Partnering with Sail: Agents Without Limits
Sequoia 2 weeks ago 1
Sail is building an inference and agent workspace platform meant to let AI agents run for hours or days instead of waiting for short human prompts.
198 summarised stories about Agent Infrastructure, each linking back to the original source. Browse all topics →
Sequoia 2 weeks ago 1
Sail is building an inference and agent workspace platform meant to let AI agents run for hours or days instead of waiting for short human prompts.
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AI infrastructure is getting a very practical second act today: making agents faster to start, cheaper to run, and easier to govern once they’re running. Daytona, which sells an “agentic cloud” built around VMs for agent “computers,” raised $60 million in a Series B and landed at a $1 billion valuation, targeting 60-millisecond sandbox provisioning—an attempt to knock down the latency tax that makes agents feel sluggish between steps. IBM, Red Hat, and others also pushed llm-d framework 1.0, adding operational controls for in-house distributed inference, including multi-tenant QoS, zero-downtime upgrades, and router behavior measured on an agentic coding test that reportedly captured 97% cache reuse.
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