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GPU по запросу

  • RunPod is a cloud platform for AI development and scaling.
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    What is RunPod?
    RunPod is a globally distributed GPU cloud computing service designed for developing, training, and scaling AI models. It provides a comprehensive platform with on-demand GPUs, serverless computing options, and a full software management stack to ensure seamless AI application deployment. Ideal for AI practitioners, RunPod's infrastructure handles everything from deployment to scaling, making it the backbone for successful AI/ML projects.
    RunPod Core Features
    • On-demand GPU resources
    • Serverless computing
    • Full software management platform
    • Scalable infrastructure
    RunPod Pro & Cons

    The Cons

    No clear indication of open-source availability or SDKs for customization.
    Potential dependency on cloud infrastructure which may pose vendor lock-in risks.
    Limited explicit details on pricing tiers or cost structure on the main page.
    No direct links to mobile or browser applications, limiting accessibility options.

    The Pros

    Instant deployment of GPU-enabled environments in under a minute.
    Autoscale GPU workers from zero to thousands instantly to meet demand.
    Persistent and S3-compatible storage with zero ingress/egress fees.
    Global deployment with low-latency and 99.9% uptime SLA.
    Supports a wide range of AI workloads including inference, fine-tuning, agents, and compute-heavy tasks.
    Reduces infrastructure complexity allowing users to focus on building AI applications.
    RunPod Pricing
    Has free planYES
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyPer second

    Details of Pricing Plan

    Community Cloud

    0 USD
    • Access to various GPUs including H200 SXM, B200, H100 NVL, H100 PCIe, H100 SXM, A100 PCIe, A100 SXM, L40S, RTX 6000 Ada, A40, L40, RTX A6000, RTX 5090, L4, RTX 3090, RTX 4090, RTX A5000
    • Pay-per-second pricing starting from $0.00011

    Serverless Pricing

    0.4 USD
    • Cost effective for every inference workload
    • Different GPUs with pricing per hour and per second
    • Save 15% over other serverless cloud providers on flex workers
    • Example GPU prices per hour: Flex active $4.18, H100 $2.72, A100 $1.9, L40 $1.22, A6000 $1.1, 4090 $0.69, L4 $0.58
    For the latest prices, please visit: https://runpod.io/pricing
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