In this article, we will discuss about the best laptop for deep learning and machine learning in 2018.
2 Best Laptop For Deep Learning and Machine Learning
Eluktronics X Pro P650HS G:
Eluktronics Pro-X P650HS-G is a 15.6-inch laptop with excellent quality and weighing 2.7 kg. There are 4 types of laptops but the one with 512 GB SSD + 32GB RAM is best one. This machine is a proposed SSD PCI by Aluminum. You can certainly expect faster performance than SATA SSD. 32 GB is really good to handle any type of extreme work. You get Intel's KB-like processor, i.e. Core i7-7700HQ, which is great for multitasking and the system's thermal management is excellent. The NVIDIA GeForce GTX 1070 with the GPU 8 GB DDR5 VRAM given on this machine. Available on this laptop, the port 2 USB 3.1 is Zen2 port (Type-C), 3 USB 3.0, HDMI, 2 mini-screen port and an SD card reader. During deep learning tasks you can expect maximum battery life on this machine is 2 hours.
Asus ROG GX501 Zephyrus:
You get 144 Hz IPS panel instead of 120 Hz panel. The laptop has been upgraded from General Core i7 to 8th Gen Processor i.e. Intel Core i7-8750H. You get 6 cores on this processor compared to 4 in the old Pro. Asus ROG GX501 Zephyrus has offered Nvidia GTX 1080 graphics card on this powerful machine. You can play many popular games at 95 fps, overwatch at 120 fps, and Destini 2 at high settings. The weight of the laptop is approximately 2.26 kg, which is not heavy, but also not light weight. The port you receive on this laptop is with HDMI 2.0 and USB 3.1 Type C and USB Type C Thunderbolt 3. The battery life slot machine on this laptop is quite standard. You can achieve about 4 hours and 1.5-2 hours of basic or light work or heavy tasks.