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ANT PC PHEIDOLE CL700K ARI
Dual GPU Workstation Solution

The CL700K ARI is a Cube form factor workstation supporting 8th Generation Intel Core i7 Series processor and a maximum of 2 x Geforce, Quadro or Tesla Graphics to get you started with AI, Deep Learning & Machine Learning workflows. The CL700K ARI is built for the leading AI, Machine Leaning and Deep Learning applications like Tensorflow, Caffe, Theano, Keras, PyTorch and other GPU intensive applications.

  • 8th Gen Intel Core i7 Processor
  • Upto 64GB DDR4 RAM
  • 2 x 5.25”and 4 x 2.5” or 3.5” Drive Bays
  • Supports 2 x Geforce, Quadro or Tesla Graphics
  • Mini Tower Form Factor
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Custom Built Solutions

Our solutions are custom designed for your workflows

Payment Options

We offer wide range of payment options for your ease

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 1151
  • Processor Type    :-   Core i7
  • Processor Options    :-   8700-Series
  • Chipset    :-   Intel Z370
Memory
  • Maximum Memory    :-   64 GB
  • Technology    :-   DDR4 SDRAM
  • Number of Memory Slots    :-    4
Network & Communication
  • Ethernet Technology    :-   1000 Base-T
I/O Expansions
  • PCI Express    :-    2 x PCIe 3.0 x16, 3 x PCIe 3.0 x1, 1 x PCI
Interfaces/Ports
  • Total Number of USB Ports    :-   10
  • Number of USB 3.1 Ports    :-    8 (6 x Rear & 2 x Front)
  • Number of USB 2.0 Ports    :-    2 (Rear)
  • Number of SATA Interfaces    :-    6 x SATAIII
  • 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    :-    Mini
  • Height    :-    13''
  • Width    :-    17.4''
  • Depth    :-   16.7''

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 CL700K 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.