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ANT PC PHEIDOLE KL900XE ARI
Quad GPU Workstation Solution

The KL900XE ARI is a Cube form factor workstation supporting Intel Core i9 7900X-Series processor and a maximum of 4 x Geforce, Quadro or Tesla Graphics. The KL900XE ARI is one of the best Workstation for Artificial Intelligence, Deep Learning and Machine Learning GPU computing workflows. KL900XE ARI is designed to run perfectively with leading applications like Tensorflow, Caffe, Theano, Keras, PyTorch and other GPU computing based applications.

  • Intel Core i9 Processor
  • Upto 128GB DDR4 RAM
  • 2 x 5.25”, 4 x 2.5” and 2 x 3.5” Drive Bays
  • Supports 4 x Geforce, Quadro or Tesla Graphics
  • Cube Form Factor
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Custom Built Solutions

Our solutions are custom designed for your workflows

Payment Options

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Pan India Shipping

We deliver to PAN India with in-transit insurance

Plug & Play Solutions

Our solutions are plug & play without any complex installation

    Specifications :

Processor & Chipset
  • Number of Processors Supported    :-   1
  • Socket Type    :-   LGA 2066
  • Processor Type    :-   Core i9
  • Processor Options    :-   7900X – Series
  • Chipset    :-   Intel X299
Memory
  • Maximum Memory    :-   128GB Memory
  • Technology    :-   DDR4 SDRAM Memory
  • Number of Memory Slots    :-    8
Network & Communication
  • Ethernet Technology    :-   1000 Base-T
I/O Expansions
  • PCI Express    :-    7 x PCIe 3.0/2.0 x16
Interfaces/Ports
  • Total Number of USB Ports    :-   12
  • Number of USB 3.1 Ports    :-    8 ( 6 x Rear & 2 X Front)
  • Number of USB 2.0 Ports    :-    4 (Rear)
  • Number of SATA Interfaces    :-    8 x SATAIII ports
  • Network & Communication    :-    1 x Intel® I219-V Gigabit LAN controller
Power Description
  • Number of Power Supplies    :-    1
  • Redundant Power Supplies    :-    No
  • Certification    :-    80 Plus Gold Certified
Physical Characteristics
  • Color    :-    Black
  • Form Factor    :-    Cube
  • Height    :-    18"
  • Width    :-    13"
  • Depth    :-   25.5"

Every Ant PC is uniqueOur workstations are extensively customisable as per your requirements which makes your Ant PC Workstation PC unique.

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

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

Upto 3 Years of Onsite WarrantyEvery Ant PC comes with standard 1 Year On-site warranty with 2 Years of additional extended On-Site warranty at minimal cost that covers all your components and gives you peace of mind.

Life Time Technical SupportAnt 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

80 Plus Quality ChecksTo 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.

Designed For Leading Applications

ANT PC PHEIDOLE KL900XE ARI 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.


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.


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.


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.