Best Laptops for Machine Learning Tasks
If you are a machine learning practitioner, you need a laptop that can handle the demands of your work. A good machine learning laptop should have a powerful processor, plenty of memory, and fast storage. The article lists some of the best laptops for machine learning projects for your machine learning projects.
If you are looking for some of the best-in-class laptops for machine learning and deep learning tasks, then you have come to the right place. It is crucial that you invest in a laptop that facilitates your work and meets the minimum requirements, which are –
- Minimum 7th Generation Intel® Core i7 Processors
- 16GB RAM
- 512GB disk space
- A minimum of 256 GB storage
- High Definition or FHD display
Let’s take a look at the best laptops for machine learning tasks.
Content
- Macbook M1 Pro
- Macbook M1 Max
- Tensorbook
- MSI GS65
- ASUS ROG Zephyrus S
- Dell XPS 15 9560
- Razer Blade 15
- Dell Inspiron i5577-7359BLK-PUS Gaming
- Gigabyte Aero 15W V9
- Dell Alienware Area 51M
1. Macbook M1 Pro
M1 Pro comes with a system-on-a-chip (SoC) architecture. It is the first time that pro systems feature SoC architecture. M1 Pro offers up to 200GB/s of memory bandwidth with support for up to 32GB of unified memory.
M1 Pro has an up-to-16-core GPU, making it 2x faster than M1. It is around 7x faster than the integrated graphics on the latest 8-core PC laptop chip. This suggests that complex workflows and heavy workloads are carried out without any problem.
| Feature | Specifications |
| CPU | 10-core CPU with eight performance cores and two efficiency cores; 16-core GPU; 16-core Neural Engine; 200Gbps memory bandwidth |
| GPU | 16-core GPU; 16-core Neural Engine; 200GB/s memory bandwidth |
| Storage | 512GB SSD Configurable to 1TB, 2TB, 4TB, or 8TB |
| RAM | 16GB unified memory, configurable to 32GB |
| Display | 14.2-inch (diagonal) Liquid Retina XDR display; 3024×1964 native resolution at 254 pixels per inch XDR (Extreme Dynamic Range) |
| Cost | Rs. 194,900 onwards |
The new machine also features two USB-C ports that support USB 4 and Thunderbolt 4, allowing the computer to play the 6K Pro Display XDR at full resolution. The M1 Pro integrates 33.7 billion transistors.
| Pros | Cons |
| Fast unified memory | High dev cost due for its unique hardware |
| Industry-leading performance per watt | Old design |
| Incredible power efficiency | Only two Thunderbolt ports |
| Enhanced media engines with dedicated ProRes accelerators specifically for pro video processing | Expensive |
| Lightweight |
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2. Macbook M1 Max
M1 Max delivers up to 400GB of memory bandwidth — 2 times that of M1 Pro and around 6x that of M1. M1 Max offers support for up to 64GB of unified memory.
Apple has not hesitated to call it “the world’s fastest compact professional laptop to perform any type of task”. And it is not surprising, because not only does it have one of the fastest processing engines seen so far. it’s also added its “studio-quality” microphone array and upgraded the webcam through improvements to the image signal processor.
| Feature | Specifications |
| CPU | 10-core CPU with eight performance cores and two efficiency cores; 32-core GPU; 16-core Neural Engine; 400Gbps memory bandwidth |
| GPU | 32-core GPU; 16-core Neural Engine; 400Gbps memory bandwidth |
| Storage | 1TB SSD Configurable to 2TB, 4TB, or 8TB |
| RAM | 32GB unified memory Configurable to 64GB |
| Display | 16.2-inch (diagonal) Liquid Retina XDR display;1 3456×2234 native resolution at 254 pixels per inch |
| Cost | Rs. 3,29,900 |
M1 Max also features the same 10-core CPU as M1 Pro. But it has an additional 32-core GPU for up to 4x faster graphics performance than M1. It has 57 billion transistors. M1 Max is the largest chip Apple has ever built.
| Pros | Cons |
| Transforms graphics-intensive workflows | Costly |
| Massive 32-core GPU for up to 4x faster graphics performance than M1 | Entry-level laptop doesn’t include fast charging plug |
| GPU delivers performance comparable to a high-end GPU, while consuming up to 40 percent less power | No Face ID |
| Excellent battery performance and higher-bandwidth on-chip fabric | |
| Configured with up to 64GB of fast unified memory |
3. Tensorbook
Lambda is a new company on the hardware front and has already conquered the market with Tensorbook. The laptop comes with Lambda Stack. With the Lambda Stack, you can easily install frameworks like TensorFlow, Keras, PyTorch, Caffe, Caffe 2, Theano, CUDA, cuDNN, and NVIDIA GPU drivers.
| Feature | Specifications |
| CPU | 8 cores, 2.20 GHz Intel Core i7-10870H with 16 threads, 5.00 GHz turbo, and 16 MB cache |
| GPU | RTX 3080 Max-Q; 16 GB GDDR6, 6144 CUDA cores, 1245-1710 MHz boost clock |
| Storage | 2 TB |
| RAM | 64 GB of 2666 MHz DDR4 SDRAM |
| Display | 15.6″; 1920×1080 (Full HD), 144 Hz, Matte, 72% NTSC |
| Cost | Rs. 2,48,136 with Ubuntu and Rs. 2,63,175 with pre-installed Windows |
Lambda Stack takes care of the upgrade if any new framework releases, making it a popular choice among machine and deep learning enthusiasts. The laptop has an 8GB GPU, 8 cores processor, 64 GB RAM, and 2TB storage. It is an efficient device for machine and deep learning projects.
| Pros | Cons |
| Excellent build quality & Lightweight | Low battery performance |
| Best in class storage | Expensive |
| Dual SSD | |
| Extremely powerful laptop for ML/DL tasks |
4. MSI GS65
If you are looking for a laptop that is both durable and portable, then the MSI GS65 Stealth is the one for Machine Learning. GS65 Stealth is an ultraportable 15.6-inch laptop. It has a thin bezel gaming display and a gold-and-black premium design.
The steel frame gives it a sturdy look. It has 36 GB of RAM with 512 GB of storage, an 8th generation Intel processor, RTX 2060, and GTX 1660Ti graphics card. It has an anti-glare 15.6-inch screen with a wide-angle view. For connectivity, you will get a USB 3.1 port, an HDMI port, 3 USB Type-A ports, and an Ethernet port.
| Feature | Specifications |
| CPU | Up to 9th Gen. Intel® Core™ i7 Processor |
| GPU | NVIDIA® GeForce® GTX 1660 Ti with 6GB GDDR6 |
| Storage | 512 GB |
| RAM | 36 GB |
| Display | 15.6″ FHD (1920×1080), 144Hz, IPS-Level |
| Cost | Rs. 249,390 |
It’s a stylish laptop that stands out from the crowd. The MSI GS65 was specifically designed for machine learning and offers many great features. It has an ultra-slim screen, making the most of the available space. In terms of specs, this laptop ticks all the boxes for machine learning capabilities.
| Pros | Cons |
| Ultra-thin display | Expensive |
| Wide-angle 4K view | The laptop design could have been better |
| Good battery life | Memory not configured to run in dual channel mode out of the box |
| Sleek look |
5. ASUS ROG Zephyrus S
ASUS ROG Zephyrus S GX531GX is a popular ultra-slim gaming laptop. It is among the most efficient laptops for machine learning projects because of its powerful GPU components.
This high-performing laptop from Asus is among the best laptops for machine learning. ASUS ROG Zephyrus is suitable for both machine learning and deep learning. It has 8th gen Intel core and NVIDIA RTX 2070 to support multitasking.
| Feature | Specifications |
| CPU | 2.2 GHz Intel Core i7-8750H 8th Gen processor |
| GPU | NVIDIA GeForce RTX 2070 with Max-Q Design |
| Storage | 1TB |
| RAM | 16GB DDR4 RAM |
| Display | 15.6-Inch FHD (1920×1080) Anti Glare IPS-level panel, 144Hz Refresh Rate, 3ms Response Time, 178 degree Viewing Angle, Panton Validated |
| Cost | Rs. 239,990 |
It is an ultra-thin laptop with nice orange highlights. ASUS ROG Zephyrus has a 2-hour battery life on the standard mode.
| Pros | Cons |
| Anti Glare screen with wide-angle display | The cost is on the higher side |
| Powerful performance | Gets heated during heavy sessions |
| Useful for both ML and DL | Noisy fans under load |
| Ultra-thin look |
6. Dell XPS 15 9560
Dell XPS 15 is a very useful device for both gamers and machine learning engineers. It is a powerful laptop with an excellent battery. It has a 15.6″screen with a 4K display version and excellent color performance for pro design work.
| Feature | Specifications |
| CPU | 7th Generation Intel® Core™ i7-7700HQ Quad-Core Processor (6M cache, up to 3.8 GHz) |
| GPU | NVIDIA® GeForce® GTX 1050 with 4GB GDDR5 and integrated Intel® Iris™ Graphics 640 |
| Storage | Up to 1TB SSD |
| RAM | Up to 32GB 2400MHz DDR4 RAM |
| Display | 15.6″(3840 x 2160) 4K 282ppi IPS LCD glossy |
| Cost | Rs. 304,437 |
It has a CNC machined aluminum body and carbon fiber composite palm rest with soft-touch paint. The keyboard is full-size, backlit chiclet, and has a precision touchpad.
It is easy to carry around given its lightweight. Dell XPS 15 9560 has a powerful processor, a decent graphics chipset, and a very good battery life.
| Pros | Cons |
| Excellent display | Keyboard is not up to the mark |
| Strong performance | Expensive in the segment |
| Robust construction | No webcam |
| Large battery | Heats up |
7. Razer Blade 15
Razer laptops have always stood out for their power and performance. In Jan 2022, the company came with the biggest updates, the Blade 14, Blade 15, and Blade 17. Here we are talking about Razer Blade 15. Razer Blade 15 laptop is an upgraded version, It has NVIDIA RTX 3080 Ti GPU in case you are ready to splurge some money.
| Feature | Specifications |
| CPU | 12th GenerationIntel Core i7-12800H |
| GPU | Nvidia’s RTX 3080 Ti |
| Storage | 1TB PCIe; Extra M.2 PCIe Slot |
| RAM | 16 GB DDR5 4800MHz dual-channel |
| Display | 15.6 inch (1440 x 2560) |
| Cost | Rs. 1,87,925 (May get updated) |
Razer Blade 15 laptops are accompanied by 16 GB of DDR5 RAM, Intel’s 12th Gen CPU in all the variants, except for the top one, which has an Intel Core i9-12900HK processor.
Razer Blade 15 laptops are available in three different 15-inch panels – FHD 360Hz, QHD 240Hz, or 4K 144Hz.
| Pros | Cons |
| Easy to upgrade | Low battery performance |
| Realistic ray-traced graphics | Gets heated |
| CAN deliver 100 frames per second at 1440p resolution | Loud cooling fan |
| Enhanced response time | No USB-C charging in the base model |
| Great build quality and compact |
8. Dell Inspiron
Dell Inspiron is a Windows 10 laptop. It has a 15.6″ display and a resolution of 1920×1080 pixels. It is powered by a Core i7 processor and it comes with 8GB of RAM. The GPU of Dell Inspiron I5577-7359BLK is powered by Nvidia GeForce GTX 1050. Connectivity options include Wi-Fi 802.11 ac, Bluetooth and it comes with Mic In ports.
| Feature | Specifications |
| CPU | Intel Core i7 7th Gen 7700HQ |
| GPU | Nvidia GeForce GTX 1050 |
| Storage | 512GB Pie Solid State Drive, No Optical Drive option |
| RAM | 16GB, 2400MHz, DDR4; up to 32GB (additional memory sold separately) [16G2D] |
| Display | 15.6” Full HD 1920*1080 |
| Cost | 89,490 |
If you are considering investing in a budget laptop for your machine learning projects, office work, programming or video editing jobs then Inspiron 15 can be a very good deal.
| Pros | Cons |
| Cost effective | Low quality display |
| Smooth 1080p gaming | A USB Type C port could have been useful |
| Attractive design | Lacks IPS Technology |
| Good battery life | |
| Fast booting with 256GB SSD |
9. Gigabyte Aero 15X
Gigabyte Aero 15X is a Windows 10 lightweight gaming laptop with good performance in machine learning tasks as well. It has a 4K/UHD, good build quality, and excellent battery life. Connectivity options include Wi-Fi 802.11 ac, Bluetooth and it comes with 2 USB ports, HDMI Port, Multi Card Slot, VGA Port, Mic In, RJ45 (LAN) ports.
| Feature | Specifications |
| CPU | Intel Core i7-8750H 6 x 2.2 – 4.1 GHz, Coffee Lake-H |
| GPU | NVIDIA GeForce GTX 1060 GDDR5 6GB |
| Storage | 512 GB SSD |
| RAM | 16384 MB, DDR4-2666, single-channel, two SODIMM slots; one occupied, maximum of 64 GB RAM |
| Display | 15.60 inch 16:9, 1920 x 1080 pixel 141 PPI, LGD05C0, IPS, Full HD, X-Rite Pantone, 144 Hz, glossy: no |
| Cost | Rs. 2,36,216 |
| Pros | Cons |
| Thin, light design | Expensive |
| Advanced 4K HDR AMOLED display | Gets slow during intensive writing tasks |
| Ultra-fast transfer speed | Takes time to install updates |
| Long battery life | The trackpad doesn’t have Windows Precision drivers |
| Good keyboard with efficient backlighting |
10. Dell Alienware Area 51M
Alienware Area 51M is a powerful and overclockable gaming laptop with NVIDIA graphics. It features up to 10th Gen Intel® Core™ i9K processors, has advanced cooling, premium design, and offers peak performance and power. The laptop has up to 32GB of DDR4 memory and sufficient RAM for resource-intensive tasks. It has a massive 17.3-inch display.
The laptop is on the heavier side but supports machine learning as well as deep learning tasks. Dell Alienware Area 51M also has multiple connectivity options.
| Feature | Specifications |
| CPU | 9th Generation Intel Core i9-9900HK (8-Core, 16MB Cache, up to 5.0Ghz w/Turbo Boost) |
| GPU | NVIDIA GeForce RTX 2070 8 GB |
| Storage | 1 TB SSD |
| RAM | 16 GB DDR4, ROM : 1 TB HDD + 512 GB PCIe SSD |
| Display | 17.3”, Full HD (1920 x 1080), 144 Hz, IPS |
| Cost | Rs. 2,79,494 |
| Pros | Cons |
| Reduced screen borders | Heavy |
| Big screen | Expensive |
| Excellent graphics and overall performance for machine and deep learning tasks | Powered by two large power adapters. |
| Quick data processing | No MicroSD Card Slot |
| Multiple connectivity options | Mediocre NVMe SSD Selection |
Conclusion
I would recommend going with the latest generation CPU, especially octa-core and GPU if you are into machine learning as well as deep learning. A good GPU increases collective performance.
Hope this article helped you finalize the best laptops for machine learning tasks. I will soon upload a new blog on Best Laptop Configuration for Your Machine Learning Projects.
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