High performance 2U server with Dual Intel Xeon CPUs, 16 DIMMs, 8 hot-swap HDD bays and option of adding up to 4 GPUs which can be either Nvidia Tesla cards or Nvidia Quadro series cards is perfect for AI and Deep Learning projects.

  • Chipset : C621 Chipset ATX Motherboard
  • Cooling: Air Cooler
  • PSU: 1+1 Redundant 1600W 80 PLUS Platinum Power Supply
RAM: 128 GB Total
Graphic Card:
Standard: 3 years RTB (offsite) part replacement/repair warranty from Ant PC with Lifetime technical support (Remotely) & 7 Days DOA Policy.
Premium: 1 Year Onsite + 2 Years RTB (offsite) part replacement/repair warranty from Ant PC with technical support (Remotely) & 15 Days DOA Policy.
Premium Plus: 3 Years Onsite part replacement/repair warranty from Ant PC with Lifetime technical support (Remotely) & 30 Days DOA Policy.
Return to base warranty means if any of the component becomes faulty during the warranty period then customer will have to send the faulty part to Ant PC service centre & Ant PC will send back the replaced/repaired part to the customer.
Dead on Arrival, if the product doesn’t start/work or found physically damaged on delivery then customer will have to inform Ant PC within the DOA policy duration about the same and Ant PC shall take care of the system & resolve the issue on customer’s site.
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Expected date of Dispatch : Aug 01, 2024
Further Enquiry / Support Call:- +91-888 012 6872
Custom Built Solutions

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Our solutions are plug & play without any complex installation

Why you should buy from Ant PC?

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Every Ant PC is unique

Our workstations are extensively customisable as per your requirements which makes your Ant PC Workstation PC unique.

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Performance Grade Cooling

Ant PC Workstations are equipped with performance cooling solutions so that you could peak your components without stressing them out.

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Stress Tested

Our Workstation PCs are stress tested with advance burn-in test techniques so as ensure that you get reliability and performance.

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Upto 3 Years of Onsite Warranty

Every Ant PC comes with standard 3 Years RTB warranty or 3 Years of optional On-Site warranty at minimal cost that covers all your components and gives you peace of mind.

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Life Time Technical Support

Ant PC workstations comes with lifetime technical support which even exists even after warranty period that adds to the hassle free experience for you with Ant PCs

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80 Plus Quality Checks

To ensure that our Workstation PC exceeds the industry quality standards we have more than 80 quality check points in place so that you get best of the best.


ANT PC PHEIDOLE XE4210X is Built For Leading AI, Deep Learning & Machine Learning Applications



Caffe is a deep learning framework made with expression, speed, and modularity in mind. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices.



Theano is a numerical computation library for Python. In Theano, computations are expressed using a NumPy-esque syntax and compiled to run efficiently on either CPU or GPU architectures. Theano is an open source project[2] primarily developed by a machine learning group at the Université de Montréal.



TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.



Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.



Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation.



Tensors and Dynamic neural networks in Python with strong GPU acceleration.

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