Видео

So what's the verdict. Have people been able to leverage the compute with private projects they host locally? How much access to your data does the company have?

Lul😂

Great job Cody!

This is super insightful!

do you guys even have clients that use your cloud gpu services?lol

💪🏻💪🏻💪🏻

gordon freeman

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

What an amazing presentation - one of the better videos I have watched. Great breadth and depth.

My machine learning team consists of me baby

These videos are incredibly helpful

What a remarkable video

We just bought two Scalar servers from Lambda. Great company!

Ground level details with all the critical aspects covered nice for GPU Cluster to the last cable length calculation.

Ha, hot 🔥

This guy is smart as fak

Best of the best presentation on server clusters. Author presented deep understanding of server clusters so that he explains things in an easy way. thank you!!!

One of the best presentations on GPU cluster design, even at 3 years old. Great teaching skills!

Is this opensourced?

Hi, do you guys have a roadmap available? thanks

Now build your hq in New Mexico and research teleportation

For anyone experiencing issues, you can get around this by updating the remote version of jupyter notebook and ssh tunneling. Here's a tutorial. ruclips.net/video/ZhVdA2jSCuA/видео.html

Highly appreciated...RUclips should have a separate category called Founder's video.

I want to build a multi dual epyc 7742 based system for goofing around learning this stuff.

And ubuntu 24.04???

Hey Stephen, this is highly informative. I work on this clustering. Now am able to connect the dots and get the bigger picture. where can i read about the relationship between numa topology and GPU peering capability.

Huh. This was around the time of the Google Glass craze. Was this just a fad, one of the early company ventures before you guys switched over to doing GPU machines? Is it in honor of this old project that you ship hats with purchases?

Talk about what ur expert.. don’t talk useless stuff without knowing all facts

Can I use Lambda’s GPU if I’m hosting my app on GCP?

annoying but successful

bro looks like he is gonna be the next big thing in 70s Silicon Valley

Love the style and content of this video.

Looking for work would love to help

Congratulation!!!

Are you building it under a desert in new mexico?

I didn't know Jeffrey damler is being played by Adam driver.

What is your strategy to compete with Nvidia when they launch their own cloud, as has been rumored for a long time now?

Insane hair bro.

super

Any plans for lauching your GPU cloud service in india ??? ssly the market is huge and could definatly use some competetion (and that's coming from a guy who works for Amazon!!) .

Congrats!!!

Congratulations !!!

I would like to award LamdaStack the Medal of SavingMeRidiculousAmountsOfTime. With V Device ;-)

i am using two gpu using and using this command "torchrun --standalone --nproc_per_node=2 run/Train.py --config $1 --verbose --debug" and i have 51k images now when i check log files in slurm i can notice that 51k images are divided in two gpu and i can read logs but i feel that i see two lines same every times from two gpu i am not able to understand why i can see two line same two same from two gpus also i am little concern that does that happend that my model train on only half dataset from any gpu and replace instant after other half, i hope you able to understand my problem

Oh wow this is fantastic.

Your are insane, thank you

This was amazing. Thank you.

Now if only I was a billionaire so I could make use of this great information...

This is bad ass! Love what y’all are doing with making GPU more cost effective.

Most professional and holistic explanation I heard about this topic. Thank you so much!!