What is RunPod?
RunPod is a cloud platform built for AI, providing a globally distributed GPU cloud for AI workloads. It allows users to deploy any GPU workload seamlessly, focusing less on infrastructure and more on running ML models.
Features of RunPod
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Globally Distributed GPU Cloud: RunPod offers a globally distributed GPU cloud for AI workloads, allowing users to deploy any GPU workload seamlessly.
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Serverless: RunPod provides a serverless platform for scaling ML inference, allowing users to scale from 0 to 100s of GPU workers in seconds.
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Autoscale: RunPod's serverless GPU workers scale from 0 to n with 8+ regions distributed globally, and users only pay when their endpoint receives and processes a request.
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Bring Your Own Container: RunPod allows users to deploy any container on their AI cloud, supporting public and private image repositories.
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Zero Ops Overhead: RunPod handles all operational aspects of infrastructure, from deploying to scaling, allowing users to focus on their models.
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Network Storage: RunPod's serverless workers can access network storage volume backed by NVMe SSD with up to 100Gbps network throughput.
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Easy-to-use CLI: RunPod provides a CLI tool for automatically hot reloading local changes while developing and deploying on Serverless.
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Secure & Compliant: RunPod AI Cloud is built on enterprise-grade GPUs with world-class compliance and security.
How to Use RunPod
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Choose a Template: RunPod offers 50+ templates ready out-of-the-box, or users can bring their own custom container.
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Deploy: Users can deploy any container on RunPod's AI cloud, configuring their environment as needed.
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Autoscale: RunPod's serverless GPU workers scale from 0 to n with 8+ regions distributed globally, and users only pay when their endpoint receives and processes a request.
Pricing
RunPod offers various pricing plans, including:
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Secure Cloud: Starting at $2.69/hr for H100 PCIe with 80GB VRAM, 188GB RAM, and 16 vCPUs.
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Community Cloud: Starting at $1.19/hr for A100 PCIe with 80GB VRAM, 83GB RAM, and 8 vCPUs.
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Serverless: Pricing varies based on usage, with a minimum of $0.05/GB/month for network storage.
Helpful Tips
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Use Autoscale: RunPod's serverless GPU workers scale from 0 to n with 8+ regions distributed globally, allowing users to scale their ML inference while keeping costs low.
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Choose the Right Template: RunPod offers 50+ templates ready out-of-the-box, or users can bring their own custom container to configure their environment as needed.
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Monitor Usage: RunPod provides real-time usage analytics for endpoints, allowing users to monitor their usage and adjust their scaling as needed.
Frequently Asked Questions
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What is RunPod?: RunPod is a cloud platform built for AI, providing a globally distributed GPU cloud for AI workloads.
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How does RunPod's autoscale work?: RunPod's serverless GPU workers scale from 0 to n with 8+ regions distributed globally, and users only pay when their endpoint receives and processes a request.
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What is the minimum pricing for RunPod's serverless plan?: The minimum pricing for RunPod's serverless plan is $0.05/GB/month for network storage.
