Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.
In today’s Cloud Wars Minute, I explore how Mirendil is using Google Cloud infrastructure to run the AI research loop faster and at greater scale.
Highlights
00:03 — Google Cloud will be providing Mirendil, a new frontier AI lab, with critical infrastructure, with a mix of Google TPUs and NVIDIA GPU infrastructure through its AI Hypercomputer. That’s what Google describes as the agent-native infrastructure powering Google.
00:24 — Mirendil is focused on building AI systems that can accelerate the AI research loop. So, that involves designing experiments, evaluating results, model pre-training, and post-training. It’s AI systems that can ultimately help to speed up and democratize AI research.
00:40 — Now, I want to give you a quote from Behnam Neyshabur, co-founder and CEO of Mirendil, because in it he really explains what the value is of working with this mix of infrastructure. He says, regarding the systems they are building right now, “Expanding on Google Cloud gives us the scale and flexibility to push those systems further…”
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01:04 — “…and put frontier AI research capabilities in the hands of many more scientists and engineers to run that loop faster and at greater scale.” And that’s the real story here. That idea of flexibility, the fact that Mirendil can use TPUs and NVIDIA GPUs, depending on the workload, rather than committing to just one architecture.
01:28 — I think it’s a great example of Google Cloud’s AI infrastructure advantage in this particular use case because it’s giving customers the freedom to use the best tool for each workload and not forcing them to choose between one chip or another. Thank you for watching.
