Runpod
Cloud GPUs and serverless infrastructure for AI workloads
Rent GPUs, fine-tune models, and serve AI through one platform

EcoHash combines on-demand GPU infrastructure with hosted AI inference. Developers can rent NVIDIA RTX Pro 6000 instances for model experiments, fine-tuning, dedicated inference, or 3D rendering, with root access, browser terminals, and shared storage for their work. The platform also provides an OpenAI-compatible API for calling supported text, vision, image, and speech models without managing a GPU instance.
For custom workloads, teams can upload and validate training datasets, run LoRA or QLoRA fine-tuning, and deploy models to dedicated endpoints. Multi-GPU configurations and reserved nodes support larger jobs. EcoHash suits builders who want to move between a shared model API and infrastructure they configure themselves as a project develops.
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