AI Roundup: Best High-speed Laptops for AI Machine Learning Programming
If you are looking for high-speed laptops, this article will help you make the correct decision.
Best high-speed laptops have flooded the market. These are mostly used for highly advanced purposes such as ones related to big data analysis, remote data management, and gaming development. The one domain that many people are now focusing on while buying high-speed laptops is AI and Machine learning processing and Deep Learning programming. During the lockdown, we witnessed a wide-scale enrolment in online AI and machine learning programming courses. A large number of professionals and students found out (in a rather shocking experience) that working with conventional laptops wouldn’t help with the AI machine learning workflows, even if it means just for testing and tutorial purposes.
Buying a laptop is one of the most exciting activities for any working professional. However, this excitement could quickly turn into a nightmare if you decide to buy a laptop that doesn’t quickly fulfill your needs and demands.
When you are buying a laptop for any purpose, you have to consider a lot of things. This leaves you in confusion. Sometimes you get confused about what you should buy. If buying a regular laptop puts you in so much confusion, think how tedious it would be to buy a laptop for machine learning.
But before we tell you the top high-speed laptops, let’s identify the top in-built qualities of the best high-speed laptops purposefully designed for AI and machine learning workflows and functions.
Weight and Processing Power
Best high-speed laptops are usually heavier than traditional gadgets that are used for computing and programming. The range of weight of AI-focused laptops is between 5 and 9 pounds, and sticking to this range ensures that the gadget is easy to carry and port to remote locations whenever required.
What is RAM? Well, RAM is a computer’s short-term memory unit that accelerates the processing speed of any laptop. Experts working with AI projects prefer to carry out their testing and simulations on the best high-speed laptops that have RAM capacity larger than 8 GB. Computers with 32 GB RAM work best for any kind of AI ML project, and hence largely preferred as a top-selling unit.
CPU / Processor
There are two bits to manage the processing speed of AI laptops. One is of course the CPU capacity, and the other is GPU configuration. Experts recommend any CPU from the i7 family and upward would do it for you. If you intend to expand on CPU processing by transferring data to GPU or storage device, then you should also opt for a CPU processor that comes with at least 4 PCIe lanes.
While most buyers ignore the importance of GPUs for mundane tasks, it is an important criterion while selecting a gadget for deep learning and AI ML programming. A good GPU framework would free up your space for CPU tasks. Simply put, you will get better performance if you use an upgraded laptop with the best configuration of CPU + GPU.
Consumer GPUs and data center-grade GPUs are available in the market, and you can modify any laptop with these GPU architectures for max performance. NVIDIA Titan V, NVIDIA Tesla, Google, and ASUS are powerful GPUs that you can choose from.
Our interactions with AI teams have led us to conclude that any AI-focused gadget requires reliable data storage capability. Any internal or external HDD with 400 GB or above storage works best for an interrupted AI Machine learning programming project. Imagine the kind of agony it would cause to you if you have everything in place, except reliable data storage unit. The best options in this category are:
- Seagate BarraCuda / Seagate FireCuda
- Western Digital Blue/ Western Digital Black
- Toshiba X300 / N300
- Seagate Exos X16
- AMD Radeon (for Mac’s GPU)
Pricing is a very important aspect of your buying decision when it comes to AI laptops. Let’s evaluate the top AI laptops for AI and machine learning programming.
Based on the above filter set, we bring you the top high-speed laptops for AI and deep learning programming.
|Item Number||Product Name||Brand Name||OS||CPU||Graphics||Memory||Weight||Price|
|1||MSI P75 Creator-469 17.3″||MSI||Windows 10 Pro||Intel Core i9-9880h 2.4 – 5.0GHz||NVIDIA GeForce RTX2070 (Max-Q) 8G GDDR6||32GB (16G*2) DDR4 2400MHz 2 Sockets; Max Memory 32GB||8.58 lbs||Between $3000 USD and $5000 USD|
|2||MSI GE76 Raider 17.3″||MSI||Windows 10 Pro||11th Gen. Intel Core i9 processor,||NVIDIA RTX 3080||32 GB, DDR4 SDRAM||6.39 lbs||Above $3500 USD|
|3||Lambda TensorBook||Lambda||Ubuntu 20.04 / Windows 10 Pro/ Pre-installed with TensorFlow, PyTorch, CUDA, cuDNN||2.3GHz Intel Core i7-10875H||8GB NVIDIA GeForce RTX 2080 Super Max-Q||64 GB, DDR4||4.39 lbs||Unavailable|
|4||EVOC X170KM-G HIDevolution||EVOC||Windows 10 Pro||Intel 10th Generation Comet Lake i9-10900K 10 Core – 20 Thread Processor, 3.7 GHz||20 MB Smart Cache with NVIDIA GeForce RTX 3080 w/ 16 GB GDDR6||4 TB SSD||8.38 lbs||Above $5000 USD|
|5||Apple MacBook Pro||Apple Inc.||Mac OS||Intel Core i9–10875H up to 4.8 GHz.||AMD Radeon Pro 5500M 4 GB||16GB RAM DDR4||4.3 lbs||Unavailable|
|6||Eluktronics MAX 15||Eluktronics||Windows 10 Home||AMD Ryzen 9 5900HX||NVIDIA GeForce RTX 3070||16GB DDR4 3200MHz dual channel RAM||3.84 lbs||Between $2300 USD and $3000 USD|
|7||Microsoft Surface Book 2 / 3||Microsoft||Windows 10 Pro||Intel Quad Core i7 Processor||NVIDIA GeForce GTX 1060||512 GB flash SSD||4.2 lbs||Between $2300 USD and $3000 USD|
|8||ASUS ROG Zephyrus GX501||ASUS||Windows 10 Pro||8th-Gen Intel Core i7-8750H||NVIDIA GeForce GTX 1080||DDR4 SDRAM / 512 GB Flash SSD||4.97 lbs||Between $2300 USD and $3000 USD|
|9||Razer Blade 15||RAZER||Windows 10 Pro||Intel Core i7-8750H 6 Core Processor||NVIDIA GeForce RTX 2080 Max-Q||512 GB flash SSD||Unavailable|
|10||Gigabyte AERO 15 Classic-SA-F74ADW||GIGABYTE||Windows 10 Home||Intel Core i7 9750h||NVIDIA GeForce GTX 1660 Ti GDDR6 6GB + NVIDIA Optimus||16GB DDR4 2666MHz Samsung DRAM module||7.4 lbs||Unavailable|
Depending on user’s requirements, budget, performance optimization, and need for storage, there are numerous choices available in the market, however, these top 10 definitely perform better than the rest in the field. In the coming months, we expect more products and accessories would be made available online from the leading manufacturers and suppliers of the best high-speed laptops for AI and machine learning computing workflows.