Incredible price and ease to use. I love the A100! Saved me so much time!
@joshuac9142
Жыл бұрын
THIS IS EXACTLY WHAT I HAVE BEEN LOOKING FOR!
@reasoning9273
2 жыл бұрын
Nice video. Although I think people would appreciate more realistic examples, with tips on optimizing using multiple GPUs, showing that adding more GPUs can save money (reduced training & inference time vs. money spent for multiple GPUs). I think that will justify your GPU options and will attract more people to use lambda cloud. MNIST training is such a poor example for 2xA6000 with 48G VRAM since it doesn't even require any GPU to train MNIST.
@heyna88
Жыл бұрын
Do your own research really. They offer the infrastructure at a crazy low price, I think that's already more than anybody can ask for.
@muhammadbilal902
Жыл бұрын
Though I agree with the point of example being naive, but it's so easy to get all this up and running, we can experiment on our own. Not everything is their job to demonstrate.
@FieldMajor76
9 ай бұрын
This is cool, really excited to learn this field. Self taught
@klevaredrum9501
Жыл бұрын
Can you do a guide on how to upload your files and run them for deep learning?
@chinmayganguly457
20 күн бұрын
Hi. I'm trying to train my U-Net model to do deconvolution after observing before and after deconvolution of 3D microscopic images in .ims format. their resolutions are (32, 2048, 2048). The A100 of colab pro+ isn't enough to run the model for a batch size 16. not only that, i want to enlarge the dataset by introducing augmentations. So can the gpu instances of Lambda handle this task? please let me know asap. im on a deadline for a college project, and at my wit's end
@cw9249
Жыл бұрын
you showed using separate devices for separate jobs, but how do you use all the devices for the same job (training by distributing the batches across the devices, and taking the gradients from each of them together after each backpropagation)?
@abeltekle5827
Жыл бұрын
Great explanation !!!
@Human_Lore
Жыл бұрын
you would hope the ceo has an account haha thanks for the video
@jobiquirobi123
2 жыл бұрын
This was very useful
@ulisesgallardorodriguez1839
Жыл бұрын
Nice prices and options, but I have a complain, I'm from Mexico and my payment method is not supported for my country.
@maurifederi5817
Жыл бұрын
hi waht kind of card do you need i fill before log in?
@parisqs
2 жыл бұрын
How to upload my own dataset? Where is your DC located?
@stephenbalaban7706
2 жыл бұрын
The easiest way is to use our new GPU cloud storage feature. You can then either SCP the data up or use sshfs to set up a bridge between your local drive and the server.
@ayseljafarova9059
Жыл бұрын
is it possible to use this with MacOS?
@manitbhusal1554
Жыл бұрын
How do I reset sudo password in cloud server?
@LinkedInGooner
4 ай бұрын
For anyone experiencing issues, you can get around this by updating the remote version of jupyter notebook and ssh tunneling. Here's a tutorial. kzitem.info/news/bejne/u56MynVoo4V0qHY
@gopaldey
2 жыл бұрын
Is there any way to access the GUI of these instance?
@muhammadbilal902
Жыл бұрын
Jupyter-notebooks aren't enough? CLI will teach more about linux-admin than GUIs xD.
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