Use cases
The right compute for the job.
What matters, what to ask providers and what to avoid, for the most common GPU workloads.
Training large models
Multi-GPU and multi-node runs that take days or weeks.
Read the guide →Serving models (inference)
Low-latency, always-on serving for real users.
Read the guide →Fine-tuning
Adapting an existing model with far less compute.
Read the guide →Image and video generation
Diffusion and generative media workloads.
Read the guide →Scientific and HPC workloads
Simulation, modelling and research computing.
Read the guide →