Frequently Asked Questions (FAQ)
- Which operating systems are available on Lambda Cloud?
Lambda Cloud V100 & RTX 6000 instances run Ubuntu Server 20.04 LTS while 4-GPU Pascal based instances run 16.04 LTS. Instances are only accessible via SSH or the included Jupyter Notebook. We do not currently support any other operating systems or access via a typical desktop graphical user interface (GUI).
- I'm new to SSH, how do I use the .pem private key?
- How do I upload and download models & data to my instances from my local machine?
Check out our how to guide on transferring data to and from your instance. Please note: If an instance is terminated, all data will be deleted, so it’s important to backup results to either your local machine or external cloud storage.
- How do I shutdown / terminate the instance?
It is recommended to terminate instances using the Lambda Cloud dashboard and will be billed until terminated in the dashboard. Please note: Terminating an instance permanently deletes all data on the instance.
- How do I upload and download models & data to my instances from S3 or Google Cloud Storage?
Check out our how to guide on transferring data to and from your instance. Please note: If an instance is terminated, all data will be deleted, so it’s important to backup results to either your local machine or cloud storage.
- What libraries come preinstalled on Lambda Cloud instances?
Instances come preinstalled with CUDA, Python 3, Julia, Tensorflow, CuArrays, Pytorch, Plots, Flux, and Zygote.
- Can I install my own DL/ML libraries and dependencies?
You can install any library that supports Ubuntu 20.04 or 16.04. Dependencies can be installed using the apt-get command for the Advanced Package Tool (APT) available in Ubuntu.
- Can I use Blender or other rendering programs on Lambda Cloud?
Lambda Cloud instances do not support graphical user interfaces (GUI) and are optimized for deep learning. Using a cloud instance as a remote render farm instance is possible, but it is not a supported use case.
- Can I mine Bitcoin or other cryptocurrency on Lambda Cloud?
Lambda Cloud is intended for deep learning use cases. Mining Bitcoin or other cryptocurrency mining is not allowed.
- Do I lose my data when I terminate my instance?
- I think you might be down. Do you have a status page?
For the latest service outage and maintenance updates please check the Lambda Cloud status page.
- When will I be billed for the instance time that I've used?
We currently bill at the end of the month for all usage from the previous month. You can change the credit card on file anytime under the billing section of the cloud dashboard.
- What countries does Lambda Cloud support?
Lambda Cloud is currently only officially supported in the United States and Canada. We are currently unable to provide dedicated support for users outside of these regions.
- Does Lambda offer credits for students or researchers?
We do not have a formal cloud credit program in place, but we do occasionally offer cloud credits for specific events or projects. Please email us at [email protected] if you are interested in credits for an academic project.
- How do I close my account?
To close your account, navigate to “Settings” in your Lambda GPU Cloud dashboard. After closing your account, you will no longer be able to log in and your data will be lost.
- Does Lambda Cloud support multi-user access?
We do not currently support multi-user access to the dashboard. If you would like to set up different instances for different users, you can attach a unique private key to each new instance. If you would like to have multiple users share a single instance, you can use Ubuntu’s built in multi-user access controls to give each user their own account.
- Where are the Lambda Cloud data centers located?
We have data centers located in San Francisco, CA and Allen, TX.
- What is the configuration of the instances available on Lambda Cloud?
Lambda Cloud V100 & RTX 6000 instances run Ubuntu Server 20.04 LTS while 4-GPU Pascal based instances run 16.04 LTS. They have a number of libraries pre-installed including: CUDA, Python 3, Julia, Tensorflow, CuArrays, Pytorch, Plots, Flux, and Zygote. For different hardware configurations, please refer to the pricing section.
- Can I spin up multiple instances on Lambda Cloud?
Yes, you can spin up multiple instances in the dashboard. However, we do not currently have API support for spinning up instances.
- What are the network speeds available on Lambda Cloud instances?
Depending on the instance type network burst speeds can range from 1 Gbps to 10 Gbps.
- Can I only use a subset of GPUs available on each Lambda instance and pay only for the number of GPUs that I am using?
We currently have instance types with 4 or 8 GPUs. It is not possible to only pay for a partial number of GPUs in an instance.
- How can I perform distributed training on multiple instances on Lambda Cloud?
Distributed training can be performed across multiple instances using a framework like Horovod. We recommend only using the same instance type for each node when clustering instances. The maximum inter-node connectivity is 10 Gbps.
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