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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Runpod
Runpod

Runpod

Founded 2022

Deploy and scale machine learning models on cloud GPUs

Pricing model

Paid

You can use Runpod to rent cloud GPUs on demand for training, fine-tuning, and deploying artificial intelligence models. It provides persistent virtual machines called Pods, multi-GPU clusters for large distributed training jobs, and serverless compute endpoints for fast inference. You can launch environments with popular GPUs like H100s or RTX 4090s in seconds, connect persistent network storage, and scale worker nodes to zero when idle to save money. It also allows developers to host persistent AI agents and run batch workloads across global data centers.

What Runpod does

Spin up on-demand GPU instances in secondsDeploy autoscaling serverless inference endpointsAttach network storage volumes to share model checkpointsConfigure multi-node GPU clusters for distributed trainingMonitor GPU utilization and server logs in real timeRun containerized batch processing jobs without idle costsSub-200ms cold starts with FlashBoot technologyServerless GPU compute that scales to zero when idleGlobal network volumes for sharing model weights across data centersMore than 30 GPU types including NVIDIA H100, L40S, and RTX 4090Multi-GPU distributed clusters connected with InfiniBand networkingReal-time logs and performance metrics without extra configuration

Pricing breakdown

Pricing model: Paid

PlanList price
Standard$0.10 / mo
Standard$0.20 / mo
Standard$0.07 / mo
Standard$0.05 / mo
Standard$0.14 / mo

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Runpod, cloud GPUs, serverless GPU, AI hosting, model training, fine-tuning, inference endpoints, H100, RTX 4090, GPU clusters, FlashBoot, deep learning compute, Docker containers, AI agent infrastructure, machine learning infrastructure