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Top 7 Laptops For Machine Learning Workloads Under ₹1 Lakh In 2020

Top 7 Laptops For Machine Learning Workloads Under ₹1 Lakh In 2020

Rohit Yadav
Machine Learning Laptops

Machine learning projects require high computation for processing a colossal amount of data to train and test models. A superior GPU and CPU at the helm can expedite the training process of deep learning models that usually take hours and in some cases a few days. Consequently, one needs a system that can deliver exceptional results on resource-intensive projects.

We list down top laptops under ₹100,000 that you can buy for your machine learning workloads. Undoubtedly, you cannot carry out all the machine learning projects as some projects require processing power that laptops under 1 lakhs cannot offer. However, below laptops can provide enough processing power for most of the machine learning-based projects.

Note: While writing this article, the price of laptops were under 1 lakhs. However, due to dynamic pricing, it may vary.

MSI GP63 8RE-442IN

Equipped with GeForce GTX 1060, MSI GP is the go-to laptop for machine learning projects under 100,000. The GPU has 1280 CUDA cores, which are essential for high-performance computing. Besides, the cooler boost technology keeps the temperature under control, thereby ensuring long-term continuous computation. However, the 120Hz refresh rate can cause hindrance while visualising real-time simulation of ML models.



Key Feature:

  1. Processor: Intel Core i7, 8th Gen 
  2. Storage: 1TB HDD + 256 GB SSD
  3. RAM: 16 GB
  4. Graphics: 6 GB, GeForce GTX 1060, GDDR5
  5. Battery: 6 cell
  6. Size:  15.6 inch
  7. Weight: 2.2 Kg
  8. Others: Cooler boost 5 technology, 120Hz refresh rate, 2 years warranty

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Acer Predator Triton 700

This is the second-best laptop that you can get under 1 lakhs although it has 1TB SDD storage for speed and 6 GB GTX 1060 GPU. It can deliver results comparable to our first choice but cannot overpower it as Acer Predator Triton 700 has a 7th gen Intel processor. I7 8th gen consists of 2 extra core, which can perform 50% better in multi-threaded tasks. Despite having a better refresh rate and storage capacity, it could only come second due to CUP performance.

Key Features:

  1. Processor: Intel Core i7, 7th Gen
  2. Storage: 1TB GB SSD
  3. RAM: 16 GB 
  4. Graphics: 6 GB, NVIDIA GeForce GTX 1060, GDDR5
  5. Battery: 5 hours
  6. Size: 15.6 inch
  7. Weight: 2.6 Kg
  8. Others: 144 Hz refresh rate, dual-fan cooling

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ASUS ROG Strix G G731GT

The GeForce GTX 1650 is 2x faster than GTX 950 and up to 70% faster than GTX 1050. However, it has only 896 CUDA core, which makes it less preferable than the  GTX1060. Another disadvantage of this laptop is that it only provides a backup of 4 hours. But, higher bus width and 12 threads help in carrying out many tasks at once. Thus, it makes it a good choice for ML projects.

Key Feature:

  1. Processor: Intel Core i7, 9th Gen
  2. Storage: 1TB SDD
  3. RAM: 16 GB
  4. Graphics: 4 GB, GeForce GTX 1650, GDDR5
  5. Battery: 4 hours
  6. Size:  17.3 inch
  7. Weight: 2.85 Kg
  8. Others: 4.5GHz, 12 Threads

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HP Pavilion 15-dk0051TX

The facet of this laptop is that it has a 144 Hz refresh rate. This is key if you want a faster response and smooth motion while doing ML projects. And with one of the latest processor, it makes the laptop an ideal for resource-intensive projects. Although the RAM is 12 GB, which is a little less than one may need, it still is one of the best under 1 lakh.

Key Feature:

  1. Processor: Intel Core i7, 9th Gen
  2. Storage: 1TB HDD + 512 GB SSD
  3. RAM: 12 GB
  4. Graphics: 4 GB, GeForce GTX 1650
  5. Battery: 3 Cell
  6. Size:  15.6 inch
  7. Weight: 2.28 Kg
  8. Others: 144 Hz refresh rate

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HP Omen 15-dc0084tx

With 768 CUDA cores, GeForce GTX 1050Ti is third-best when it comes to GPU after GTX 1650 and GTX 1060. Armed with 16 GB of RAM with a 144 Hz refresh rate, you can expect exceptional results from the laptop. But, it has only 128 GB of SSD, which is a huge disadvantage as one will not be able to use the speed of SSD for speed data transfer between resources. The SSD mostly will be captured by the OS, thereby leaving almost nothing for ML projects. 

See Also
Microsoft Inspire 2020

Key Feature:

  1. Processor: Intel Core i7, 8th Gen
  2. Storage: 1TB HDD + 128 GB SSD
  3. RAM: 16 GB
  4. Graphics: 4 GB, GeForce GTX 1050Ti
  5. Battery: 3 cell
  6. Size:  15.6 inch
  7. Weight: 2.32 Kg
  8. Others: 144 Hz refresh rate

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Acer Predator Helios 300 PH315-51-785W

It has one of the best graphics with 144 Hz refresh rate, which is a rare combination for a laptop under 1 lakh. It can handle most of the resource-intensive task effectively, but without SDD, you can expect a slow speed. Besides, it is bulky and has only 8 GB of RAM. If you can compromise in speed a bit and want a laptop that can take almost any workload, then this will be the best buy. 

Key Feature:

  1. Processor: Intel Core i7, 8th Gen
  2. Storage: 2 TB HDD
  3. RAM: 8 GB
  4. Graphics: 6 GB, GeForce GTX 1060, GDDR5
  5. Battery: 7 hours
  6. Size:  15.6 inch
  7. Weight: 2.7 Kg
  8. Others: 144 Hz refresh rate, 16 GB Optane memory

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HP Pavilion x360, cd0056TX

This is not an ideal laptop for ML projects, but if you want a multipurpose laptop that can support most of the mid-level workload as it has an entry-level graphics. If you mostly rely on the cloud for ML projects and use laptops only for light-weight analysis and office work, then it is a good choice as it has more backup, RAM, and is light-weight.

Key Features:

  1. Processor: Intel Core i7, 8th Gen
  2. Storage: 512 GB SSD
  3. RAM: 12 GB 
  4. Graphics: 4 GB, NVIDIA GeForce MX130
  5. Battery: 11 hours (Max)
  6. Size: 14 inch
  7. Weight: 1.59 Kg
  8. Others: Touchscreen, Fingerprint Reader, USB 3.1 Type-C Gen2

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