in case this wasn't already obvious there's a very fine line between this and @petervoell apologies in advance / retrospect
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Mount Thor retweeted
Apple silicon is quietly becoming real AI infra. Agents need Macs. Computer-use RL, macOS sandboxes, long-running agents and cheaper open-model inference on M-series.
I co-led Mount Thor’s first two rounds because nobody was running this at datacenter scale and @petervoell was the right founder to take this on. Six months since founding, we're live with many customers across multiple sites.
If you need Apple silicon at scale for AI workloads, DM me. Happy to intro.
Agentic AI runs best on Apple platforms. Accessing Apple’s hardware at scale has been hard, until now. We’re making macOS and Apple silicon available as elastic compute resources, optimized for AI research & deployment.
We have one of the largest fleets in the world, support the most demanding workloads (massive 512GB M5 Ultra clusters, anyone?), and we’re just getting started.
Wouldn’t be here without @CRV (@brittwalker_), @conviction (@pranavreddy), @chadbyers, @offlineventures (@davemorin), and others (including many inside @Apple) who believed in us early and remain incredible partners. We seek infinite games; the play continues.
blog.mountthor.com/a
Agentic AI runs best on Apple platforms. Accessing Apple’s hardware at scale has been hard, until now. We’re making macOS and Apple silicon available as elastic compute resources, optimized for AI research & deployment.
We have one of the largest fleets in the world, support the most demanding workloads (massive 512GB M5 Ultra clusters, anyone?), and we’re just getting started.
Wouldn’t be here without @CRV (@brittwalker_), @conviction (@pranavreddy), @chadbyers, @offlineventures (@davemorin), and others (including many inside @Apple) who believed in us early and remain incredible partners. We seek infinite games; the play continues.
blog.mountthor.com/a


