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RunPod

Website LinkedIn

Last updated on

Company health

Employee growth
166% increase in the last year
Web traffic
2% increase in the last quarter
Financing
February 2024 - $22M

Ratings

G2
4.7/5
(7)
TrustPilot
3.3/5
(42)

RunPod description

RunPod is a cloud computing service that makes it easier and cheaper for businesses to use the powerful computers needed for artificial intelligence (AI). Think of it like renting high-performance computers on-demand, instead of buying and maintaining them yourself. RunPod offers different types of these computers, focusing on the ones best suited for AI tasks. They also make it easy to scale up or down depending on your needs, so you only pay for what you use. This is particularly helpful for tasks like "AI inference" where you use a trained AI model, and "AI training" where you build your own AI.


Who is RunPod best for

RunPod offers on-demand, scalable GPU computing for AI/ML tasks, eliminating the need for costly hardware. Users praise its ease of use and competitive pricing, but some have noted long wait times for resources. It's ideal for organizations of all sizes needing flexible and affordable GPU solutions.

  • Ideal for startups, SMBs, and large enterprises leveraging AI/ML.

  • Best for Education and Software/IT/Telecom, but adaptable to various sectors.


RunPod features

Supported

Offers on-demand rental of high-performance GPUs, eliminating the need for upfront investment and ongoing maintenance.

Supported

Offers a selection of specialized hardware tailored for various AI workloads.

Supported

Enables easy scaling of computing resources to match demand, ensuring cost-efficiency.

Supported

Facilitates both training new AI models and using existing ones for inference.

Supported

Provides ready-to-use templates for popular frameworks like PyTorch and TensorFlow, simplifying setup.

Supported

Supports deployment of custom containers, offering flexibility for specific environment requirements.

Supported

Offers a range of GPUs from NVIDIA and AMD to suit various performance and budget needs.


RunPod reviews

We've summarised 49 RunPod reviews (RunPod TrustPilot reviews and RunPod G2 reviews) and summarised the main points below.

Pros of RunPod
  • Easy to use interface
  • Competitive pricing
  • Wide range of GPUs available
  • Fast deployment times
  • Responsive and helpful support team (direct interaction with developers)
Cons of RunPod
  • Long wait times to get GPU resources
  • Lack of Docker support
  • Poor documentation
  • Community Discord channel support is unhelpful and unprofessional
  • No live chat support

RunPod pricing

The commentary is based on 15 reviews from RunPod G2 reviews and RunPod TrustPilot reviews.

RunPod offers GPU cloud, storage, and serverless computing services. GPUs are billed by the minute, with no ingress/egress fees. Storage options include pod storage (volume and container disk) and persistent network storage. Serverless computing offers flex and active worker options with per-second pricing.

Users sentiment

Strongly negative
-1

See the RunPod pricing page.


RunPod alternatives

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    AWS Trainium
    Custom machine learning chip for fast, cost-effective model training.
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  • Logo of ClearML
    ClearML
    Effortless MLOps: Automate, track, and deploy AI models with ease.
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  • Logo of Google Cloud AI Infrastructure
    Google Cloud AI Infrastructure
    Powerful AI building blocks for training and deploying models.
    Read more
  • Logo of NGC
    NGC
    GPU-optimized AI software, simplifying complex model building and deployment.
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  • Logo of Vultr
    Vultr
    High-performance cloud servers, simple to use, surprisingly affordable.
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RunPod FAQ

  • What is RunPod and what does RunPod do?

    RunPod is a cloud platform providing affordable and accessible GPU computing for AI tasks. It offers on-demand, scalable infrastructure specialized for AI training and inference, with various GPU options and easy-to-use templates. Users appreciate its interface and pricing but have noted concerns about resource wait times and documentation.

  • How does RunPod integrate with other tools?

    RunPod integrates with Docker for custom container deployments, and offers pre-built templates for popular AI frameworks like PyTorch and TensorFlow. This streamlines setup and allows flexibility for specific environment requirements. More details on specific integrations are limited.

  • What the main competitors of RunPod?

    RunPod's main competitors include Wiro, Microsoft Azure, and other cloud-based AI platforms like LityxIQ, aureo.io, and FinetuneDB. These alternatives offer similar services like GPU rental and AI model development tools.

  • Is RunPod legit?

    Yes, RunPod is a legitimate cloud computing service specializing in AI infrastructure. Users appreciate its user-friendly interface, competitive pricing, and diverse GPU options. However, potential users should be aware of reported issues with resource wait times and community support.

  • How much does RunPod cost?

    RunPod pricing for cloud GPUs starts from $0.17/hour, varying by GPU type. They offer a range of Nvidia and AMD GPUs to suit various AI workloads and budgets. For persistent storage, pricing is monthly, and serverless options are billed per second. Longer-term use and larger storage needs can benefit from volume discounts.

  • Is RunPod customer service good?

    RunPod's customer service receives mixed reviews. While some users praise the responsive and helpful support team, particularly direct interaction with developers, others express frustration with long wait times for resources and unhelpful community Discord support. There is a notable absence of live chat for immediate assistance.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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