Runpod
RunPod is a cloud computing platform for AI and machine learning workloads. It offers scalable GPU and CPU resources to train, fine-tune, and deploy models efficiently.
RunPod provides a developer-friendly environment for deploying and managing AI applications, with features designed to streamline workflows and reduce infrastructure overhead.
Key features include:
- Serverless Inference: Deploy AI models as auto-scaling serverless endpoints with sub-250ms cold start times.
- Pods: Run containerized workloads on dedicated GPU or CPU instances, with options for persistent storage and customizable configurations.
- Instant Clusters: Launch multi-GPU clusters that scale from 2 to 64 GPUs with high-speed interconnects, suitable for large model inference and distributed training.
- Flexible Deployment: Support for Docker containers, pre-configured templates, and integration with various container registries.
- Cost Efficiency: Pay-per-second billing with no idle costs, and options to reserve discounted active and flex workers.
- Robust Security: Compliance with SOC2 Type 1, HIPAA, and ISO 27001 standards.
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