Lineup for Inside The AI Coding Stack (7/1):
@nvidia β Harry Kim on GPU infra for AI-native workloads
@FriendliAI β Gon Chun on frontier AI inference for agents
@MiniMax_AI β Victor Su-Ortiz on M3 + reasoning
@kilocode β Brian Turcotte on agentic coding in production
Spots are limited! RSVP: https://t.co/1aTn0A0Bf0
I've been advising this company for the last two years and I've been amazed by the caliber of their engineering talents. I mean, their founder @bgchun, invented continuous batching which is the industry-standard technique for optimizing Large Language Model (LLM) inference.
How did a research breakthrough in Seoul jump from the lab to becoming the industry standard for LLM inference?
In this @CerebralValley interview, CEO @bgchun discusses how @FriendliAI improves latency & throughput by 3x while cutting compute costs by 90%.
https://t.co/BUiguJYtjK
We are proud to have been ranked as one of North Americaβs fastest-growing tech companies on the 2021 @Deloitte Technology Fast 500 list. Thank you to our amazing team for driving the continued growth and to Deloitte for recognizing us! Read more πhttps://t.co/XcROPwQjjW
6 Insights for SaaS Sales in 2022:
#1. The classic high volume cadence-based outbound playbook is declining in effectiveness β but you still need to run it.
It still works. Just not nearly as well as a few years back.
Over the last year+ I have partnered with close to 20 founders as an angel and 10+ VC funds as an LP. Iβve learned a ton in the process and gained a whole new perspective on how GPs compete and how founders think about allocating space on their cap tables.