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RunPod

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About

RunPod is a cloud platform that provides GPU instances for AI/ML workloads. It offers various options like Secure Cloud and Community Cloud, On-Demand and Spot Pods. Users can deploy any container and scale ML inference with serverless options. RunPod also offers network storage and autoscaling features.

Platform
Web
Keywords
aicloudserverlessmlgpu
Task
cloud computing

Features

serverless gpu

network storage

gpu cloud

secure cloud

spot pods

on-demand pods

community cloud

pods

FAQs

Secure Cloud vs Community Cloud

RunPod provides two cloud computing services: Secure Cloud and Community Cloud.

On-Demand vs. Spot Pod

On-Demand Pods can run forever without interruptions with resources dedicated to your Pod. They do incur higher costs than Spot Pods.

Where can I go for help?

We'd be happy to help! Join our community on Discord, message us in our support chat, or email us at help@runpod.io.

What is an On-Demand instance?

On-Demand instances are for non-interruptible workloads. You pay the On-Demand price and cannot be displaced by other users if you have funds to keep your Pod running.

What is a Spot instance?

A Spot instance is an interruptible instance that can generally be rented much cheaper than an On-Demand one. Spot instances are great for stateless workloads like an API or for workloads you can periodically save to a volume disk.

What is a Savings Plan?

Savings Plans are a way for you to pay up-front and get a discount for it. This is great for when you know you will need prolonged access to compute. You can learn more on the about Savings Plans here

Is my data protected from other clients?

Yes. Your data is run in a multi-tenant environment where other clients can't access your pod. For sensitive workloads requiring the best security, please use Secure Cloud.

Is my data protected from the host of the machine my Pod is running on?

Data privacy is important to us at RunPod. Our Terms of Service prohibit hosts from trying to inspect your Pod data or usage patterns in any way. If you want the highest level of security, use Secure Cloud.

What can I do in a RunPod Pod?

You can run any Docker container available on any publicly reachable container registry. If you are not well versed in containers, we recommend sticking with the default run templates like our RunPod PyTorch template. However, if you know what you are doing, you can do a lot more!

What if it says that my spending limit has been exceeded?

We implement a spending limit for newer accounts that will grow over time. This is because we have found that sometimes scammers try to interfere with the natural workings of the platform.

Do you have some legal stuff I can look at?

Sure, do! Take a look at our legal page

Is RunPod compliant with GDPR for data processed in Europe?

Yes, RunPod is fully compliant with the General Data Protection Regulation (GDPR) requirements for any data processed within our European data center regions.

Pricing Plans

Secure Cloud
$2.79 / per hour

H100 NVL

94GB VRAM

94GB RAM

16 vCPUs

Community Cloud
$2.59 / per hour

H100 NVL

94GB VRAM

94GB RAM

16 vCPUs

Secure Cloud
$3.99 / per hour

H200 SXM

141GB VRAM

Community Cloud
$3.59 / per hour

H200 SXM

141GB VRAM

Secure Cloud
$2.39 / per hour

H100 PCIe

80GB VRAM

188GB RAM

16 vCPUs

Community Cloud
$1.99 / per hour

H100 PCIe

80GB VRAM

188GB RAM

16 vCPUs

Secure Cloud
$2.99 / per hour

H100 SXM

80GB VRAM

125GB RAM

16 vCPUs

Community Cloud
$2.69 / per hour

H100 SXM

80GB VRAM

125GB RAM

16 vCPUs

Secure Cloud
$1.64 / per hour

A100 PCIe

80GB VRAM

117GB RAM

8 vCPUs

Community Cloud
$1.19 / per hour

A100 PCIe

80GB VRAM

117GB RAM

8 vCPUs

Secure Cloud
$1.89 / per hour

A100 SXM

80GB VRAM

125GB RAM

16 vCPUs

Secure Cloud
$0.44 / per hour

A40

48GB VRAM

50GB RAM

9 vCPUs

Secure Cloud
$0.99 / per hour

L40

48GB VRAM

94GB RAM

8 vCPUs

Secure Cloud
$0.86 / per hour

L40S

48GB VRAM

62GB RAM

12 vCPUs

Community Cloud
$0.79 / per hour

L40S

48GB VRAM

62GB RAM

12 vCPUs

Secure Cloud
$0.49 / per hour

RTX A6000

48GB VRAM

50GB RAM

8 vCPUs

Community Cloud
$0.33 / per hour

RTX A6000

48GB VRAM

50GB RAM

8 vCPUs

Secure Cloud
$0.77 / per hour

RTX 6000 Ada

48GB VRAM

62GB RAM

14 vCPUs

Community Cloud
$0.74 / per hour

RTX 6000 Ada

48GB VRAM

62GB RAM

14 vCPUs

Secure Cloud
$0.29 / per hour

RTX A5000

24GB VRAM

25GB RAM

3 vCPUs

Community Cloud
$0.16 / per hour

RTX A5000

24GB VRAM

25GB RAM

3 vCPUs

Secure Cloud
$0.69 / per hour

RTX 4090

24GB VRAM

31GB RAM

6 vCPUs

Community Cloud
$0.34 / per hour

RTX 4090

24GB VRAM

31GB RAM

6 vCPUs

Secure Cloud
$0.43 / per hour

RTX 3090

24GB VRAM

24GB RAM

4 vCPUs

Community Cloud
$0.22 / per hour

RTX 3090

24GB VRAM

24GB RAM

4 vCPUs

Community Cloud
$0.27 / per hour

RTX 3090 Ti

24GB VRAM

Community Cloud
$0.22 / per hour

A30

24GB VRAM

31GB RAM

8 vCPUs

Secure Cloud
$0.43 / per hour

L4

24GB VRAM

50GB RAM

12 vCPUs

Secure Cloud
$0.34 / per hour

RTX A4500

20GB VRAM

31GB RAM

8 vCPUs

Community Cloud
$0.19 / per hour

RTX A4500

20GB VRAM

31GB RAM

8 vCPUs

Secure Cloud
$0.38 / per hour

RTX 4000 Ada

20GB VRAM

31GB RAM

4 vCPUs

Community Cloud
$0.20 / per hour

RTX 4000 Ada

20GB VRAM

31GB RAM

4 vCPUs

Secure Cloud
$0.32 / per hour

RTX A4000

16GB VRAM

24GB RAM

5 vCPUs

Community Cloud
$0.17 / per hour

RTX A4000

16GB VRAM

24GB RAM

5 vCPUs

Community Cloud
$0.19 / per hour

Tesla V100

16GB VRAM

43GB RAM

4 vCPUs

Secure Cloud
$0.28 / per hour

RTX 2000 Ada

16GB VRAM

31GB RAM

6 vCPUs

Community Cloud
$0.17 / per hour

RTX 3080

10GB VRAM

30GB RAM

7 vCPUs

Pod Storage
$0.10 / per month

Volume

Running Pods

Pod Storage
$0.10 / per month

Container Disk

Running Pods

Pod Storage
$0.20 / per month

Volume

Idle Pods

Pod Storage
$0.20 / per month

Container Disk

Idle Pods

Network Volume
$0.07 / per month

Under 1TB

Network Volume
$0.05 / per month

Over 1TB

Flex
$0.00 / per SecondHour

141 GB

H200

Active
$0.00 / per SecondHour

141 GB

H200

Flex
$0.00 / per SecondHour

80 GB

A100

Active
$0.00 / per SecondHour

80 GB

A100

Flex
$0.00 / per SecondHour

80 GB

H100

Active
$0.00 / per SecondHour

80 GB

H100

Flex
$0.00 / per SecondHour

48 GB

A6000, A40

Active
$0.00 / per SecondHour

48 GB

A6000, A40

Flex
$0.00 / per SecondHour

48 GB

L40, L40S, 6000 Ada

Active
$0.00 / per SecondHour

48 GB

L40, L40S, 6000 Ada

Flex
$0.00 / per SecondHour

24 GB

L4, A5000, 3090

Active
$0.00 / per SecondHour

24 GB

L4, A5000, 3090

Flex
$0.00 / per SecondHour

24 GB

4090

Active
$0.00 / per SecondHour

24 GB

4090

Flex
$0.00 / per SecondHour

16 GB

A4000, A4500, RTX 4000

Active
$0.00 / per SecondHour

16 GB

A4000, A4500, RTX 4000

Job Opportunities

RunPod favicon
RunPod

Cloud Software Engineer

RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.

engineeringremoteUSA
$150,000 - $200,000
full-time

Benefits:

  • Stock options

  • The flexibility of remote work with an inclusive, collaborative team.

  • An opportunity to grow with a company that values innovation and user-centric design.

  • Generous vacation policy to ensure work-life harmony and well-being.

  • Contribute to a company with a global impact based in the US, Canada, and Europe.

Education Requirements:

  • Bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent experience.

Experience Requirements:

  • 3+ years of professional experience in software development, with experience in Go.

  • Strong understanding of the Go programming language and its ecosystem.

  • Strong problem-solving skills and ability to work in a collaborative environment.

  • Excellent communication skills and attention to detail.

  • Successful completion of a background check

Responsibilities:

  • Design, develop, and maintain cloud infrastructure software, primarily in Go.

  • Collaborate with managers and other engineers to define and implement product requirements.

  • Troubleshoot and optimize existing code to improve performance and reliability.

  • Participate in code reviews and contribute to the team's technical standards.

  • Contribute to architectural discussions and decisions.

Show more details

Forward Deployed Engineer

RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.

Benefits:

  • Stock options

  • Commission opportunity

  • The flexibility of remote work with an inclusive, collaborative team.

  • An opportunity to grow with a company that values innovation and user-centric design.

  • Generous vacation policy to ensure work-life harmony and well-being.

Experience Requirements:

  • Proficient in deploying and managing AI/ML models as service, with a strong understanding of training, fine-tuning, inference, and deployment.

  • 3+ years of software development experience in JavaScript, Go (Golang), or Python.

  • Strong problem-solving skills and ability to work in a collaborative environment.

  • Excellent communication skills and attention to detail.

  • Successful completion of a background check

Responsibilities:

  • Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in RunPod’s products or services.

  • Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds.

  • Communicate effectively with customers and internal teams, including engineering, sales, and product management teams, to ensure customer satisfaction and integrate valuable feedback.

  • Participate in sales meetings with customers, explain RunPod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers.

  • Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues.

Show more details

Security Engineer

RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.

Benefits:

  • Stock options

  • The flexibility of remote work with an inclusive, collaborative team.

  • An opportunity to grow with a company that values innovation and user-centric design.

  • Generous vacation policy to ensure work-life harmony and well-being.

  • Contribute to a company with a global impact based in the US, Canada, and Europe.

Education Requirements:

  • Bachelor's degree in Computer Science, Cybersecurity, or a related field

Experience Requirements:

  • 5+ years of experience in information security roles, with a focus on cloud security

  • Strong programming skills in at least one language (ideally, Python, Go, or C)

  • Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization

  • Deep understanding of workload/network isolation techniques in multitenant cloud environments

  • Experience securing and hardening cloud infrastructure, particularly in environments with untrusted workloads

Responsibilities:

  • Design and implement secure architectures for RunPod's multitenant GPU cloud platform, ensuring strong isolation between customer workloads

  • Conduct thorough security assessments, including threat modeling, code reviews, and penetration testing of our cloud infrastructure and services

  • Develop and implement security fixes and improvements in collaboration with software engineering teams

  • Implement and manage security tools and systems (e.g., SIEM, WAF, EDR)

  • Create and maintain security documentation, including policies, procedures, and technical guidelines specific to GPU cloud security

Show more details

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