ThinkPad P-Series: Portable Workstations with NVIDIA Quadro RTX5000 (ThinkPad P53) 

my p53 is the best thing i have ever gotten. ive dropped it down flights of stairs with barely a scratch on it! dual booting was a breeze and it works way better than i could have dreamed!

Plot Twist: Jeff installs Windows to test Flight Sim ✈️

no one: Prof. Heaton: flexing with RGB keyboard xD love your videos

Yes please, a video about having the various drivers and containers

waiting for your dedicated video sir on what to do after installing ubuntu for Datascience distro!

Lenovo P53s Laptop ~ i7-8665U ~ 16Gb ~ 512Gb SSD ~ nVidia P520. This laptop has been perfect for me and still is. It's perfect.

I was wondering if you could make a more detailed video on how to actually utilize the special machine learning hardware (like tensor cores)? From what I can tell, there aren't any videos that show how to make use of this new stuff. Is it already baked into Cuda and popular machine learning frameworks?

Hi jeff, i couldnt find the available options of linux in the preinstalled system. i was placing an order directly on the official website. if there is no way to customise preinstalled linux, is it the way that after linux installed by myself, i download the nvidia drivers as well as wifi drivers?

Could u please do a review on T15G with Xeon?

Quadro 5000 is good but most of us cannot afford this specs... i was searching for different laptops last month for doing some object detection project.. i tred razer blade 15 and Alienware 15 R3 and finally end up keep razer... i feel like RTX is better for deep learning than Quadro which is good for CAD related processing. but Thinkpad has the best keyboard for sure..

i really hope your new videos could also be using windows.. i also expect to have some object detection video with yolo and tensorflow.

Thanks for the latest new.I looked into Thinkpad P series for buying one,but couldn't find one with Ubuntu OS.I think its not yet released.

Would be interesting to see if that famous throttling issue of Lenovo is still present.

I definitely like how the RAM and battery are not soldered to the mobo; that allows upgrading and repair options, which is a big plus. But is the Quadro series GPU a worthwhile card for our purposes? The RTX series cards are much cheaper, from my understanding and nearly as capable for deep learning. Are there any Lenovo laptops that have an RTX card instead of a Quadro? This should make the laptop much more cost-effective. Also, great best practice using Docker for your virtual environment setup. I got so tired of fighting Nvidia drivers in a Conda environment; Docker is a big help for that.

Hey Jeff, comments and questions. First the question... Is a Quadra card a good GPU for Deep Learning? I understood it was more aimed at Professionals in the CAD/CAM and High-End 3D modelling fields and not so much the Machine Learning/Data Science fields? Comments. I love my Lenovo X1 Extreme. It’s GPU is pretty wimpy but that doesn’t bother me because it’s my primary development/testing machine and even if I had a huge gpu in it I wouldn’t want to train a large model and basically lose my computer for hours, days or even weeks. Having a gpu in the laptop is awesome as a development force multiplier but I still rely on (currently) cloud GPUs for any real model building. As far as Lenovo’s higher ended machines one of their best features is the keyboard. I’m more programmer than scientist/researcher, I guess I’m a deep learning developer and spending hours on the X1 keyboard is only possible due to how great it is. Looking forward to the rest of the series and other content. It’s always enjoyable and more often than not I learn at least 1 thing and often more in the vast majority of your videos so keep it coming. I’ve pointed pretty much anyone who asks what is a great beginners channel to watch and yours always comes to mind in my very top recommendations. Another nice thing about the X1 is it’s as light and thin as any high end machine can be. This is a trade off. I went this route because I follow the development workflow above but even still at times I really wish I had a heavier device like a System76 Oryx Pro with a real gpu when there are model generation tasks that are small enough to build in a timely manner but are too big or to time consuming to let me build them locally on my tiny 1050TI gpu. I’m not upset with the limitation as I had my workflow in mind when I bought it but now that I’m stuck at home and not hauling the laptop everywhere I’d probably go the heavy duty route vs the lightweight route for the reasons expressed previously. Ok one more question... Do you have a specific role name for a developer who specializes or who’s job entails mostly working with deep learning models to build products around them or are you using the same titles as you’d use for any task a developer may do? I personally think we’re not highlighting this developer role enough as a lot of jobs are more in this realm than the more research oriented realm. Cheers, Christopher PS. Darn cute dog. :)

What you prefer p53 or P15 with same spec?

Is it to heavy to be as my main laptop to travel amd go out?

Hi, i tried to install fedora on my Quadro RTX5000 (ThinkPad P53) but it wouldnt what could be the problem. only ubuntu can be installed on it . Thanks

Hi Jeff, I searched everywhere for lenovo laptop with preloaded Ubuntu, i couldn't find anywhere. Are they selling it?

where to buy p53 with preinstalled fedora

NVIDIA Quadro RTX5000 This video card has Fermi Architecture. I think it is outdated for using many python libraries like RAPIDS, etc.

But can it run Crysis? 🤔

I have RTX2080 inside the box for 3 months ... Last time I configure tensorflow with GPU on ubuntu I had to format the harddrive 3 times . So Iam looking to be free to lose some days to install the board

I rather like my Lenovo P73 i9 128GB RAM 6TB hard disk "laptop"... except that it gets rather hot.

Maybe you should clarify that it's 12 logical cores and not 12 physical cores.

I have a real dislike to setting up laptops with nvidia gpus along with integrated gpu. Just takes way too much work. Cuda installs, cudnn install, but tf doesnt see it, then try again in a different repository...... driver version -> cuda -> cudnn doesnt match, but I specified the versions...ahhhhhhh ... If Lenovo is doing the work, I would definitely pay for it. I run rtx 5000 in my desktop would like to see how much slower the rtx 5000 in laptop form

I have purchased 4 month before machine is good... but service is very poor and I did not get what they (sale person) promise me... never buy this product in India.