OpenLake: Fast inference for self improving models (opens ycombinator.com)
OpenLake lets companies deploy, train and serve models that keep improving.
From Y Combinator: This week’s Paper Club is all about inference. For every FLOP spent training a model, roughly six go to serving it each year — and getting that part right has produced over $220 billion in market cap in the last decade. But inference is much more than calling model.forward.
OpenLake lets companies deploy, train and serve models that keep improving.
Blacksmith (YC W24) builds a faster cloud for continuous integration, betting that testing and validation become the bottleneck as AI coding tools generate more code.
A marketplace for AI inference that promises better pricing, latency and capacity.
Critical equipment, without the multi-year wait.
Hopper trains open-weight models on production traces, then serves and improves them against live traffic.
Open-models in the EU, private by default, works with the SDKs and agents you already use.