Game-Changing Insights: Discover our PC Buying Guide
CPU
For data processing libraries such as Numpy, Pandas, Scipy and for plotting Matplotlib and Seaborn are used. To be able to make the data processing rapid-speed, a powerful CPU is much essential.
GPU
The GPU is just the heart of deep learning applications. Neural Networks like CNN uses libraries such as TensorFlow and PyTorch. In order to perform these tasks steadily, a performance GPU is required.
SSD
Investing in a high-capacity and high-speed SSD can significantly reduce data loading times and improve overall system responsiveness, which is crucial when working with large datasets and complex models.
RAM
The larger the RAM the higher the amount of data it can handle, leading to faster processing. With more RAM you can use your machine to perform other tasks as the model trains.
*Hover over each tile to get the info for each essential component.
Click on each tile to get the info for each essential component
CPU
For data processing libraries such as Numpy, Pandas, Scipy and for plotting Matplotlib and Seaborn are used. To be able to make the data processing rapid-speed, a powerful CPU is much essential.
GPU
The GPU is just the heart of deep learning applications. Neural Networks like CNN uses libraries such as TensorFlow and PyTorch. In order to perform these tasks steadily, a performance GPU is required.
SSD
Investing in a high-capacity and high-speed SSD can significantly reduce data loading times and improve overall system responsiveness, which is crucial when working with large datasets and complex models.
RAM
The larger the RAM the higher the amount of data it can handle, leading to faster processing. With more RAM you can use your machine to perform other tasks as the model trains.
BEST WORKSTATIONS FOR ARTIFICIAL INTELLIGENCE, MACHINE LEARNING & DEEP LEARNING
Find the Best Workstations for Artificial Intelligence, Machine Learning & Deep Learning with the best configurations that the industry has to offer according to your budget and needs.
We do not compromise on the build and ensure that you get the pure raw performance and optimisation with smoothness so that you get seamless experience.
DLM Class 1 ( i7 14700K + RTX A5000 )
₹378,617.00/-
Key Highlights:
- Intel i7 14700K (20C/28T @5.60GHz)
- MSI PRO Z790-A MAX WiFi D5
- 64GB 6000MHz DDR5 Kingston Fury Beast / Corsair Vengeance / T-Force Vulcan Z / Adata XPG Hunter (32GB x 2)
- 2TB M.2 NVMe XPG S70 Blade Gen4 SSD
DLM Class 1 ( Ryzen 9 7900X + RTX A5000 )
₹388,516.00/-
Key Highlights:
- AMD Ryzen 9 7900X (12C/24T @5.6GHz)
- MSI PRO X670-P WiFi
- 64GB 6000MHz DDR5 Kingston Fury Beast / Corsair Vengeance / T-Force Vulcan Z / Adata XPG Hunter (32GB x 2)
- 2TB M.2 NVMe XPG S70 Blade Gen4 SSD
DLM Class 2 ( i9 13900K + RTX A6000 )
₹560,587.00/-
Key Highlights:
- Intel i9 13900K (24C / 32T @5.80GHz)
- MSI MAG Z790 Tomahawk WiFi D5
- 64GB 6000MHz DDR5 Kingston Fury Beast / Corsair Vengeance / T-Force Vulcan Z / Adata XPG Hunter (32GB x 2)
- 2TB M.2 NVMe XPG S70 Blade Gen4 SSD
DLM Class 2 ( Ryzen 9 7950X + RTX A6000 )
₹566,632.00/-
Key Highlights:
- AMD Ryzen 9 7950X (16C/32T @5.7GHz)
- Asus TUF Gaming X670E Plus WiFi
- 64GB 6000MHz DDR5 Kingston Fury Beast / Corsair Vengeance / T-Force Vulcan Z / Adata XPG Hunter (32GB x 2)
- 2TB M.2 NVMe XPG S70 Blade Gen4 SSD
DLM Class 3 ( i9 14900K + RTX A6000 )
₹614,043.00/-
Key Highlights:
- Intel i9 14900K (24C/32T @6.0GHz)
- 128GB 5200MHz DDR5 Kingston Fury Beast / Corsair Vengeance / T-Force Vulcan Z / Adata XPG Hunter (32GB x 4)
- 2TB M.2 NVMe XPG S70 Blade Gen4 SSD
DLM Class 3 ( Ryzen 9 7950X 3D + RTX A6000 )
₹628,914.00/-
Key Highlights:
- AMD Ryzen 9 7950X 3D (16C/32T @5.7GHz)
- Asus ROG Strix X670E-E Gaming WiFi
- 128GB 5200MHz DDR5 Kingston Fury Beast / Corsair Vengeance / T-Force Vulcan Z / Adata XPG Hunter (32GB x 4)
- 2TB M.2 NVMe XPG S70 Blade Gen4 SSD
Beyond Workstations for Artificial Intelligence, Machine Learning & Deep Learning!
We also pioneer in serving PCs for Workstations for Stock Trading or Workstations for Animation/3D Rendering! You might want to have a look at them
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