Runpod

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• **Flash Python SDK**: Deploy any Python function as a GPU serverless endpoint with a single decorator—no Docker required, with auto-scaling from 0 to N workers. • **Sub-200ms cold starts**: FlashBoot eliminates warm-up latency, enabling production inference without idle cost or warm-up tax. • **30+ GPU SKUs across 31 regions**: From RTX 4090s to H200s and B200s, with per-second billing and multi-node cluster support up to 64+ GPUs. Runpod is a cloud computing platform purpose-built for AI/ML workloads, offering three core products: Pods (dedicated GPU instances for development and long-running jobs), Serverless (auto-scaling inference endpoints billed per second with zero idle cost), and Clusters (multi-node GPU clusters for distributed training). It supports the full AI development lifecycle—from experimentation to production—without requiring platform migrations, and includes real-time monitoring, persistent network storage, and managed orchestration.

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GPU cloud infrastructure for AI/ML

Precio

Pay-per-second pricing across three tiers. Pods start from ~$0.27/hr (RTX A5000) to $5.89/hr (B200). Serverless workers range from $0.69/hr (24GB GPUs) to $8.64/hr (B200). Clusters billed per second; H200 SXM at $4.31/hr, others contact sal

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