Laptop for Machine Learning
- Thread starter pascal
- Start date
I did not try. My focus was upgrading, testing all apps, improving security, and returning to ML tests.
Usually, the laptop is silent under regular office or programming use.
Only when running heavy ML tests that I hear the cooler working.
The Windows 11 Pro upgrade was automatic and smooth.
My subjective perception is that it is a solid OS, marginally faster than Win 10.
My daughter's L340 laptop also had an OS upgrade.
Usually, the laptop is silent under regular office or programming use.
Only when running heavy ML tests that I hear the cooler working.
The Windows 11 Pro upgrade was automatic and smooth.
My subjective perception is that it is a solid OS, marginally faster than Win 10.
My daughter's L340 laptop also had an OS upgrade.
Last edited:
What an unusual name she has
it's a family thing then, preferring laptops. I also prefer laptops over desktop PCs, but maybe that's just me. Most of the people I know who have a PC usually prefer desktop computers. They have some advantages, sure, but the disadvantages don't make up for them and how complete and useful a laptop package can be.
Have you tried running DirectML via WSL. This is what I do on my main machines (laptop i7 2060 and desktop 5900x and 6900XT) both running Win 11.
Waiting for Lenovo BIOS security corrections:
https://arstechnica.com/information...dels-fixed-to-prevent-unremovable-infections/
https://support.lenovo.com/us/en/product_security/LEN-73440#Lenovo Notebook
Maybe my next laptop will be a Dell.
https://arstechnica.com/information...dels-fixed-to-prevent-unremovable-infections/
https://support.lenovo.com/us/en/product_security/LEN-73440#Lenovo Notebook
Maybe my next laptop will be a Dell.
Noticed this joint effort between Lambda and Razer for a ML laptop. Interested to see if the same is done with the Ada architecture.
April 2022
Lambda Teams Up With Razer to Launch the World’s Most Powerful Laptop for Deep Learning (lambdalabs.com)
Hardware
April 2022
Lambda Teams Up With Razer to Launch the World’s Most Powerful Laptop for Deep Learning (lambdalabs.com)
- 15.6” 2560x1440 165Hz display
- NVIDIA RTX 3080 Max-Q GPU with 16GB VRAM
- Intel i7-11800 Processor (8 cores, 2.3GHz to 4.6GHz)
- 64GB DDR4 memory
- 2 TB SSD storage
- Thunderbolt 4, USB 3.2, HDMI 2.1 ports
- Slim 4.4 lb aluminum unibody chassis
- 1080p webcam
- Ubuntu Linux 20.04 LTS (Microsoft Windows dual boot optional)
- Lambda Stack with PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers
- One year of Lambda engineering support
This Razer/Lambda looks very good!
One possibility is have a Personal Cloud - PC
For example, continue to use a fast laptop with some GPU for development and enjoy the flexibility, but for big tests use a PC in LAN as ML server.
It could be a "cheap" PC like:
Intel i5 11400
32 GB RAM
RTX 3060 12GB (this is twice the memory of my laptop GPU have)
1 TB SSD
In general the big bottleneck for ML is the GPU´s RAM size! The bigger the GPU memory the bigger the ML Model it can run/train.
The CPU/Main Memory is for running some Python script driving the GPU computations, which is limited essentially by the GPU RAM size.
Reinforcement Learning and some Embbedings show some signs of CPU dependence. And it could be optimized by changing the language (C/C++ and Julia) and use some multithread, etc...
One possibility is have a Personal Cloud - PC
For example, continue to use a fast laptop with some GPU for development and enjoy the flexibility, but for big tests use a PC in LAN as ML server.
It could be a "cheap" PC like:
Intel i5 11400
32 GB RAM
RTX 3060 12GB (this is twice the memory of my laptop GPU have)
1 TB SSD
In general the big bottleneck for ML is the GPU´s RAM size! The bigger the GPU memory the bigger the ML Model it can run/train.
The CPU/Main Memory is for running some Python script driving the GPU computations, which is limited essentially by the GPU RAM size.
Reinforcement Learning and some Embbedings show some signs of CPU dependence. And it could be optimized by changing the language (C/C++ and Julia) and use some multithread, etc...
My impressions after two years of using the laptop: it works great as a multiple-purpose PC.
Wish list for a future upgrade (ascending order of priority): better display colors, lighter weight, less heat, and more GPU memory.
Also, it will be hard to find a gamer laptop upgrade with 2.5" slot available.
Wish list for a future upgrade (ascending order of priority): better display colors, lighter weight, less heat, and more GPU memory.
Also, it will be hard to find a gamer laptop upgrade with 2.5" slot available.
