2 posts tagged with "cloud"

Transformer Lab now has built-in support for dstack. If your lab has GPUs scattered across clouds, on-prem boxes, or a mix of both, this improves how you run jobs.

For many looking to experiment with machine learning, the biggest barrier to entry is access to hardware. GPUs are expensive, hard to find, and even harder to share across a team. Big cloud hosting providers have complex interfaces, pricing models, and try to lock you into their ecosystem and tooling.

Using Runpod with Transformer Lab changes that. Now you can spin up GPU-backed experiments quickly from the comfort of your own system.