Iterate.ai’s Lifeboat runs up to six times more AI agent sessions per GPU

What happened

today launched Lifeboat, an inference engine for large language model (the kind of AI system trained on text to produce text)s that has confidential computing built in. Lifeboat is seeking to take on a memory problem that agents […] The post Exclusive: Iterate.ai’s Lifeboat runs up to six times more AI agent (AI that carries out multi-step tasks rather than answering one question) sessions per GPU (a chip built for many calculations at once, used for graphics and AI) appeared first on SiliconANGLE .

Lifeboat is seeking to take on a memory problem that agents create at scale. Iterate.ai says the software fits two to six times as many concurrent AI agent sessions on each graphics processing unit.

UPDATED 09:00 EDT / OCTOBER 05 2026 AI Exclusive: Iterate.ai’s Lifeboat runs up to six times more AI agent sessions per GPU by Duncan Riley Enterprise artificial intelligence software company Iterate Studio Inc. A chatbot question usually triggers one model call.

An agent working through a single task can make dozens, and its context window (how much text a model can consider at once) grows with each one, so hundreds of agents on shared hardware fill the key-value cache quickly. Iterate.ai says standard inference engines can stall at four or five long-context requests running at once. Teams that hit that limit tend to buy more GPUs or move the work to per-token cloud services and hand their data to a third party.