregated inference, and the economic factors driving enterprise adoption of self-hosted AI infrastructure versus proprietary APIs.","tags":["ai-inference","llm-silicon","enterprise-ai","hardware-optimization","chip-architecture","sambanova","podcast"],"key_entities":[{"name":"Vasanth Mohan","type":"person","confidence":0.95},{"name":"Noah Labhart","type":"person","confidence":0.85},{"name":"SambaNova","type":"organization","confidence":0.98},{"name":"Code Story","type":"organization","confidence":0.95},{"name":"LLM","type":"technology","confidence":0.92},{"name":"GPU","type":"technology","confidence":0.88},{"name":"ASIC","type":"technology","confidence":0.85},{"name":"inference","type":"concept","confidence":0.95},{"name":"disaggregated-inference","type":"concept","confidence":0.88},{"name":"prefill-decode","type":"concept","confidence":0.85}],"classification":"transcript","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-09-24T13:58:12.143Z"},"token_counts":{"approximate":9043,"cl100k":8820},"content_hash":"sha256:4dd73d0dde8cb9de4af5fe033a020dad3a1e76b0bfb0e0caaa905e8c9f894b20","acp_version":"0.2","body_available":true,"body_tokens":9043,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/6dfafc98-1808-4339-8410-05d887e14387.json","html":"https://stacklist.com/card/6dfafc98-1808-4339-8410-05d887e14387","md":"/api/public/card/6dfafc98-1808-4339-8410-05d887e14387.md","stack_json":"/api/public/stack/ae330d56-b695-4174-a2ab-055876836635.json"}}