Unsupervised Learning with Jacob Effron · Ep 94: Applied Compute CEO on the Limits of RL, the New AI Hyperscaler & Why Post-Training Wins Inference
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
deploy a VLM inference engine on GPUs behind an open router to create a production inference offering
“Jev is a router… as I have text, route to the right tool, and then if I can infer from the text, the job to do in the tool, I might as well infer that and route as far down the user journey as I can.”
“The Bedrock team rebuilt your inference engine with six engineers in 76 days, and that would have taken 40 people a year”
“I’ve been champing at the bit for weeks… inference without GPUs… this opens an entire new world… Apple’s camera can tell you what’s going on without sending anything outside of itself”
“We think there's a new AI hyperscaler to be built… inference engine… a lot of stuff in that software layer… we want to be very horizontal”
The strongest new moments on your topics, in the speakers' own words. Free for three topics.
No card. No password. One-click unsubscribe.
Pro watches up to 25 names or phrases and emails you the morning after they are said.
See Pro, $29 a monthVerbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.