RunPod is the ultimate cloud platform designed specifically for AI development, training, and scaling. Whether you're a startup, academic institution, or enterprise, RunPod offers **globally distributed GPU cloud** solutions that let you focus on building AI models without worrying about infrastructure.

What are the features of RunPod?

* **On-Demand GPUs**: Spin up GPUs in seconds with cold-boot times as low as milliseconds. * **Serverless Scaling**: Autoscale ML inference with sub-250ms cold start times. * **Cost-Effective Pricing**: Starting from just **$0.22/hour** for powerful GPUs. * **Global Reach**: Thousands of GPUs across **30+ regions** for seamless deployment. * **Secure & Compliant**: Enterprise-grade security with **SOC2 Type 1 Certification**.

What are the use cases of RunPod?

* **AI Model Training**: Train and fine-tune models on NVIDIA H100s, A100s, or AMD MI300Xs. * **ML Inference**: Scale inference workloads with real-time autoscaling. * **Custom Containers**: Deploy any container, whether public or private, with zero ops overhead.

1. **Spin Up a Pod**: Choose from 50+ preconfigured templates or bring your own container. 2. **Deploy Models**: Use PyTorch, TensorFlow, or any other ML framework. 3. **Monitor & Scale**: Use real-time logs and analytics to manage your workloads.

How fast can I spin up a GPU pod?

You can spin up a GPU pod in **seconds**, with cold-boot times as low as milliseconds.

What GPUs are available?

RunPod offers a wide range of GPUs, including NVIDIA H100, A100, RTX 4090, and AMD MI300X, starting from **$0.22/hour**.

Yes, RunPod is built on enterprise-grade GPUs and has obtained **SOC2 Type 1 Certification**.

RunPod

5.0

18.64%

RunPod is the most cost-effective and scalable cloud platform for AI development, training, and inference, offering global reach and enterprise-grade security.

Added on: 2025.03.01

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