Networking Optimizations for Multi-Node Deep ...

In this episode, Scott Clark, co-founder and CEO of Distributional, joins us to explore how teams can reliably operate and improve complex LLM systems and agents in production. Scott introduces a Maslow’s hierarchy of observability: telemetry for logging, monitoring for known sig ...  Show more

In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of inference engineering. We explore why inference has become the stickiest and most critical workload in AI, how it blends GPU programming, applied research, and large ...  Show more

The world is hitting a data tipping point where vast connectivity requires massive network capacity. In this episode of Smart Talks, Malcolm Gladwell talks to David Shacochis, Vice President for Enterprise Technology and Field CTO at Lumen, and Howard Boville, Head of IBM Cloud P ...  Show more

<span style= "font-weight: 400;">Stephanie Wong</span> <span style= "font-weight: 400;">and</span> <span style= "font-weight: 400;">Carter Morgan</span> <span style= "font-weight: 4 ...

Today’s episode is a conversation about four big trends in the tech world. Any one of these trends would be notable on its own, but we cover all four in this hallway-style chat, as a16z General Partner Chris Dixon talks with Sep Kamvar (professor of Media Arts and Sciences at MIT ...  Show more

Autonomous vehicles are one of the most complex AI challenges of our time. The networks running in the car must act as an intricate symphony, requiring intensive training, testing and validation on massive amounts of data to operate safely in the real world. Clément Farabet is th ...  Show more