2 posts tagged with "gpu"

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.

We're excited to announce that Transformer Lab now supports AMD GPUs! Whether you're on Linux or Windows, you can now harness the power of your AMD hardware to run and train models with Transformer Lab.
👉 Read the full installation guide here

TL;DR​

If you have an AMD GPU and want to do ML work, just follow our guide above and skip a lot of stress.

The journey for us to figure out how to build a reliable PyTorch workspace on AMD was... messy. And we've documented everything below.