AI inference is quickly becoming the largest workload computers have ever run; and we believe that it's only going to grow much further. In a supply-constrained market, the scarce skill is not designing a fast chip; it is shipping complete, working systems by the thousands. As Gavin, Rob and Chris like to say, production is the product. Very excited to be partnering with @UbertiGavin, @robertwachen, and @czhu1729 and backing @Etched!

One of the key pillars of the a16z approach is to provide founders with access, power, and resources typically only available to large companies. Today, doing that in the U.S. alone is no longer sufficient. As part of our newly announced a16z global initiatives, we will be helping our Growth companies succeed in this new, global reality. We’ll take the same playbooks and relationship-based approach that have helped our companies in the US and adapt them to international markets. I’m looking forward to working closely with Anne Neuberger in her new role as GP and Head of Global Affairs; Jen Kha and the Global Partnerships team; and our existing go-to-market and talent team, who have been building this foundation for years. More from me here:

Temporal CEO Samar Abbas: “A couple of years ago actually, I said: looks like we have over-engineered on scale. What's the use case where we need this much scale? And then of course, the whole AI agent wave happened." Sometimes you build the right thing too early. Great pod with @SamarAtTemporal: