10 appearances on the backlist front page in the last 30 days.
GPU sandboxes were already on the Q2 roadmap, but one of our customers pushed us to launch sooner. A couple of weeks ago, they asked for a massive no. of GPUs. I gave them half in the meantime. Now they're looking at a contract for 5x mor
You'll never guess who our #1 competitor is, because it isn't one of the sandbox providers. It's Kubernetes. People see that their agent needs to run code and spin up a K8s pod. Then they start feeling the need to add features that K8s
We're at maybe 20% of what a full "computer for agents" looks like. What agents need that humans already have: - a real composable computer (not one-size-fits-all) - version control built for inner-loop speed - file systems that persist a
As dozens of companies rebrand as sandbox providers, the underlying distinction between real isolated execution environments and adjacent tooling matters for buyers
Early-stage startups should generally be wary of hiring from BigCos. They're optimized for a completely different environment where everything is in order. Clear hierarchies, defined roles, and a reactive culture. Early-stage startups are
Early-stage startups should generally be wary of hiring from BigCos. They're optimized for a completely different environment where everything is in order. Clear hierarchies, defined roles, and a reactive culture. Early-stage startups are
An agent is a piece of software connected to: - a model (or multiple models) - an interface with humans via voice/text - and various tools The human prompts the software, the software pulls in the model, and the model thinks. If the model
AGPL lets enterprises run software internally while preventing cloud providers from offering a closed competing service without sharing their changes
We now have upwards of 500,000 CPUs across our servers. I went to order a block of 100k more. Only one vendor was able to fulfill that order; no other supplier had the scale required for our timeframe. The CPU crisis isn't here yet for mo
GPU providers are sold out for 9–10 months and demand large prepayments, making on-demand AI infrastructure a financing problem as much as a technical one