RunPod

As organizations increasingly experiment with training and fine-tuning LLMs, hyperscalers such as AWS and Google Cloud can introduce high costs and limited hardware availability. RunPod provides a cost-effective alternative for compute-intensive AI workloads. Operating as a globally distributed GPU marketplace, it offers on-demand access to a wide range of hardware, from enterprise-grade H100 clusters to consumer-grade RTX 4090s, often at significantly lower cost than traditional cloud providers. For teams needing flexible, budget-friendly infrastructure to develop, train or deploy AI models without long-term commitments or vendor lock-in, RunPod is a practical option worth evaluating.